Reconstructing the Initial Relaxation Time of Young Star Clusters in the Large Magellanic C
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RANDOM WALK TO GRAPHENENobel Lecture, December 8, 2010byANDRE K. GEIMSchool of Phys i cs and Astronomy, The Un i vers i ty of Manchester, Oxford Road, Manchester M13 9PL, Un i ted K i ngdom.If one wants to understand the beaut i ful phys i cs of graphene, they w i ll be spo i led for cho i ce w i th so many rev i ews and popular sc i ence art i cles now ava i lable. I hope that the reader w i ll excuse me i f on th i s occas i on I recommend my own wr i t i ngs [1–3]. Instead of repeat i ng myself here, I have chosen to descr i be my tw i sty sc i ent ific road that eventually led to the Nobel Pr i ze. Most parts of th i s story are not descr i bed anywhere else, and i ts t i me-l i ne covers the per i od from my PhD i n 1987 to the moment when our 2004 paper, recogn i sed by the Nobel Comm i ttee, was accepted for publ i cat i on. The story naturally gets denser i n events and explanat i ons towards the end. Also, i t prov i des a deta i led rev i ew of pre-2004 l i terature and, w i th the benefit of h i nds i ght, attempts to analyse why graphene has attracted so much i nter-est. I have tr i ed my best to make th i s art i cle not only i nformat i ve but also easy to read, even for non-phys i c i sts.ZOMBIE MANAGEMENTMy PhD thes i s was called “Invest i gat i on of mechan i sms of transport relaxa-t i on i n metals by a hel i con resonance method”. All I can say i s that the stuff was as i nterest i ng at that t i me as i t sounds to the reader today. I publ i shed five journal papers and fin i shed the thes i s i n five years, the offic i al durat i on for a PhD at my i nst i tut i on, the Inst i tute of Sol i d State Phys i cs.Web of Sc i ence so-berly reveals that the papers were c i ted tw i ce, by co-authors only. The subject was dead a decade before I even started my PhD. However, every cloud has i ts s i lver l i n i ng, and what I un i quely learned from that exper i ence was that I should never torture research students by offer i ng them “zomb i e” projects. After my PhD, I worked as a staff sc i ent i st at the Inst i tute of M i cro-electron i cs Technology, Chernogolovka, wh i ch belongs to the Russ i an Academy of Sc i ences. The Sov i et system allowed and even encouraged jun i or staff to choose the i r own l i ne of research. After a year of pok i ng i n d i fferent d i rect i ons, I separated research-w i se from my former PhD superv i sor, V i ctor Petrashov, and started develop i ng my own n i che. It was an exper i mental system that was both new and doable, wh i ch was nearly an oxymoron, tak i ng i nto account the scarce resources ava i lable at the t i me at Sov i et researchi nst i tutes. I fabr i cated a sandw i ch cons i st i ng of a th i n metal film and a super-conductor separated by a th i n i nsulator. The superconductor served only to condense an external magnet i c field i nto an array of vort i ces, and th i s h i ghly i nhomogeneous magnet i c field was projected onto the film under i nvest i ga-t i on. Electron transport i n such a m i croscop i cally i nhomogeneous field (vary i ng on a subm i cron scale) was new research terr i tory, and I publ i shed the first exper i mental report on the subject [4], wh i ch was closely followed by an i ndependent paper from S i mon Bend i ng [5]. It was an i nterest i ng and reasonably i mportant n i che, and I cont i nued study i ng the subject for the next few years, i nclud i ng a spell at the Un i vers i ty of Bath i n 1991 as a postdoctoral researcher work i ng w i th S i mon.Th i s exper i ence taught me an i mportant lesson: that i ntroduc i ng a new exper i mental system i s generally more reward i ng than try i ng to find new phenomena w i th i n crowded areas. The chances of success are much h i gher where the field i s new. Of course, the fantast i c results one or i g i nally hopes for are unl i kely to mater i al i se, but, i n the process of study i ng any new system, someth i ng or i g i nal i nev i tably shows up.ONE MAN’S JUNK, ANOTHER MAN’S GOLDIn 1990, thanks to V i taly Ar i stov, d i rector of my Inst i tute i n Chernogolovka at the t i me, I rece i ved a s i x month v i s i t i ng fellowsh i p from the Br i t i sh Royal Soc i ety. Laurence Eaves and Peter Ma i n from Nott i ngham Un i vers i ty k i ndly agreed to accept me as a v i s i tor. S i x months i s a very short per i od for exper i mental work, and c i rcumstances d i ctated that I could only study de-v i ces read i ly ava i lable i n the host laboratory. Ava i lable were subm i cron GaAs w i res left over from prev i ous exper i ments, all done and dusted a few years earl i er. Under the c i rcumstances, my exper i ence of work i ng i n a poverty-str i cken Sov i et academy was helpful. The samples that my hosts cons i dered pract i cally exhausted looked l i ke a gold ve i n to me, and I started work i ng 100 hours per week to explo i t i t. Th i s short v i s i t led to two Phys. Rev. Letters of decent qual i ty [6,7], and I often use th i s exper i ence to tease my younger colleagues. When th i ngs do not go as planned and people start compla i n i ng, I provoke them by procla i m i ng ‘there i s no such th i ng as bad samples; there are only bad postdocs/students’. Search carefully and you w i ll always find someth i ng new. Of course, i t i s better to avo i d such exper i ences and explore new terr i tor i es, but even i f one i s fortunate enough to find an exper i mental system as new and exc i t i ng as graphene, met i culousness and perseverance allow one to progress much further.The pace of research at Nott i ngham was so relentless and, at the same t i me so i nsp i r i ng, that a return to Russ i a was not an opt i on. Sw i mm i ng through Sov i et treacle seemed no less than wast i ng the rest of my l i fe. So at the age of th i rty-three and w i th an h-i ndex of 1 (latest papers not yet publ i shed), I entered the Western job market for postdocs. Dur i ng the next four years I moved between d i fferent un i vers i t i es, from Nott i ngham to Copenhagen to Bath and back to Nott i ngham. Each move allowed me to get acqua i nted w i thyet another top i c or two, s i gn ificantly broaden i ng my research hor i zons. The phys i cs I stud i ed i n those years could be broadly descr i bed as mesoscop i c and i nvolved such systems and phenomena as two-d i mens i onal electron gases (2DEGs), quantum po i nt contacts, resonant tunnell i ng and the quantum Hall effect (QHE), to name but a few. In add i t i on, I became fam i l i ar w i th GaAlAs heterostructures grown by molecular beam ep i taxy (MBE) and i mproved my expert i se i n m i crofabr i cat i on and electron-beam l i thography, technolog i es I had started learn i ng i n Russ i a. All these elements came together to form the foundat i on for the successful work on graphene a decade later.DUTCH COMFORTBy 1994 I had publ i shed enough qual i ty papers and attended enough con-ferences to hope for a permanent academ i c pos i t i on. When I was offered an assoc i ate professorsh i p at the Un i vers i ty of N i jmegen, I i nstantly se i zed upon the chance of hav i ng some secur i ty i n my new post-Sov i et l i fe. The first task i n N i jmegen was of course to establ i sh myself. To th i s end, there was no start-up and no m i crofabr i cat i on to cont i nue any of my prev i ous l i nes of re-search. As resources, I was offered access to magnets, cryostats and electron i c equ i pment ava i lable at N i jmegen’s H i gh F i eld Magnet Laboratory, led by Jan Kees Maan. He was also my formal boss and i n charge of all the money. Even when I was awarded grants as the pr i nc i pal i nvest i gator (the Dutch fund i ng agency FOM was generous dur i ng my stay i n N i jmegen), I could not spend the money as I w i shed. All funds were d i str i buted through so-called ‘work i ng groups’ led by full professors. In add i t i on, PhD students i n the Netherlands could formally be superv i sed only by full professors. Although th i s probably sounds strange to many, th i s was the Dutch academ i c system of the 1990s. It was tough for me then. For a couple of years, I really struggled to adjust to the system, wh i ch was such a contrast to my joyful and product i ve years at Nott i ngham. In add i t i on, the s i tuat i on was a b i t surreal because outs i de the un i vers i ty walls I rece i ved a warm-hearted welcome from everyone around, i nclud i ng Jan Kees and other academ i cs.St i ll, the research opportun i t i es i n N i jmegen were much better than i n Russ i a and, eventually, I managed to surv i ve sc i ent ifically, thanks to help from abroad. Nott i ngham colleagues (i n part i cular Mohamed Hen i n i) prov i ded me w i th 2DEGs that were sent to Chernogolovka, where Sergey Dubonos, a close colleague and fr i end from the 1980s, m i crofabr i cated requested dev i ces. The research top i c I eventually found and later focused on can be referred to as mesoscop i c superconduct i v i ty. Sergey and I used m i cron-s i zed Hall bars made from a 2DEG as local probes of the magnet i c field around small superconduct i ng samples. Th i s allowed measurements of the i r magnet i sat i on w i th accuracy suffic i ent to detect not only the entry and ex i t of i nd i v i dual vort i ces but also much more subtle changes. Th i s was a new exper i mental n i che, made poss i ble by the development of an or i g i nal techn i que of ball i st i c Hall m i cromagnetometry [8]. Dur i ng