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arXiv · 2209.12572

Solving Schr\"{o}dinger Equation Using Tensor Neural Network

Yangfei Liao·Zhongshuo Lin·Jianghao Liu·Qingyuan Sun·Yifan Wang·Teng Wu·Hehu Xie·Mingfeng He
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Abstract

In this paper, we introduce a novel approach to solve the many-body Schrodinger equation by the tensor neural network. Based on the tensor product structure, we can do the direct numerical integration by using fixed quadrature points for the functions constructed by the tensor neural network within tolerable computational complexity. Especially, we design several types of efficient numerical methods to treat the variable-coupled Coulomb potentials with high accuracy. The corresponding machine learning method is built for solving many-body Schrodinger equation. Some numerical examples are provided to validate the accuracy and efficiency of the proposed algorithms.

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Yangfei Liao, Zhongshuo Lin, Jianghao Liu, Qingyuan Sun, Yifan Wang, Teng Wu, Hehu Xie, Mingfeng He. 2022-09-26. Solving Schr\"{o}dinger Equation Using Tensor Neural Network. https://arxiv.org/abs/2209.12572

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