Diffusion Monte Carlo approaches for studying nuclear quantum effects in fluxional molecules
Diffusion Monte Carlo approaches for studying nuclear quantum effects in fluxional molecules
复制标题
研究流变分子中核量子效应的扩散蒙特卡罗方法
DOI:
10.1002/wcms.1615
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
McCoy, Anne B.
中科院分区:
文献类型:
--
作者:
DiRisio, Ryan J.;Finney, Jacob M.;McCoy, Anne B.
Diffusion quantum Monte Carlo (DMC) provides a powerful approach for obtaining the ground state energy and wave function of molecules, ions, and molecular clusters. The approach is uniquely well suited for studies of fluxional molecules, which undergo large amplitude vibrational motions even in their ground state. In contrast to the electronic structure problem, where the wave function must be antisymmetric with respect to exchange of any pair of electrons, the wave function for the ground vibrational state is nodeless. This greatly simplifies the application of DMC for vibrational problems. Because there is not a single potential function that can be used to describe the intramolecular and intermolecular interactions in all molecular systems, most methods that are used to describe nuclear quantum effects rely on a carefully chosen zero‐order description of the molecular vibrations. In contrast, DMC calculations can be performed in Cartesian coordinates, making the DMC algorithm easily transferable between different chemical systems. In this contribution, the theory that underlies DMC will be discussed along with important considerations for performing DMC calculations. Extensions for evaluating vibrationally excited states and molecular properties are also discussed. Insights that can be obtained from DMC calculations are illustrated in the context of the protonated water clusters.This article is categorized under:Molecular and Statistical Mechanics > Molecular Dynamics and Monte‐Carlo MethodsTheoretical and Physical Chemistry > Spectroscopy
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DOI:
10.1021/jp109999b
发表时间:
2011
期刊:
The journal of physical chemistry. A
影响因子:
--
作者:
T. Guasco;Mark A. Johnson;A. McCoy
通讯作者:
A. McCoy
影响因子:
8.6
作者:
A. Sarsa;Z. Bačić;J. W. Moskowitz;K. Schmidt
通讯作者:
K. Schmidt
影响因子:
3.4
作者:
Laura C Dzugan;Ryan J DiRisio;L. Madison;A. McCoy
通讯作者:
A. McCoy
DOI:
--
发表时间:
2000
期刊:
影响因子:
--
作者:
A. McCoy
通讯作者:
A. McCoy
DOI:
--
发表时间:
1996
期刊:
影响因子:
--
作者:
P. Sandler;V. Buch;J. Sadlej
通讯作者:
J. Sadlej