the next fewyears, we explo i ted th i s n i che area and publ i shed several papers i n Nature and Phys. Rev. Letters wh i ch reported a paramagnet i c Me i ssner effect, vort i ces carry i ng fract i onal flux, vortex configurat i ons i n confined geometr i es and so on. My w i fe Ir i na Gr i gor i eva, an expert i n vortex phys i cs [9], could not find a job i n the Netherlands and therefore had plenty of t i me to help me w i th conquer i ng the subject and wr i t i ng papers. Also, Sergey not only made the dev i ces but also v i s i ted N i jmegen to help w i th measurements. We establ i shed a very product i ve modus operand i where he collected data and I analysed them w i th i n an hour on my computer next door to dec i de what should be done next.A SPELL OF LEVITYThe first results on mesoscop i c superconduct i v i ty started emerg i ng i n 1996, wh i ch made me feel safer w i th i n the Dutch system and also more i nqu i s i-t i ve. I started look i ng around for new areas to explore. The major fac i l i ty at N i jmegen’s H i gh F i eld Lab was powerful electromagnets. They were a major headache, too. These magnets could prov i de fields up to 20 T, wh i ch was somewhat h i gher than 16 to 18 T ava i lable w i th the superconduct i ng magnets that many of our compet i tors had. On the other hand, the elec-tromagnets were so expens i ve to run that we could use them only for a few hours at n i ght, when electr i c i ty was cheaper. My work on mesoscop i c super-conduct i v i ty requ i red only t i ny fields (< 0.01T), and I d i d not use the electro-magnets. Th i s made me feel gu i lty as well as respons i ble for com i ng up w i th exper i ments that would just i fy the fac i l i ty’s ex i stence. The only compet i t i ve edge I could see i n the electromagnets was the i r room temperature (T) bore. Th i s was often cons i dered as an extra d i sadvantage because research i n condensed matter phys i cs typ i cally requ i res low, l i qu i d-hel i um T. The con-trad i ct i on prompted me, as well as other researchers work i ng i n the lab, to ponder on h i gh-field phenomena at room T. Unfortunately, there were few to choose from.Eventually, I stumbled across the mystery of so-called magnet i c water. It i s cla i med that putt i ng a small magnet around a hot water p i pe prevents format i on of scale i ns i de the p i pe. Or i nstall such a magnet on a water tap, and your kettle w i ll never suffer from chalky depos i ts. These magnets are ava i lable i n a great var i ety i n many shops and on the i nternet. There are also hundreds of art i cles wr i tten on th i s phenomenon, but the phys i cs beh i nd i t rema i ns unclear, and many researchers are scept i cal about the very ex i stence of the effect [10]. Over the last fifteen years I have made several attempts to i nvest i gate “magnet i c water” but they were i nconclus i ve, and I st i ll have noth i ng to add to the argument. However, the ava i lab i l i ty of ultra-h i gh fields i n a room T env i ronment i nv i ted lateral th i nk i ng about water. Bas i cally, i f magnet i c water ex i sted, I thought, then the effect should be clearer i n 20 T rather than i n typ i cal fields of <0.1 T created by standard magnets.W i th th i s i dea i n m i nd and, allegedly, on a Fr i day n i ght, I poured water i ns i de the lab’s electromagnet when i t was at i ts max i mum power. Pour i ngwater i n one's equ i pment i s certa i nly not a standard sc i ent ific approach, and I cannot recall why I behaved so ‘unprofess i onally’. Apparently, no one had tr i ed such a s i lly th i ng before, although s i m i lar fac i l i t i es ex i sted i n several places around the world for decades. To my surpr i se, water d i d not end up on the floor but got stuck i n the vert i cal bore of the magnet. Humberto Carmona, a v i s i t i ng student from Nott i ngham, and I played for an hour w i th the water by break i ng the blockage w i th a wooden st i ck and chang i ng the field strength. As a result, we saw balls of lev i tat i ng water (F i gure 1). Th i s was awesome. It took l i ttle t i me to real i se that the phys i cs beh i nd was good old d i amagnet i sm. It took much longer to adjust my i ntu i t i on to the fact that the feeble magnet i c response of water (~10–5), b i ll i ons of t i mes weaker than that of i ron, was suffic i ent to compensate the earth’s grav i ty. Many colleagues, i nclud i ng those who worked w i th h i gh magnet i c fields all the i r l i ves, were flabbergasted, and some of them even argued that th i s was a hoax.I spent the next few months demonstrat i ng magnet i c lev i tat i on to colleagues and v i s i tors, as well as try i ng to make a ‘non-boffin’i llustrat i on for th i s beaut i ful phenomenon. Out of the many objects that we had float i ng i ns i de the magnet, i t was the i mage of a lev i tat i ng frog (F i gure 1) that started the med i a hype. More i mportantly, though, beh i nd all the med i a no i se, th i s i mage found i ts way i nto many textbooks. However qu i rky, i t has become a beaut i ful symbol of ever-present d i amagnet i sm, wh i ch i s no longer perce i ved to be extremely feeble. Somet i mes I am stopped at conferences by people excla i m i ng “I know you! Sorry, i t i s not about graphene. I start my lectures w i th show i ng your frog. Students always want to learn how i t could fly.” The frog story, w i th some i ntr i cate phys i cs beh i nd the stab i l i ty of d i amagnet i c lev i tat i on, i s descr i bed i n my rev i ew i n Phys i cs Today [11].F i gure 1. Lev i tat i ng moments i n N i jmegen. Left – Ball of water (about 5 cm i n d i ameter) freely floats i ns i de the vert i cal bore of an electromagnet. R i ght – The frog that learned to fly. Th i s i mage cont i nues to serve as a symbol show i ng that magnet i sm of ‘nonmagnet i c th i ngs’, i nclud i ng humans, i s not so negl i g i ble. Th i s exper i ment earned M i chael Berry and me the 2000 Ig Nobel Pr i ze. We were asked first whether we dared to accept th i s pr i ze, and I take pr i de i n our sense of humour and self-deprecat i on that we d i d.FRIDAY NIGHT EXPERIMENTSThe lev i tat i on exper i ence was both i nterest i ng and add i ct i ve. It taught me the i mportant lesson that pok i ng i n d i rect i ons far away from my i mmed i ate area of expert i se could lead to i nterest i ng results, even i f the i n i t i al i deas were extremely bas i c. Th i s i n turn i nfluenced my research style, as I started mak i ng s i m i lar exploratory detours that somehow acqu i red the name ‘Fr i day n i ght exper i ments’. The term i s of course i naccurate. No ser i ous work can be accompl i shed i n just one n i ght. It usually requ i res many months of lateral th i nk i ng and d i gg i ng through i rrelevant l i terature w i thout any clear i dea i n s i ght. Eventually, you get a feel i ng – rather than an i dea – about what could be i nterest i ng to explore. Next, you g i ve i t a try, and normally you fa i l. Then, you may or may not try aga i n. In any case, at some moment you must dec i de (and th i s i s the most d i fficult part) whether to cont i nue further efforts or cut losses and start th i nk i ng of another exper i ment. All th i s happens aga i nst the backdrop of your ma i n research and occup i es only a small part of your t i me and bra i n.Already i n N i jmegen, I started us i ng lateral i deas as under- and post-graduate projects, and students were always exc i ted to buy a p i g i n a poke. Kostya Novoselov, who came to N i jmegen as a PhD student i n 1999, took part i n many of these projects. They never lasted for more than a few months, i n order not to jeopard i se a thes i s or career progress i on. Although the enthus i asm i nev i tably van i shed towards the end, when the pred i ctable fa i lures mater i al i sed, some students later confided that those exploratory detours were i nvaluable exper i ences.Most surpr i s i ngly, fa i lures somet i mes fa i led to mater i al i se. Gecko tape i s one such example. Acc i dentally or not, I read a paper descr i b i ng the mechan i sm beh i nd the amaz i ng cl i mb i ng ab i l i ty of geckos [12]. The phys i cs i s rather stra i ghtforward. Gecko’s toes are covered w i th t i ny ha i rs. Each ha i r attaches to the oppos i te surface w i th a m i nute van der Waals force (i n the nN range), but b i ll i ons of ha i rs work together to create a form i dable attract i on suffic i ent to keep geckos attached to any surface, even a glass ce i l i ng. In part i cular, my attent i on was attracted by the spat i al scale of the i r ha i rs. They were subm i cron i n d i ameter, the standard s i ze i n research on mesoscop i c phys i cs. After toy i ng w i th the i dea for a year or so, Sergey Dubonos and I came up w i th procedures to make a mater i al that m i m i cked a gecko’s ha i ry feet. He fabr i cated a square cm of th i s tape, and i t exh i b i ted notable adhes i on [13]. Unfortunately, the mater i al d i d not work as well as a gecko’s feet, deter i orat i ng completely after a couple of attachments. St i ll, i t was an i mportant proof-of-concept exper i ment that i nsp i red further work i n the field. Hopefully, one day someone w i ll develop a way to repl i cate the h i erarch i cal structure of gecko’s setae and i ts self-clean i ng mechan i sm. Then gecko tape can go on sale.BETTER TO BE WRONG THAN BORINGWh i le prepar i ng for my lecture i n Stockholm, I comp i led a l i st of my Fr i day n i ght exper i ments. Only then d i d I real i se a stunn i ng fact. There were two dozen