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20212025
most citedA two-stage physics-informed neural network method based on conserved quantities and applications in localized wave solutions

182 citations · 253 across the 6 of their papers we have counts for

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physics.comp-ph2024★ 1 cited

Causality-guided adaptive sampling method for physics-informed neural networks

Shuning Lin, Yong Chen

Compared to purely data-driven methods, a key feature of physics-informed neural networks (PINNs) - a proven powerful tool for solving partial differential equations (PDEs) - is th…

physics.comp-ph2023★ 1 cited

The improved backward compatible physics-informed neural networks for reducing error accumulation and applications in data-driven higher-order rogue waves

Shuning Lin, Yong Chen

Due to the dynamic characteristics of instantaneity and steepness, employing domain decomposition techniques for simulating rogue wave solutions is highly appropriate. Wherein, the…