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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 高英哲(Ying-Jer Kao) | |
dc.contributor.author | Tzu-Chieh Kuo | en |
dc.contributor.author | 郭子傑 | zh_TW |
dc.date.accessioned | 2021-05-15T17:54:16Z | - |
dc.date.available | 2014-07-31 | |
dc.date.available | 2021-05-15T17:54:16Z | - |
dc.date.copyright | 2014-07-31 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-07-26 | |
dc.identifier.citation | [1] Songbo Jin, Arnab Sen, and Anders W. Sandvik. Ashkin-teller criticality and pseudofirst-order behavior in a frustrated Ising model on the square lattice. Physical Review Letters, 108(4):045702, January 2012.
[2] Songbo Jin, Arnab Sen, Wenan Guo, and Anders Sandvik. Phase transitions in the frustrated Ising model on the square lattice. Physical Review B, 87(14), April 2013. [3] A. Kalz, A. Honecker, S. Fuchs, and T. Pruschke. Phase diagram of the Ising square lattice with competing interactions. The European Physical Journal B, 65(4):533– 537, October 2008. [4] Ansgar Kalz and Andreas Honecker. Location of the Potts-critical end point in the frustrated Ising model on the square lattice. Physical Review B, 86(13), October 2012. [5] Lars Onsager. Crystal statistics. i. a two-dimensional model with an order-disorder transition. Physical Review, 65(3-4):117–149, February 1944. [6] M. P. Nightingale. Non-universality for Ising-like spin systems. Physics Letters A, 59(6):486–488, January 1977. [7] Robert H. Swendsen and Samuel Krinsky. Monte Carlo renormalization group and Ising models with n>~2. Physical Review Letters, 43(3):177–180, July 1979. [8] J. Oitmaa. The square-lattice Ising model with first and second neighbour interactions. Journal of Physics A: Mathematical and General, 14(5):1159, May 1981. [9] K. Binder and D. P. Landau. Phase diagrams and critical behavior in Ising square lattices with nearest- and next-nearest-neighbor interactions. Physical Review B, 21(5):1941–1962, March 1980. [10] D. P. Landau. Phase transitions in the Ising square lattice with next-nearest-neighbor interactions. Physical Review B, 21(3):1285–1297, February 1980. [11] Anders W. Sandvik. Computational studies of quantum spin systems. arXiv: 1101.3281 [cond-mat, physics:hep-lat], pages 135–338, 2010. arXiv: 1101.3281. [12] Kurt Binder and Dieter W. Heermann. Monte Carlo Simulation in Statistical Physics, volume 0 of Graduate Texts in Physics. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010. [13] Leo P. Kadanoff. Statistical Physics: Statics, Dynamics and Remormalization. World Scientific Pub Co Inc, Singapore ; River Edge, N.J, July 2000. [14] Cheng-Wei Liu, Anatoli Polkovnikov, and Anders W. Sandvik. Dynamic scaling at classical phase transitions approached through nonequilibrium quenching. Physical Review B, 89(5):054307, 2014. [15] Seiji Miyashita and Hiroshi Takano. Dynamical nature of the phase transition of the two-dimensional kinetic Ising model. Progress of Theoretical Physics, 73(5): 1122–1140, May 1985. [16] S. Wansleben and D. P. Landau. Dynamical critical exponent of the 3d Ising model. Journal of Applied Physics, 61(8):3968–3970, April 1987. [17] Jacek Dziarmaga. Dynamics of a quantum phase transition and relaxation to a steady state. Advances in Physics, 59(6):1063–1189, November 2010. [18] Anatoli Polkovnikov, Krishnendu Sengupta, Alessandro Silva, and Mukund Vengalattore. Colloquium: Nonequilibrium dynamics of closed interacting quantum systems. Reviews of Modern Physics, 83(3):863–883, August 2011. [19] Fan Zhong. Finite-time scaling and its applications to continuous phase transitions. Applications of Monte Carlo method in science and engineering. Intech (Online), page 469–493, 2011. [20] M. P. Nightingale and H. W. J. Blote. Monte Carlo computation of correlation times of independent relaxation modes at criticality. Physical Review