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COMPUTATIONAL CHEMISTRY

Accelerating quantum molecular simulations

Nature Computational Science volume 2, pages 292–293 (2022)Cite this article

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Variational Monte Carlo is one of the most accurate methods to solve the many-electron Schrödinger 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.

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Fig. 1: Weight-sharing technique to accelerate DNN-based VMC.

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  1. School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Huan Tran

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  1. Huan Tran
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Correspondence to Huan Tran.

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The author declares no competing interests.

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Tran, H. Accelerating quantum molecular simulations. Nat Comput Sci 2, 292–293 (2022). https://doi.org/10.1038/s43588-022-00237-w

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