or so exper i ments over a per i od of approx i mately fifteen years and, as expected, most of them fa i led m i serably. But there were three h i ts: lev i tat i on, gecko tape and graphene. Th i s i mpl i es an extraord i nary success rate: more than 10%. Moreover, there were probably near-m i sses, too. For example, I once read a paper [14] about g i ant d i amagnet i sm i n FeGeSeAs alloys, wh i ch was i nterpreted as a s i gn of h i gh-T superconduct i v i ty. I asked Lamarches for samples and got them. Kostya and I employed ball i st i c Hall magnetometry to check for g i ant d i amagnet i sm but found noth i ng, even at 1 K. Th i s happened i n 2003, well before the d i scovery of i ron pn i ct i de superconduct i v-i ty, and I st i ll wonder whether there were any small i nclus i ons of a supercon-duct i ng mater i al wh i ch we m i ssed w i th our approach. Another m i ss was an attempt to detect “heartbeats” of i nd i v i dual l i v i ng cells. The i dea was to use 2DEG Hall crosses as ultrasens i t i ve electrometers to detect electr i cal s i gnals due to phys i olog i cal act i v i ty of i nd i v i dual cells. Even though no heartbeats were detected wh i le a cell was al i ve, our sensor recorded huge voltage sp i kes at i ts “last gasp” when the cell was treated w i th excess alcohol [15]. Now I attr i bute th i s near-m i ss to the unw i se use of yeast, a very dormant m i cro-organ i sm. Four years later, s i m i lar exper i ments were done us i ng embryon i c heart cells and – what a surpr i se – graphene sensors, and they were successful i n detect i ng such b i oelectr i cal act i v i ty [16].Frankly, I do not bel i eve that the above success rate can be expla i ned by my lateral i deas be i ng part i cularly good. More l i kely, th i s tells us that pok i ng i n new d i rect i ons, even randomly, i s more reward i ng than i s generally perce i ved. We are probably d i gg i ng too deep w i th i n establ i shed areas, leav i ng plenty of unexplored stuff under the surface, just one poke away. When one dares to try, rewards are not guaranteed, but at least i t i s an adventure.THE MANCUNIAN WAYBy 2000, w i th mesoscop i c superconduct i v i ty, d i amagnet i c lev i tat i on and four Nature papers under my belt, I was well placed to apply for a full professorsh i p. Colleagues were rather surpr i sed when I chose the Un i vers i ty of Manchester, decl i n i ng a number of seem i ngly more prest i g i ous offers. The reason was s i mple.M i ke Moore, cha i rman of the search comm i ttee, knew my w i fe Ir i na when she was a very successful postdoc i n Br i stol rather than my co-author and a part-t i me teach i ng lab techn i c i an i n N i jmegen. He suggested that Ir i na could apply for the lecturesh i p that was there to support the professorsh i p. After s i x years i n the Netherlands, the i dea that a husband and w i fe could offic i ally work together had not even crossed my m i nd. Th i s was the dec i s i ve factor. We apprec i ated not only the poss i b i l i ty of sort i ng out our dual career problems but also felttouched that our future colleagues cared. We have never regretted the move.So i n early 2001, I took charge of several d i lap i dated rooms stor i ng anc i ent equ i pment of no value, and a start-up grant of £100K. There were no central fac i l i t i es that I could explo i t, except for a hel i um l i quefier. No problem. I followed the same rout i ne as i n N i jmegen, comb i n i ng help from other places, espec i ally Sergey Dubonos. The lab started shap i ng up surpr i s i ngly qu i ckly. W i th i n half a year, I rece i ved my first grant of £500K, wh i ch allowed us to acqu i re essent i al equ i pment. Desp i te be i ng consumed w i th our one year old daughter, Ir i na also got her start i ng grant a few months later. We i nv i ted Kostya to jo i n us as a research fellow (he cont i nued to be offic i ally reg i stered i n N i jmegen as a PhD student unt i l 2004 when he defended h i s thes i s there). And our group started generat i ng results that led to more grants that i n turn led to more results.By 2003 we publ i shed several good-qual i ty papers i nclud i ng Nature, Nature Mater i als and Phys. Rev. Letters, and we cont i nued beefing up the labora-tory w i th new equ i pment. Moreover, thanks to a grant of £1.4M (research i nfrastructure fund i ng scheme masterm i nded by the then sc i ence m i n i ster Dav i d Sa i nsbury), Ern i e H i ll from the Department of Computer Sc i ences and I managed to set up the Manchester Centre for Mesosc i ence and Nanotechnology. Instead of pour i ng the w i ndfall money i nto br i cks-and-mortar, we ut i l i sed the ex i st i ng clean room areas (~250 m2) i n Computer Sc i ences. Those rooms conta i ned obsolete equ i pment, and i t was thrown away and replaced w i th state-of-the-art m i crofabr i cat i on fac i l i t i es, i nclud i ng a new electron-beam l i thography system. The fact that Ern i e and I are most proud of i s that many groups around the world have more expens i ve fac i l i t i es but our Centre has cont i nuously, s i nce 2003, been produc i ng new structures and dev i ces. We do not have a posh horse here that i s for show, but rather a draft horse that has been work i ng really hard.Whenever I descr i be th i s exper i ence to my colleagues abroad, they find i t d i fficult to bel i eve that i t i s poss i ble to establ i sh a fully funct i onal labora-tory and a m i crofabr i cat i on fac i l i ty i n less than three years and w i thout an astronom i cal start-up grant. If not for my own exper i ence, I would not bel i eve i t e i ther. Th i ngs progressed unbel i evably qu i ckly. The Un i vers i ty was support i ve, but my greatest thanks are reserved spec ifically for the respons i ve mode of the UK Eng i neer i ng and Phys i cal Sc i ences Research Counc i l (EPSRC). The fund i ng system i s democrat i c and non-xenophob i c. Your pos i t i on i n an academ i c h i erarchy or an old-boys network counts for l i ttle. Also, ‘v i s i onary i deas’ and grand prom i ses to ‘address soc i al and econom i c needs’ play l i ttle role when i t comes to the peer rev i ew. In truth, the respons i ve mode d i str i butes i ts money on the bas i s of a recent track record, whatever that means i n d i fferent subjects, and the fund i ng normally goes to researchers who work both effic i ently and hard. Of course, no system i s perfect, and one can always hope for a better one. However, paraphras i ng W i nston Church i ll, the UK has the worst research fund i ng system, except for all the others that I am aware of.THREE LITTLE CLOUDSAs our laboratory and Nanotech Centre were shap i ng up, I got some spare t i me for th i nk i ng of new research detours. Gecko tape and the fa i led attempts w i th yeast and quas i-pn i ct i des took place dur i ng that t i me. Also, Serge Morozov, a sen i or fellow from Chernogolovka, who later became a regular v i s i-tor and i nvaluable collaborator, wasted h i s first two v i s i ts on study i ng magnet i c water. In the autumn of 2002, our first Manchester PhD student, Da J i ang, arr i ved, and I needed to i nvent a PhD project for h i m. It was clear that for the first few months he needed to spend h i s t i me learn i ng Engl i sh and gett i ng acqua i nted w i th the lab. Accord i ngly, as a starter, I suggested to h i m a new lateral exper i ment. It was to make films of graph i te ‘as th i n as poss i ble’ and, i f successful, I prom i sed we would then study the i r ‘mesoscop i c’ propert i es. Recently, try i ng to analyse how th i s i dea emerged, I recalled three badly shaped thought clouds.One cloud was a concept of ‘metall i c electron i cs’. If an external electr i c field i s appl i ed to a metal, the number of charge carr i ers near i ts surface changes, so that one may expect that i ts surface propert i es change, too. Th i s i s how modern sem i conductor electron i cs works. Why not use a metal i nstead of s i l i con? As an undergraduate student, I wanted to use electr i c field effect (EFE) and X-ray analys i s to i nduce and detect changes i n the latt i ce constant. It was naïve because s i mple est i mates show that the effect would be negl i g i ble. Indeed, no d i electr i c allows fields much h i gher than 1V/nm, wh i ch translates i nto max i mum changes i n charge carr i er concentrat i on n at the metal surface of about 1014 per cm2. In compar i son, a typ i cal metal (e.g., Au) conta i ns ~1023 electrons per cm3 and, even for a 1 nm th i ck film, th i s y i elds relat i ve changes i n n and conduct i v i ty of ~1%, leav i ng as i de much smaller changes i n the latt i ce constant.Prev i ously, many researchers asp i red to detect the field effect i n metals. The first ment i on i s as far back as 1902, shortly after the d i scovery of the electron. J. J. Thomson (1906 Nobel Pr i ze i n Phys i cs) suggested to Charles Mott, the father of Nev i ll Mott (1977 Nobel Pr i ze i n Phys i cs), to look for the EFE i n a th i n metal film, but noth i ng was found [17]. The first attempt to measure the EFE i n a metal was recorded i n sc i ent ific l i terature i n 1906 [18]. Instead of a normal metal, one could also th i nk of sem i metals such as b i smuth, graph i te or ant i mony wh i ch have a lot fewer carr i ers. Over the last century, many researchers used B i films (n ~1018 cm–3) but observed only small changes i n the i r conduct i v i ty [19,20]. Aware of th i s research area and w i th exper i ence i n GaAlAs heterostructures, I was cont i nuously, albe i t casually, look i ng for other cand i dates, espec i ally ultra-th i n films of superconductors i n wh i ch the field effect can be ampl ified i n prox i m i ty to the superconduct i ng trans i t i on [21,22]. In N i jmegen, my enthus i asm was once sparked by learn i ng about nm-th i ck Al films grown by MBE on top of GaAlAs heterostructures but, after est i mat i ng poss i ble effects, I dec i ded that the chances of success were so poor i t was not worth try i ng.Carbon nanotubes were the second cloud hang i ng around i n the late。
