Path Integral Simulations
Path Integral Simulations
复制标题
路径积分模拟
DOI:
10.1016/b978-0-12-409547-2.11614-2
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Motoyuki Shiga
中科院分区:
文献类型:
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作者:
Lei Yan;Yoshiyuki Yamamoto;Motoyuki Shiga;Osamu Sugino;Motoyuki Shiga
Path integral (PI) simulation is a method based on Feynman’s imaginary time path integral theory. 1–3 The method provides numerically exact solutions with respect to quantum Boltzmann statistics of complex molecular systems in thermal equilibrium. There are a variety of PI simulation techniques, 4–12 but this paper focuses on path integral molecular dynamics (PIMD), 13–16 path integral Monte Carlo (PIMC), 17–21 path integral hybrid Monte Carlo (PIHMC), 16, 22–26 centroid molecular dynamics (CMD), 27–32 and ring polymer molecular dynamics (RPMD). 33–36 In recent years PI simulation has been implemented into software such as AMBER, 37 CPMD, 38 i-PI, 39 PIMD, 40 and PINY. 41PIMD is a method in which molecular dynamics is employed as a sampling technique to compute statistical averages. Akin to PIMD are PIMC and PIHMC methods where Monte Carlo and hybrid Monte Carlo, respectively, are employed as sampling techniques. PIMD, PIMC and PIHMC are common in the sense that they generate trajectories that do not convey information on time evolution. However the CMD and RPMD extensions of PIMD are able to generate trajectories with approximate quantum time correlation functions. Thus CMD and RPMD results are referred to as quasiclassical or semiclassical dynamics. The outline of PI simulations is as follows. We introduce a classical system whose statistical behavior is identical as that of the original quantum system. As will be mentioned below, the classical system corresponds to a necklace-like object of many replicated systems. We then compute the statistical average of the classical system using molecular dynamics to obtain the statistical average of the original quantum system.