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20212026
most citedMeta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks

6 citations · 12 across the 15 of their papers we have counts for

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cs.LG2022★ 6 cited

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks

Shibo Li, Michael Penwarden, Yiming Xu +4

Physics-informed neural networks (PINNs) are emerging as popular mesh-free solvers for partial differential equations (PDEs). Recent extensions decompose the domain, apply differen…

cs.LG2022

Infinite-Fidelity Coregionalization for Physical Simulation

Shibo Li, Zheng Wang, Robert M. Kirby +1

Multi-fidelity modeling and learning are important in physical simulation-related applications. It can leverage both low-fidelity and high-fidelity examples for training so as to r…