回弹效应英语You are correct, I am ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 architecture. I will do my best to write a high-quality 700-word article on the topic of the rebound effect in English, following your instructions.The Rebound Effect: Exploring the Paradox of Efficiency。
Efficiency is often touted as the holy grail of modern society, a panacea for the world's problems. We strive to optimize our processes, streamline our operations, and squeeze every last drop of productivity out of our resources. However, the pursuit of efficiency can sometimes lead to unintended consequences, a phenomenon known as the rebound effect.The rebound effect, also known as the Jevons paradox, is a concept that challenges the assumption that increased efficiency automatically leads to reduced resource consumption. In fact, the opposite can often be true. As efficiency improvements lower the cost or increase the availability of a resource, the demand for that resource may actually increase, offsetting or even negating the expected savings.This counterintuitive effect was first observed by the English economist William Stanley Jevons in the 19th century. Jevons noted that as the efficiency of coal-fired steam engines improved, the overall consumption of coal increased, rather than decreased as one might have expected. This was because the improved efficiency made coal-powered technologies more accessible and affordable, leading to a surge in their adoption and usage.The rebound effect can manifest in various forms, from direct rebound effects, where the increased efficiency of a specific product or service leads to increased consumption of that product or service, to indirect rebound effects, where the savings from one area are redirected to increased consumption in other areas.For example, consider the case of fuel-efficient vehicles. When cars become more fuel-efficient, the cost of driving per mile decreases, potentially leading to an increase inthe number of miles driven, as the perceived cost of driving is lower. This direct rebound effect can partially or even fully offset the expected fuel savings from the improved efficiency.Similarly, the indirect rebound effect can come into play when the money saved from fuel-efficient vehicles is used to purchase other goods or services, which in turn consume resources and generate emissions, negating the initial environmental benefits.The rebound effect is not limited to the realm of energy and resource consumption. It can also be observed in other areas, such as the adoption of more energy-efficient appliances or the implementation of water-saving technologies. In each case, the increased efficiency can lead to a surge in demand, undermining the intended environmental or resource-saving goals.Recognizing and addressing the rebound effect is crucial for policymakers, businesses, and individuals who seek to achieve meaningful and lasting sustainability. Simply improving efficiency is not enough; we must also consider the broader systemic implications and find ways to mitigate the rebound effect.One approach is to couple efficiency improvements with other policy measures, such as pricing mechanisms, regulations, or behavioral interventions, to ensure that the gains from efficiency are not entirely offset by increased consumption. For example, a carbon tax or cap-and-trade system can help maintain the incentive for efficiency while also discouraging excessive consumption.Additionally, a shift in mindset from a focus on efficiency to a focus on sufficiency, where the emphasis is on meeting our needs with the least possible resource use, can help address the rebound effect. This may involve rethinking our consumption patterns, embracing more sustainable lifestyles, and finding ways to satisfy our needs without relying solely on technological solutions.In conclusion, the rebound effect serves as a cautionary tale, reminding us that the pursuit of efficiency alone is not a panacea for addressing environmental and resource challenges. By understanding and addressing the rebound effect, we can strive for a moreholistic and effective approach to sustainability, one that recognizes the complex interplay between efficiency, consumption, and the broader systems in which we operate.。
In the modern world,where the hustle and bustle of life often leaves little room for solitude,there are those who find solace and joy in the embrace of loneliness.This essay explores the reasons why some individuals relish the quiet moments of being alone and the benefits they derive from it.The Appeal of Solitude1.Introspection and SelfDiscovery:For many,solitude is a time for deep reflection.It allows individuals to delve into their thoughts,evaluate their life choices,and understand their true desires.This introspection can lead to personal growth and a clearer sense of self.2.Creativity and Inspiration:Solitude can be a fertile ground for creativity.Many artists, writers,and musicians find that being alone allows them to tap into their imagination and produce their best work.The absence of distractions can lead to a heightened state of focus and inspiration.3.Recharging and Relaxation:In a society that often demands constant interaction, solitude provides a muchneeded break.Its an opportunity to recharge ones mental and emotional batteries,to relax and rejuvenate without the pressure of social expectations.4.Freedom and Autonomy:Being alone means not having to conform to the expectations or desires of others.It offers a sense of freedom,allowing individuals to make decisions based solely on their own preferences and to pursue their interests without judgment.The Benefits of Enjoying Loneliness1.Improved Mental Health:Solitude can be therapeutic,helping to reduce stress and anxiety.It provides a safe space for individuals to process their emotions and develop coping mechanisms for dealing with lifes challenges.2.Enhanced Productivity:Without the interruptions that come with social interactions, individuals can be more productive when they are alone.They can focus on tasks without distraction,leading to better results and a sense of accomplishment.3.Strengthened Relationships:Paradoxically,enjoying time alone can actually strengthen relationships.It allows individuals to develop a strong sense of self,which can lead to healthier,more balanced interactions with others.4.Increased SelfReliance:Solitude fosters selfreliance and independence.It teachesindividuals to rely on their own resources and to find satisfaction in their own company, which can be empowering and liberating.ConclusionWhile the concept of enjoying loneliness may seem counterintuitive in a world that often equates happiness with social engagement,it is a testament to the diverse ways in which individuals find contentment.For some,the quiet moments of solitude are not just a respite from the world but a source of joy and fulfillment.It is a reminder that happiness can be found in the most unexpected places,and that sometimes,the company of ones own thoughts can be the most enriching of all.。
澄清你的需求英语作文Title: Clarifying Your Requirements。
In the process of communicating your needs, clarity is paramount. Whether you're outlining project specifications, articulating expectations, or detailing instructions, precision in language ensures mutual understanding and effective execution. Crafting a comprehensive explanation not only fosters clear communication but also minimizes the potential for misunderstandings or errors. Here, we delve into strategies for enhancing clarity in expressing your requirements.Firstly, it's essential to delineate the core objectives. Clearly stating what you aim to achieve provides a foundational framework for subsequent discussions. Whether it's a business proposal, academic assignment, or personal endeavor, articulating the primary goals sets the direction for all involved parties. For instance, if you're commissioning a marketing campaign,specifying targets such as increased brand awareness, customer engagement, or sales conversion clarifies the overarching purpose.Moreover, specificity breeds understanding. Instead of vague assertions, precise descriptions elucidate thedesired outcomes. Whether it pertains to technical specifications, project milestones, or performance metrics, providing granular details leaves little room for ambiguity. For example, instead of requesting "high-quality content," delineate criteria such as word count, tone, style, and key messaging points to convey your expectations effectively.Furthermore, establishing clear parameters is imperative. Defining constraints regarding budget, timeline, resources, and scope delineates the boundaries within which the project operates. Explicitly outlining limitations prevents scope creep, budget overruns, or timeline extensions. For instance, specifying a deadline ensures timely delivery, while delineating budgetary constraints informs decision-making regarding resource allocation.Additionally, fostering open dialogue cultivates a shared understanding. Encouraging