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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-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…

math.NA2023

Gradient-enhanced physics-informed neural networks based on transfer learning for inverse problems of the variable coefficient differential equations

Shuning Lin, Yong Chen

We propose gradient-enhanced PINNs based on transfer learning (TL-gPINNs) for inverse problems of the function coefficient discovery in order to overcome deficiency of the discrete…