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20232026
most citedSelf-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks

26 citations · 30 across the 7 of their papers we have counts for

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physics.comp-ph2023★ 1 cited

Physics-informed machine learning of the correlation functions in bulk fluids

Wenqian Chen, Peiyuan Gao, Panos Stinis

The Ornstein-Zernike (OZ) equation is the fundamental equation for pair correlation function computations in the modern integral equation theory for liquids. In this work, machine…