Importance Sampling in Rigid Body Diffusion Monte Carlo
计算物理
2009-11-07 v1 凝聚态物理
原子与分子团簇
摘要
We present an algorithm for rigid body diffusion Monte Carlo with importance sampling, which is based on a rigorous short-time expansion of the Green's function for rotational motion in three dimensions. We show that this short-time approximation provides correct sampling of the angular degrees of freedom, and provides a general way to incorporate importance sampling for all degrees of freedom. The full importance sampling algorithm significantly improves both calculational efficiency and accuracy of ground state properties, and allows rotational and bending excitations in molecular van der Waals clusters to be studied directly.
引用
@article{arxiv.physics/0109004,
title = {Importance Sampling in Rigid Body Diffusion Monte Carlo},
author = {Alexandra Viel and Mehul V. Patel and Parhat Niyaz and K. Birgitta Whaley},
journal= {arXiv preprint arXiv:physics/0109004},
year = {2009}
}
备注
Accepted for publication in Computer Physics Communications