most citedAccelerating physics-informed neural network based 1D arc simulation by meta learning

27 citations · 40 across the 5 of their papers we have counts for

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physics.comp-ph2023★ 8 cited

NAS-PINN: Neural architecture search-guided physics-informed neural network for solving PDEs

Yifan Wang, Linlin Zhong

Physics-informed neural network (PINN) has been a prevalent framework for solving PDEs since proposed. By incorporating the physical information into the neural network through los…

physics.comp-ph2022★ 3 cited

Solving Schrödinger Equation Using Tensor Neural Network

Yangfei Liao, Zhongshuo Lin, Jianghao Liu +5

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 n…