questions, seeking feedback, and addressing concerns promote collaborative engagement. Effective communication is not a one-way street but a reciprocal exchange where both parties contribute insights and perspectives. By soliciting input and actively listening to stakeholders, you gain valuable insights that refine and enrich your requirements.Furthermore, leveraging visual aids enhances comprehension. Whether it's flowcharts, diagrams, wireframes, or prototypes, visual representations elucidate complex concepts and facilitate alignment. Visual aids transcend language barriers and cater to diverse learning styles, fostering a deeper understanding of the requirements. Integrating visual elements into your communication arsenal enhances clarity and fosters consensus among stakeholders.Moreover, documenting requirements formalizes agreements and mitigates disputes. Transcribing discussions, decisions, and action items into written form provides areference point for all parties involved. Detailed documentation serves as a roadmap guiding the project from conception to completion. Additionally, it serves as a safeguard against misunderstandings or discrepancies, ensuring alignment with the agreed-upon objectives.Lastly, embracing adaptability acknowledges the fluid nature of requirements. Recognizing that circumstances may evolve necessitates flexibility in approach. While clarity is essential, rigid adherence to initial specifications may impede progress or overlook emerging opportunities. Embracing agility enables you to pivot in response to changing dynamics, ensuring that your requirements remain relevant and responsive to evolving needs.In conclusion, clarity in expressing your requirements is fundamental to effective communication and successful outcomes. By delineating objectives, providing specificity, establishing parameters, fostering dialogue, leveraging visual aids, documenting agreements, and embracing adaptability, you enhance understanding and alignment among stakeholders. Clear requirements serve as the cornerstoneof collaborative endeavors, guiding projects towards fruition and fostering mutual satisfaction.。
具体技术-restart⽂献阅读EvaluatingCDCLRestartSchemes Evaluating CDCL Restart SchemesPublished: March 15, 2019and本⽂可以看做是对之前重启策略的⼀个回顾、确认及展望。
AbstractModern CDCL (conflict-driven clause learning) SAT solvers are used for many practical applications. One of thekey ingredients of state-of-the-art CDCL solvers are efficient restart schemes. The main contribution of this workis an extensive empirical evaluation of various restart strategies.译⽂:对各种重启策略进⾏⼴泛的实证评估。
We show that optimal static restart intervals are not only correlated with the satisfiability status of a certaininstance, but also with the more specific problem class of the given benchmark. We further compare uniformrestart intervals with the performance of non-uniform restart schemes, such as Luby restarts. Finally, we revisitthe dynamic restart strategy used in Glucose and propose a new variant thereof, which is based on the conceptof exponential moving averages. The resulting implementation in Lingeling improves state-of-the-artperformance in SAT solving.ConclusionIn this paper, we provided an extensive empirical evaluation of difffferent restart strategies in the context ofmodern CDCL solvers.We fifirst looked at static restart schemes.Our results show that, for uniform restart policies, the optimal interval size not only depends on thesatisfifiability status of a given instance, but also on the specifific problem class. In particular, oursolver version static-256 was the best performing one, regarding intervals with fifixed size.Comparing those results with non-uniform restart schemes, it turned out that previously most successfulstrategies, such as Luby restarts, did not give an additional benefifit in combination with the current state-of-the-art solver Lingeling on recent competition benchmarks. Our best non-uniform version, luby-02, solvedexactly as many instances as the best uniform one. Interestingly, the equally well-known inner/outerscheme actually performed worse. This emphasizes the need for occasional re-evaluation of well-knowntechniques in consideration of the steady changes made in modern CDCL solvers due to the ongoingdevelopment.In a second part, we revisited the Glucose restart scheme, being the currently most successful dynamicstrategy.Since solvers that used Glucose restarts were able to solve a substantial number of instances in the SATcompetition 2014 that Lingeling version sc14ayv was not able to solve, we implemented a similar strategyin our new version average. Our experimental results show, that this version of Lingeling signifificantlyoutperforms all versions with static restart schemes, as well as the SAT competition version of Glucose.We also gave a formalization of the Glucose restart strategy in the context of moving averages, widely usedin statistics. We argued that the original implementation of Glucose restarts is actually a combination ofsimple moving averages with cumulative moving averages. We then proposed to use exponential movingaverages, because of several desirable properties. In particular, exponential moving averages do notrequire the implementation of a queue and, more important, gradually smooth the inflfluence of earliervalues. 译⽂:指数移动平均不需要队列的实现,更重要的是,逐渐平滑早期值的影响。
**A String Quartet Performance**In the realm of musical experiences, a string quartet performance stands as an intimate and profound encounter that touches the very core of our souls.The prelude to a string quartet performance is an atmosphere steeped in hushed anticipation. The concert venue, often small and intimate, awaits the arrival of four masterful musicians and the delicate strains of their instruments. As the audience settles in, a sense of quiet reverence pervades the space.The opening notes of the quartet rise like a gentle breeze, weaving a sonic tapestry that instantly captivates. The initial moments are a delicate invitation into a world of refined beauty and emotional depth.The middle of the performance is a symphony of harmony and conversation among the strings. The violins soar with lyricism, the viola adds a rich and soulful undertone, and the cello grounds the ensemble with its resonant warmth. I recall a particular performance where the quartet played Beethoven's String Quartet No. 14. The way the instruments intertwined and responded to each other, creating a complex web of emotions and musical ideas, was truly transcendent.One of the most enchanting aspects of a string quartet performance is the intense communication and connection among the musicians. Their eyes meet, their breathing synchronizes, and every gesture and nuance conveys a shared understanding and passion for the music. It is a display of unity and collaboration at its finest.String quartet music has a rich history that spans centuries, carrying within it the voices of countless composers and the stories of human experience.As Arthur Schopenhauer said, "Music is the language of the spirit. It opens the secret of life bringing peace, abolishing strife." A string quartet performance embodies this wisdom, offering a refuge from the chaos of the world and a connection to something greater than ourselves.In conclusion, a string quartet performance is not just a musical event; it is a journey of the heart and mind, a communion of spirits through the language of strings.It is a moment where time stands still, and we are transported to a realm of pure beauty and emotion. The magic of a string quartet performance lies in its ability to touch the innermost recesses of our being and leave an indelible mark on our souls.。
Winter 2006Experiment C4 Chemistry 114HRelaxation KineticsTHEORYWhen a chemical reaction system, in a state of equilibrium, is subjected to a perturbation, it will relax to a new equilibrium position. For kinetic measurements, the perturbation (such as a change in temperature, or pressure, or concentration, etc.) should be accomplished in a time interval which is very small compared to the time scale of the relaxation process. If the new equilibrium position is not far from the initial state, then the kinetics will approximate to first order:dx /dt =!kx (1)where x is the displacement with respect to the final equilibrium, t is the time, and k the rate constant. For example, if the concentration of a reactant (or product) is measured as a function of time, then x = | C(t) - C(∞) | > 0 (2)where C(t) is the concentration at time t and C(∞) is the concentration at equilibrium.The relaxation time is defined asτ = 1/k. (3) Integration of equation (1) gives:ln x = ln x o - t/τ (4) Here x o = | C(0) - C(∞) | > 0(5) A plot of ln x vs t gives: τ = - 1/slope (6)In general, provided the perturbation is sufficiently small and fast , any property, Y, of the system which varies with time may be used. The displacement from equilibrium is then given byx =Y t ()!Y "()>0 (7)Temperature jump and relaxation kinetics were used by Eigen and de Maeyer (1955) to measure the forward rate constant of the reaction [M. Eigen and L. de Maeyer (1955) A. Elektrochem. 59, 986] H 3O ++OH !"H 2O +H 2O k f=1.4x 1011M !1s !1at 25o C Relaxation kinetics following a concentration jump was applied by Swinehart and Castellan (1964) to the slow bichromate-dichromate reaction at 22˚C (τ of the order of 10 s):HCrO 4!"K a H ++CrO 42! (Rx. 1) 2HCrO 4!"k r k fCr 2O 72!