| 期刊全稱 | Applications of the Monte Carlo Method in Statistical Physics | | 影響因子2023 | Kurt Binder | | 視頻video | http://file.papertrans.cn/160/159604/159604.mp4 | | 學(xué)科分類 | Topics in Current Physics | | 圖書封面 |  | | 影響因子 | Monte Carlo computer simulations are now a standard tool in scientific fields such as condensed-matter physics, including surface-physics and applied-physics problems (metallurgy, diffusion, and segregation, etc. ), chemical physics, including studies of solutions, chemical reactions, polymer statistics, etc. , and field theory. With the increasing ability of this method to deal with quantum-mechanical problems such as quantum spin systems or many-fermion problems, it will become useful for other questions in the fields of elementary-particle and nuclear physics as well. The large number of recent publications dealing either with applications or further development of some aspects of this method is a clear indication that the scientific community has realized the power and versatility of Monte Carlo simula- tions, as well as of related simulation techniques such as "molecular dynamics" and "Langevin dynamics," which are only briefly mentioned in the present book. With the increasing availability of recent very-high-speed general-purpose computers, many problems become tractable which have so far escaped satisfactory treatment due to prac- tical limitations (too small systems had to | | Pindex | Book 19841st edition |
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