121 citations · 122 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks
Xinling Yu, José E. C. Serrallés, Ilias I. Giannakopoulos +4
Electrical properties (EP), namely permittivity and electric conductivity, dictate the interactions between electromagnetic waves and biological tissue. EP can be potential biomark…
cs.LG2020★ 121 cited
When and why PINNs fail to train: A neural tangent kernel perspective
Sifan Wang, Xinling Yu, Paris Perdikaris
Physics-informed neural networks (PINNs) have lately received great attention thanks to their flexibility in tackling a wide range of forward and inverse problems involving partial…