+H 2O (Rx. 2) The acid dissociation equilibrium (Rx. 1) is very fast compared to the forward and reverse rates of the dimerization (Rx. 2). [J. H. Swinehart and G. W. Castellen (1964) Inorg. Chem. 3, 278-280; J. H. Swinehart (1967) J. Chem Educ. 44, 524-526]Experiment C4Chemistry 114H -2- Pertinent equations for this experiment are summarized below:K a = f([H +] [CrO 42-] [HCrO 4-]) = 7.4 ∗ 10−7 M (8)Dimerization constant: K d = [Cr 2O 72-] / [HCrO 4-]2 = k f /{k r [H 2O] = 50 M -1 (9)Relaxation time: 1/τ = 4k f [HCrO 4-] + k r [H 2O](10) Calculate the equilibrium [HCrO 4-] as a function of the total chromium concentration, the dimerization and dissociation constants, and the pH (or [H +]) (Hint : write down the conservation of mass for chromium and combine this equation with the two equilibrium constants; you will arrive at a quadratic equation on [HCrO 4-])EXPERIMENTAL PROCEDUREPrepare 50 ml of solution B and the necessary amount of 0.1 M KNO 3Solution A:0.01 M K 2Cr 2O 7 (= 0.02 M in Cr) in 0.1 M KNO 3 Solution B: 0.2 M K 2Cr 2O 7 (= 0.4 M in Cr) in 0.1 M KNO 3Place 50 ml of solution A in a beaker equipped with magnetic stirring and adjust to pH 7 with NaOH. Inject solution B using a syringe while stirring. The pH varies with time as the reaction proceeds.Repeat last step for at least 5 different volumes of solution B between 0 and 1 ml; and repeat each volume 3 timesTo calibrate the pH meter follow the instructions on the computer desktop. Remember to input the calibration constant and the potential measured at pH=7 in the LabView program. The voltmeter should be in the mV scale.RESULTSPlot:ln x vs t, slope = -1/τ Plot:1/τ vs [HCrO 4-], slope = 1/k f , intercept = k r [H 2O] Compute: K d = k f /{k r [H 2O]}You will probably note that the computed K d does not entirely agree with that assumed in Eq.(9) and used to calculate [HCrO 4-]. Does it lie within the estimated error limits? Would it be worthwhile to repeat the calculations with a different K d ?What about the variation of [HCrO 4-] during the run - before equilibrium is reached? Calculate the % change in total Cr concentration for every experiment.What is the advantage of starting the reaction at ph=7?。
Relaxation TechniquesIn our fast-paced world, it's easy to get bogged down by stress and anxiety. Whether it's work-related pressure or personal issues, stress can have a significant impact on our mental and physical health. That's why it's essential to incorporate relaxation techniques into our daily routine.One of the most effective relaxation techniques is deep breathing. Slow, deep breaths can help calm the mind and reduce stress levels. To practice deep breathing, sit comfortably with your back straight, close your eyes, and focus on your breath. Take slow, deep breaths in through your nose, hold for a few seconds, and then exhale slowly through your mouth. Repeat this exercise for a few minutes each day.Another useful technique to reduce stress is progressive muscle relaxation. This technique involves tensing and relaxing each muscle group in your body, starting from your toes and working up to your head. By tensing and relaxing your muscles, you can release tension and reduce stress.Meditation is another popular relaxation technique that has been practiced for centuries. Meditation involves focusing your attention on a specific object, thought, or activity, such as your breath or a mantra. The goal of meditation is to achieve a sense of calm and relaxation while reducing stress and anxiety.Yoga is another excellent way to relax and reduce stress. Practicing yoga has been shown to have numerous health benefits, including reducing stress, improving flexibility, and increasing strength. Yoga involves a series of poses and breathing exercises that help to calm the mind and reduce tension in the body.Visualization is another powerful relaxation technique that involves creating a mental image of a peaceful and relaxing scene. Close your eyes and imagine a place where you feel calm and relaxed, such as a beach or a peaceful forest. Focus on the details of this scene and allow your mind to become fully immersed in it.In conclusion, incorporating relaxation techniques into your daily routine can help to reduce stress and anxiety while improving overall health and well-being. Experiment with different techniques to find the ones that work best for you, and make relaxation a priority in your life. With consistent practice, you'll be able to live a more relaxed and peaceful life.。
Staying True to Our Initial Aspirations In a world that is constantly changing and presenting us with new challenges and distractions,staying true to our initial aspirations becomes an act of courage and determination. Our"initial aspirations"refer to those pure and deeply personal goals and values we set for ourselves before being influenced by external factors such as societal expectations,peer pressure, or financial incentives.These aspirations are the essence of who we are and what we genuinely want to achieve in life.This essay explores the importance of maintaining our initial aspirations and provides suggestions on how to do so.The Importance of Initial AspirationsInitial aspirations are crucial because they represent our true selves and our authentic desires.They are not tainted by the world's complexity or by what others expect of us.These aspirations might range from ambitions for career success,aspirations to help others,or desires to pursue a passion.Regardless of their nature,these initial aspirations give us direction and purpose,acting as a compass that guides our decisions and actions.However,as we navigate through life,it's easy to lose sight of these aspirations.We might be tempted to conform to what seems practical or to follow paths that promise immediate rewards. This deviation not only leads us away from achieving our true goals but can also result in a sense of dissatisfaction and regret.Strategies for Staying True to Initial AspirationsReflection and Reevaluation:Regularly take time to reflect on your goals and aspirations.Ask yourself whether your current path aligns with those initial aspirations.Reevaluation allows you to make necessary adjustments to your course and reaffirms your commitment to your goals.Set Clear and Measurable Goals:Break down your aspirations into clear and achievable goals.Having concrete steps makes it easier to track your progress and stay motivated.Seek Support and Guidance:Surround yourself with people who understand and support your aspirations.Mentors and like-minded peers can provide valuable advice,encouragement, and inspiration.Resilience in the Face of Challenges:Challenges and setbacks are inevitable.It's essential to develop resilience and view obstacles as opportunities for growth rather than reasons to abandon your aspirations.Prioritize Your Values:Always prioritize actions and decisions that align with your core values. Staying true to your values ensures that your path reflects your true self.ConclusionStaying true to our initial aspirations requires constant effort,self-awareness,and the courage to make choices that align with our true desires and values.By maintaining our focus on what genuinely matters to us,we can lead fulfilling lives that are true to ourselves and inspire others to do the same.Let us remember that in the journey of life,staying true to our initial aspirations is not just about achieving goals,but about preserving the essence of who we are.。
Unit 5Learning from nature基础知识过关Ⅰ.阅读单词1.mound n.____________2.pine cone ____________3.mimic v. ____________4.waterfront n. ____________5.dioxide n. ____________6.frontier n. ____________7.radar n. ____________8.swimsuit n. ____________9.dragonfly n. ____________10.drone n. ____________11.spider n. ____________12.superficially ad v. ____________13.decent adj. ____________14.deliberately ad v. ____________15.domestic adj. ____________16.reluctant adj. ____________17.lane n. ____________18.resign v. ____________Ⅱ.核心单词1.________ adj. 极好的,出色的2.________ n. 池塘3.________ v. 播(种)4.________ n. 蝙蝠5.________ n. 医生6.________ v. 鞠躬7.________ adj. 农村的,乡村的8.________ n. 乡村小屋9.________ v. 得到,获得Ⅲ.拓展单词1.architect n.建筑师→________ n.建筑学,建筑设计2.plumbing n.管道系统→________ n.管子工,水暖工3.convert v.使转变;使转换→________ n.转变,转化4.wisdom n.智慧→________ adj.有智慧的,高明的5.employ v.使用,运用→________ n.老板,雇主→________ n.员工→________ n.雇用;工作;就业6.withdraw v.退出→________ n.收回;撤退7.depressive adj.抑郁的→________ v.使抑郁→________ adj.沮丧的→________ n.抑郁症8.depart v.离开→________ n.离开9.purity n.纯洁;洁净→________ adj.纯洁的,纯净的→________ v.使纯净,净化10.botanical adj.植物(学)的→________ n.植物11.reject v.拒绝接受→________ n.拒绝12.ease n.舒适,悠闲→________ adj.容易的13.fulfilment n.满足(感)→________ v.满足;实现14.evaluate v.评估,评价→________ n.评估Ⅳ.重点短语1.____________认为……理所当然2.____________ 供给;供应;用(某物)满足……3.____________ (使)……转变为4.____________ 回应,响应5.____________ 与……协调一致;与……和谐相处6.____________ 满足……的需要7.____________ 寻求解决办法8.____________ 从……中获取灵感9.____________ 发生;产生10.____________ 开始存在11.____________ 被认为有(良好的品质或特点)12.____________ 作为回报13.____________ 反对14.____________ 集中于,聚焦于15.____________ 与……形成对比16.____________ 与……相处得自在Ⅴ.经典句式1.The building was designed to show the connection between nature and the modern city environment ______________.这座建筑的设计是为了展示自然和它所处的现代城市环境之间的联系。
减压的方法英语作文Title: Techniques for Stress Relief。
