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Accelerating quantum molecular simulations

delete2022-05-19
delete0
PRE
AI
T
Tran Doan Huan *
DOI：10.1038/s43588-022-00237-wdelete
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摘要

摘要

En 中文
Variational Monte Carlo is one of the most accurate methods to solve the many-electron Schrodinger equation, but suffers from high computational cost. A recent study uses a weight-sharing technique to accelerate the neural network-based variational Monte Carlo method, allowing accurate and effective simulations of molecules.

期刊

Nature Computational Science 封面图
Nature Computational Science
IF:
18.3
论文数:
3.1K
被引数:
4.0K

机构

U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
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