B, 62(2):1089, 2000. [21] David P. Landau and Kurt Binder. A Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, September 2009. [22] Kerson Huang. Introduction to Statistical Physics. CRC Press, September 2001. [23] Helmut G. Katzgraber. Introduction to Monte Carlo methods. arXiv:0905.1629 [cond-mat, physics:physics], May 2009. arXiv: 0905.1629. [24] Junqi Yin and D. P. Landau. Phase diagram and critical behavior of the squarelattice Ising model with competing nearest-neighbor and next-nearest-neighbor interactions. Physical Review E, 80(5):051117, November 2009. [25] K. Binder. Critical properties from Monte Carlo coarse graining and renormalization. Physical Review Letters, 47(9):693–696, August 1981. [26] K. Binder and D. P. Landau. Finite-size scaling at first-order phase transitions. Physical Review B, 30(3):1477–1485, August 1984. [27] John Cardy. Scaling and Renormalization in Statistical Physics. Cambridge University Press, Cmabridge ; New York, April 1996. [28] P. Peczak, Alan M. Ferrenberg, and D. P. Landau. High-accuracy Monte Carlo study of the three-dimensional classical Heisenberg ferromagnet. Physical Review B, 43(7):6087, 1991. [29] T. W. B. Kibble. Topology of cosmic domains and strings. Journal of Physics A: Mathematical and General, 9(8):1387, August 1976. [30] W. H. Zurek. Cosmological experiments in superfluid helium. Nature, 317(6037): 505–508, October 1985. [31] Alan M. Ferrenberg and D. P. Landau. Critical behavior of the three-dimensional Ising model: A high-resolution Monte Carlo study. Physical Review B, 44(10):5081–5091, September 1991. [32] Kun Chen, Alan M. Ferrenberg, and D. P. Landau. Static critical behavior of threedimensional classical Heisenberg models: A high-resolution Monte Carlo study. Physical Review B, 48(5):3249–3256, August 1993. [33] CUDA C programming guide. [34] Tobias Preis, Peter Virnau, Wolfgang Paul, and Johannes J. Schneider. GPU accelerated Monte Carlo simulation of the 2d and 3d Ising model. Journal of Computational Physics, 228(12):4468–4477, July 2009. [35] Benjamin Block, Peter Virnau, and Tobias Preis. Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2d Ising model. Computer Physics Communications, 181(9):1549–1556, September 2010. [36] L. Schulke and B. Zheng. Dynamic approach to weak first-order phase transitions. Physical Review E, 62(5):7482, 2000. [37] V. Privman and J. Rudnick. Systems with logarithmic specific heat: finite-size scaling. Journal of Physics A: Mathematical and General, 19(18):L1215, 1986. [38] Jesus Salas and Alan D. Sokal. Logarithmic corrections and finite-size scaling in the two-dimensional 4-state Potts model. Journal of statistical physics, 88(3-4):567–615, 1997. [39] Z. Alexandrowicz. Description of critical dynamics by static geometry of clusters. Physica A: Statistical Mechanics and its Applications, 189(1–2):148–159, October 1992. [40] G. P. Zheng and J. X. Zhang. Determination of dynamical critical exponents from hysteresis scaling. Physical Review E, 58(2):R1187, 1998. [41] Mehmet Dilaver, Semra Gunduc, Meral Aydin, and Yiğit Gunduc. A new approach to dynamic finite-size scaling. International Journal of Modern Physics C, 14(07): 945–954, 2003. [42] Ibragimkhan Kamilovich Kamilov, Akai Kurbanovich Murtazaev, and Kh K. Aliev. Monte Carlo studies of phase transitions and critical phenomena. Physics-Uspekhi, 42(7):689–709, 1999. [43] S. Tang and D. P. Landau. Monte Carlo study of dynamic universality in twodimensional Potts models. Physical Review B, 36(1):567, 1987. [44] Keekwon Nam, Bongsoo Kim, and Sung Jong Lee. Nonequilibrium critical relaxation of the order parameter and energy in the two-dimensional ferromagnetic Potts model. Physical Review E, 77(5), May 2008. [45] Shuangli Fan and Fan Zhong. Determination of the dynamic and static critical exponents of the two-dimensional three-state Potts