In our fast-paced modern world, stress has become an inevitable part of life. However, managing stress is essential for maintaining both physical and mental well-being. Fortunately, there are various effective techniques for stress relief that individuals can incorporate into their daily lives. In this essay, we will explore some of these methods.Firstly, one effective method for reducing stress is practicing mindfulness meditation. Mindfulness meditation involves focusing one's attention on the present moment, observing thoughts and feelings without judgment. Research has shown that regular mindfulness meditation can reduce stress levels by promoting relaxation and fostering a sense of calmness. By incorporating mindfulness meditation into your daily routine, you can train your mind to better cope with stressful situations.Another technique for stress relief is engaging in regular physical exercise. Exercise has been proven to be an effective stress reliever due to its ability to release endorphins, which are chemicals in the brain that act as natural painkillers and mood elevators. Whether it's going for a run, practicing yoga, or participating in a team sport, finding a form of exercise that you enjoy can significantly reduce stress levels and improve overallwell-being.Furthermore, maintaining a healthy lifestyle can help alleviate stress. This includes eating a balanced diet, getting enough sleep, and avoiding excessive consumption of caffeine and alcohol. Poor nutrition and lack of sleep can exacerbate stress levels and negatively impact both physical and mental health. By prioritizing self-care and adopting healthy habits, you can better equip your body and mind to handle stressors effectively.In addition to these lifestyle changes, seeking social support can also be beneficial for managing stress. Talkingto friends, family members, or a therapist about your feelings and concerns can provide emotional support and perspective, helping to alleviate stress and promote resilience. Building strong social connections andcultivating supportive relationships can enhance yourability to cope with stressors and navigate challenging situations more effectively.Moreover, engaging in activities that bring joy and relaxation can serve as effective stress relievers. Whether it's listening to music, spending time in nature, or pursuing a hobby, finding activities that bring you happiness and fulfillment can help counteract the negative effects of stress. Making time for self-care andprioritizing activities that nourish your soul cancontribute to a greater sense of well-being and resiliencein the face of stress.In conclusion, stress is a common part of life, butit's essential to have effective strategies for managing it. By incorporating techniques such as mindfulness meditation, regular exercise, healthy lifestyle habits, social support,and engaging in enjoyable activities, individuals can effectively reduce stress levels and promote overall well-being. Remember, taking care of your mental and physical health is crucial for living a fulfilling and balanced life.。
减压方式英文作文Stress Reduction TechniquesNowadays, stress has become a common issue in our daily lives. It can affect our physical and mental well-being, making it crucial to find effective ways to reduce stress. In this essay, I will explore various stress reductiontechniques that can help individuals achieve a balanced and tranquil state of mind.1. Exercise and Physical ActivityEngaging in regular exercise and physical activities can effectively reduce stress levels. Exercise releases endorphins, which are known as "feel-good" hormones thatboost mood and reduce stress. It can be as simple as goingfor a walk or jog, practicing yoga, swimming, or even dancing. By moving our bodies, we can combat stress and release tension.2. Deep Breathing and MeditationPracticing deep breathing exercises and meditation techniques is another effective approach to reduce stress. By focusing on our breath and taking slow, deep breaths, we can activate the body's relaxation response. Meditation helps in calming the mind, promoting self-awareness, and reducing anxiety. It can be as short as five minutes a day, providing an opportunity for introspection and mental rejuvenation.3. Time ManagementEffective time management techniques can significantly reduce stress levels. Poor time management often leads to feelings of being overwhelmed and stressed. By creating a schedule, setting priorities, and breaking down tasks into manageable chunks, individuals can better allocate time and achieve a sense of control over their responsibilities. This approach helps to reduce stress levels associated with excessive workloads.4. Engaging in HobbiesEngaging in hobbies can serve as a great stress reliever. Pursuing activities we enjoy, such as painting, playing a musical instrument, gardening, or reading a book, helps distract our minds from stressors and promotes relaxation. Hobbies provide an escape from daily responsibilities and give us a sense of joy and accomplishment.5. Social SupportSeeking social support from friends, family, or support groups can play a vital role in stress reduction. Talking to someone about our concerns and emotions can alleviate stress by providing a fresh perspective and promoting emotionalwell-being. Sharing feelings with others helps in building connections, reducing feelings of isolation, and fostering a sense of belonging.6. AromatherapyAromatherapy involves using scents and essential oils to promote relaxation and reduce stress. Lavender, rose, chamomile, and ylang-ylang are some examples of essentialoils known for their calming properties. Whether used in diffusers, baths, or massage oils, aromatherapy can create a peaceful ambiance that contributes to stress reduction.7. Mindfulness and GratitudePracticing mindfulness and gratitude can cultivate a positive mindset and reduce stress levels. Mindfulness involves being fully present in the moment, observing thoughts and sensations without judgment. By focusing on the present, individuals can reduce anxiety about the past or future. Gratitude involves acknowledging and appreciating the positive aspects of life. By cultivating gratitude, we can shift our focus from stressors to the things we are grateful for, promoting a sense of contentment and reducing stress.In conclusion, stress reduction techniques are essential for achieving a balanced and tranquil state of mind. Engaging in exercise, practicing deep breathing and meditation, managing time effectively, pursuing hobbies, seeking social support, utilizing aromatherapy, and practicing mindfulness and gratitude are all effective approaches to reduce stress. By adopting these techniques into our daily lives, we can better manage stress and improve our overall well-being.。
a r X i v :a s t r o -p h /0610659v 1 23 O c t 20062Simon F.Portegies Zwart and Hui-Chen Chenthe initial relaxation time.We subsequently calculate the evolution of the star cluster with time.With this series of controlled numerical experiments we trace back the observed parameters for a number of young star clusters in the large Magellanic cloud along parallel trajectories in parameter space.2SimulationsWe focus on young t<∼300Myr star clusters,because excellent observational data is available for a number of these[1].For the simulations we adopt the Starlab software environment[2],which acquires it’s greatest speed with GRAPE-6special purpose hardware[3,4]1.Our simulations are performed on the GRAPE-6hardware at the University of Tokyo and the MoDeStA2 platform at the University of Amsterdam.The simulated star clusters are initialized by selecting the number of stars, stellar mass function,the density profile,binary fraction and their orbital ele-ments.For our most concentrated model(simulation#1)we adopt the initial conditions derived by Portegies Zwart et al.[5]to mimic the7-12Myr old star cluster MGG-11in the star-burst galaxy M82.In this paper,however, we extend the evolution of this simulated cluster to about100Myr[6].Sub-sequent simulations are performed with a larger cluster radius,resulting in a longer initial relaxation time(for details on the simulation models#{1..4}c with128k stars as listed in Tab.1and see[6]).The stellar evolution model adopted is based on[7],and the binaries are evolved with SeBa[8].We summarize the selection of the initial conditions for simulation#1c (see Tab.1,see also[6]):first we selected131072stars distributed in a King [9]density profile with W0=12and with masses from a Salpeter initial mass function(x=−2.35)between1M⊙and100M⊙.The total mass of the cluster is then M≃433000M⊙.The location in the cluster where the stars are born is not correlated with the stellar mass,i.e.there is no primordial mass segregation.Ten percent of the stars were randomly selected and provided with a companion(secondary)star with a mass between1M⊙and the mass of the selected(primary)star from aflat distribution.The binary parameters were selected as follows:first we chose a random binding energy between E=10kT (corresponding to a maximum separation of about1000R⊙).The maximum binding energy was selected such that the distance at pericenter exceeded four times the radius of the primary star.At the same time we select an orbital eccentricity from the thermal distribution.If the distance between the stars at pericenter is smaller than the sum of the stellar radii we select a new semi-major axis and eccentricity.If necessary,we repeat this step until the binary remains detached.As a result,binaries with short orbital periods are generally less eccentric.We ignored an external tidalfield of the Galaxy,but stars areThe Evolution of Star Clusters3 removed from the simulation if they are more than60initial half-mass radii (r hm)away from the density center of the cluster(100r hm for the12k models, see Tab.1).For the other simulations#2c,#3c and#4c,we adopt the same realization of the initial stellar masses,position and velocities(in virial N-body units[10]) but with a different size and time scaling to the stellar evolution,such that the two-body relaxation time(t rlx)for simulation#2c is four times that of #1c,for simulation#3c we used four times the two-body relaxation time of what was used for simulation#2c,etc.the initial conditions are summarized in Tab.1.We subsequently generate additional initial realizations for clusters with a smaller number of stars(12k stars for models#{1..4}a versus128k for models #{1..4}c).To study the effect of the initial density profile on the results are perform another set of simulations with12k stars but with a W0=6initial density profile rather than the highly concentrated W0=12.The simulations with N=12k are constructed without primordial binaries.Table1.Conditions for the performed calculations with a range of number of stars (1k≡1024stars)and cluster virial radii.The columns give the model name,the number of stars in the initial model,the concentration parameter(W0),the initial half-mass relaxation time(t i rlx),the initial virial radius and core radius andfinally the initial crossing time.