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PyLAT: Python LAMMPS Analysis Tools

delete2019-03-07
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M
Michael T. Humbert
张勇 封面图
张勇 (Yong Zhang)
E
Edward J. Maginn *
DOI:10.1021/acs.jcim.9b00066delete
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摘要

摘要

En 中文
Reproducibility and accuracy have become increasingly important issues for the molecular simulation community. The availability of validated open-source postprocessing tools to analyze simulation trajectories and compute properties is key to helping researchers conduct more accurate and reproducible simulations. Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT. PyLAT is compatible with the popular molecular dynamics package LAMMPS and enables users to compute viscosities, self-diffusivities, ionic conductivities, molecule or ion pair lifetimes, dielectric constants, and radial distribution functions using best-practice methods.
Keyword:
MOLECULAR-DYNAMICS SIMULATIONS
PACKAGE
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期刊

Journal of Chemical Information and Modeling 封面图
Journal of Chemical Information and Modeling
IF:
5.3
论文数:
9.1K
被引数:
4.0W

机构

U
University of Notre Dame
学者数:
1.2W
论文数: 1.1W
被引数: 1.7W
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