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Accelerating quantum molecular simulations

delete2022-05-19
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PRE
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Tran Doan Huan *
DOI:10.1038/s43588-022-00237-wdelete
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Abstract

Abstract

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.

Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
4.0K

Organization

U
university system of georgia
Scholars:
7.3W
Papers: 6.6W
Citations: 101
Cited Papers

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