model using linearly varying temperature. Physical Review E, 76(4), October 2007. [46] Xianzhi Huang, Shurong Gong, Fan Zhong, and Shuangli Fan. Finite-time scaling via linear driving: Application to the two-dimensional Potts model. Physical Review E, 81(4), April 2010. [47] N. Zhou, B. Zheng, and J. Dai. Dynamic approach to finite-temperature magnetic phase transitions in the extended J1−J2 model with vacancy order. Physical Review E, 87(2), February 2013. [48] Christian Borgs and Roman Koteckỳ. A rigorous theory of finite-size scaling at first-order phase transitions. Journal of statistical physics, 61(1-2):79–119, 1990. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5245 | - |
dc.description.abstract | 於圖形處理單元(GPU) 環境中使用平行演算法及蒙地卡羅演算法模擬了二維方格易辛模型並考慮次近鄰之交互作用,其中最近鄰(J1) 與次近鄰(J2) 之交互作用皆為反鐵磁性且互為競爭關係,本篇展現了如何計算出臨界指數與交互作用比例(J2/J1) 之關係,及利用Metropolis演算法模擬非平衡淬火至臨界溫度並計算出動力學指數。 | zh_TW |
dc.description.abstract | We perform the Monte Carlo simulations of the J1 −J2 (frustrated) Ising model on a square lattice with competing coupling J1 > 0 (nearest-neighbor, anti-ferromagnetic) and J2 > 0 (next-nearest neighbor, also anti-ferromagnetic) using the graphic processing unit (GPU). In this thesis, we present the critical exponents evolution as one tunes J2/J1 and the extraction of the dynamical exponent using non-equilibrium quenching with Metropolis algorithm to the critical point. | en |
dc.description.provenance | Made available in DSpace on 2021-05-15T17:54:16Z (GMT). No. of bitstreams: 1 ntu-103-R01222008-1.pdf: 1530447 bytes, checksum: 33f9ceeb93a1e692dbfc5343b4fc8e7e (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書 i
致謝iii 中文摘要v Abstract vii Contents ix List of Figures xi List of Tables xiii 1 Introduction 1 2 Theory 3 2.1 Ising model on a square lattice . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 J1 − J2 Ising model on a square lattice . . . . . . . . . . . . . . . . . . . 3 2.3 Monte Carlo simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 Classical Monte Carlo method . . . . . . . . . . . . . . . . . . . 5 2.3.2 Metropolis algorithm . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3.3 Parallel tempering Monte Carlo method . . . . . . . . . . . . . . 7 2.3.4 Calculated observables . . . . . . . . . . . . . . . . . . . . . . . 8 2.4 Finite-size scaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.5 Non-equilibrium quenching . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.5.1 Kibble-Zurek Mechanism . . . . . . . . . . . . . . . . . . . . . 12 2.5.2 Complete finite-size scaling form with linear quench and nonlinear quench . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.6 Statistics and data analysis . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.7 GPU . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.7.1 GPU architecture . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.7.2 Algorithm of J1 − J2 Ising model on GPU . . . . . . . . . . . . 25 3 Results 27 3.1 Critical temperatures and critical exponents . . . . . . . . . . . . . . . . 27 3.2 Extraction of the dynamic exponent . . . . . . . . . . . . . . . . . . . . 37 4 Summary and Discussion 41 Bibliography 43 | |
dc.language.iso | en | |
dc.title | 二維易辛模型考慮次近鄰交互作用其相變化及淬火動力學 | zh_TW |
dc.title | The Quench Dynamics and the Critical Behavior of the J1-J2 Ising Model | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳柏中(Po-Chung Chen),林瑜琤 | |
dc.subject.keyword | 古典蒙地卡羅演算法,有限尺度效應,圖形處理單元,二維方格易辛模型考慮次近鄰之交互作用,淬火動力學,Kibble-Zurek機制, | zh_TW |
dc.subject.keyword | Classical Monte Carlo,finite-size scaling,GPU,J1?J2 Ising model,quench dynamics,Kibble-Zurek mechanism, | en |
dc.relation.page | 47 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2014-07-28 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 物理研究所 | zh_TW |
顯示於系所單位: | 物理學系 |
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