#1a12k1273 2.270.0710.258#1b12k681 2.770.6700.352#1c128k1280 1.270.0100.032#2a12k12304 5.720.072 1.05#2b12k6310 6.98 1.93 1.010#2c128k12320 3.200.0260.129#3a12k12120014.60.151 4.17#3b12k6128017.8 4.28 4.19#3c128k1213008.10.0660.516#4a12k12499036.30.31716.6#4b12k6492044.214.916.5#4c128k12510020.00.162 2.074Simon F.Portegies Zwart and Hui-Chen ChenAfter initialization we synchronously calculate the evolution of the stars and binaries,and solve the equations of motion for the stars in the cluster. The calculations are continued to an age of about100Myr.3ResultsThe main difference between simulations are the number of stars and since we ignore the external tidalfield the number of stars drops only slightly during the simulations,but the half-mass relaxation time increasing substantially from its initial value.At the same time the cluster structure changes by becoming less concentrated.The latter is mainly attributed to mass segregation and stellar mass loss(see also[11,12,13,14,15]).In[6]we compared some of the characteristics of a subset of the here presented simulations with the observed sample of young star clusters in the LMC.Here,in this proceedings paper,we limit ourselves in comparing the currently observed two-body relaxation time and compare these with the results of our simulations.Infigure1we present the evolution of the two-body relaxation time at the half-mass radius for the simulated clusters#1{a..c}to#4{a..c}.The relax-ation time is roughly constant for thefirst∼3Myr for simulations#1{a..c}, #2{a..c},#3c and#4c,to increase at later time.For simulations#3a and #3b the half-mass relaxation time starts to increase only after about6Myr, and after about16Myr for simulation#4a and#4b.We attribute this ef-fect to the relatively slow response of the latter models,in particular#4a and#4b,to stellar mass loss.For these models mass loss is not adiabatic as is the case for simulations#1and#2,but rather impulsive(see[16]for a discussion in relation to variations in the orbital parameters of binary star clusters).The later increase in the half-mass relaxation time is mainly caused by stellar mass loss and,in a lesser extend by the internal structural changes resulting from the internal dynamical evolution.The relaxation time for the various simulation models tend to evolve in almost parallel trajectories,with small variations.We approximate the time evolution of the relaxation time with the follow-ing two equations,for the N=12k clusters we adoptedt rlx(t)= κt2/3+1 t i rlx.(1)Hereκ=1/10for the12k models andκ=1/6for the128k models.The resulting tracks are presented in Fig.2.Since the evolution of the half-mass relaxation time for each set of simu-lations with the same number of stars behaves quite similar,with an initial offset,we decided to invert Eq.1to enable an extrapolation of the initial re-laxation time for the observed clusters.The result for the21observed clusters with an age<∼300Myr is presented in Fig.3.Here we plot our estimate for the initial half-mass relaxation time(t i rlx)as a function of the measured age ofThe Evolution of Star Clusters5Fig.1.Evolution of the two-body relaxation time at the half mass radius for the four clusters#1(bottom),#2,#3and#4(top).The solid curves represent the data from models#{1..4}a,dashes give#{1..4}b and dotted curves gives the results for models#{1..4}c.Model#2a was extended to an age of1Gyr to demonstrate that the generally behavior doesn’t suddenly change drastically.the observed cluster.We ignore the cluster mass in the reconstruction of the initial relaxation times for the observed clusters.From Fig.1,however,it may be clear that the effect of the number of stars in the cluster is substantial.We therefore opted for having the N=12k models to provide an estimate of the upper limit and N=128k for providing the lower limit to our estimate of the initial relaxation time.Those lower and upper limits are presented in Fig.3 as open andfilled circles,respectively.4Discussion and conclusionsWe performed extensive simulations of the young star clusters in the large Magellanic cloud.The simulations ignore the external tidalfield,and we lim-ited the initial mass function to a Salpeter between1M⊙and100M⊙.We realize that the adopted initial mass function may not be representative for the large Magellanic cloud,and we performed several additional simulations using the initial mass function proposed by[17],which extends down to the helium burning limit.The difference with the results presented here,how-ever,are quite small,but we tend to underestimate the initial relaxation time compared to using a more realistic initial mass function.6Simon F.Portegies Zwart and Hui-Chen ChenFig.2.Approximated evolution of the two-body relaxation time at the half mass radius for the four clusters#1(bottom),#2,#3and#4(top).The solid curves represent the data from models with12k stars(Eq.1)and dotted curves gives the results for models128k stars.The bullets give an estimate for t rlx from the observed clusters[1]by adopting a mean mass of0.5M⊙and r hm=3.92r core.The half-mass relaxation time for the simulated clusters evolves on almost parallel trajectories with an initial offset based on the initially selected re-laxation time.The trends in the relaxation time is somewhat different from the smaller(in N)clusters than for the larger clusters,as is evident in Fig.1. We attribute this divergence to the difference in the the initial number of stars in these models,in particular since all other parameters were kept as much as possible identical.We note,however,that our simulation with128k stars were computed with10%primordial hard binaries,whereas the smaller simulations with12k stars were computed without primordial binaries.This difference in the initial conditions may attribute to the differences in the evo-lution of the half-mass relaxation time.To test this hypothesis we performed several additional simulations with64k stars and no initial binaries.Inter-estingly,the evolutionary tracks for the half-mass relaxation time for these models is roughly situated between the12k and the128k models.Based on these data we argue that the differences we observe between the12k and the 128k models can be attributed to the differences in the initial number of stars, and that the presence of primordial binaries has little effect.We will discuss these issues in more detail in an upcoming paper VI in the star cluster ecology series(Portegies Zwart,McMillan&Makino2006+x{with x∈I;x≥1},in preparation).The Evolution of Star Clusters7Fig.3.The initial half-mass relaxation time(t i rlx)as a function of the measured age of the observed LMC cluster.For each cluster we plot two symbols connected with a vertical line.The lower(open circle)symbol indicates extrapolation with time using Eq.1for128k whereas the upper symbols(bullet)gives the result from inverting Eq.1for12k.Based on the here presented simulations we reconstruct the initial relax-ation time for young(<∼300Myr)star clusters in the LMC with the data from[1].In Fig.4we present the cumulative distribution of initial half-mass relaxation times for the observed star clusters in the LMC.For comparison we overlaid the distribution of the present day relaxation times for the observed clusters,which ranges over more than two orders of magnitude.We conclude that the initial relaxation time for the young(<∼300Myr)star clusters in the large Magellanic cloud ranges from∼200Myr to∼2Gyr. AcknowledgmentsI am grateful to Evgenii Gaburov,Mark Gieles,Alessia Gualandris and Henny Lamers for many discussions.This work was supported by NWO(via grant #630.000.001and#643.200.503),NOVA,the KNAW,the LKBF and the following grands for the Taiwanese government under number NSC095-2917-I-008-006and NSC95-2212-M-008-006.The calculations for this work were done on the MoDeStA computer in Amsterdam,which is hosted by the SARA supercomputer center.8Simon F.Portegies Zwart and Hui-Chen ChenFig.4.Cumulative distribution of the initial half-mass relaxation time for the ob-served sample of star clusters in the LMC.The open circles represent the distribution when the initial half-mass relaxation time was reconstructed using the simulations with128k stars,thefilled circles are reconstructed using the12k simulations.The solid curve without points(to the right)gives the observed distribution of present day relaxation times for the LMC clusters from data published by[1].We only used the data for those clusters that are younger than300Myr.References1. 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