222 citations · 222 across the 3 of their papers we have counts for
3 papers
cs.LG2026
On the training of physics-informed neural operators for solving parametric partial differential equations
Nanxi Chen, Chuanjie Cui, Airong Chen +2
Physics-informed neural operators (PINOs) aim to learn solution operators for partial differential equations by using the governing physics as supervision, rather than relying sole…
cs.LG2026
Physics-informed neural operator for parametric phase-field modelling of interfacial degradation and microstructural evolution
Nanxi Chen, Airong Chen, Rujin Ma
Predicting interfacial degradation and microstructural evolution through phase-field modelling is computationally intensive, particularly for parametric studies. While neural opera…
physics.app-ph2020★ 222 cited
A phase field formulation for dissolution-driven stress corrosion cracking
Chuanjie Cui, Rujin Ma, Emilio Martínez-Pañeda
We present a new theoretical and numerical framework for modelling mechanically-assisted corrosion in elastic-plastic solids. Both pitting and stress corrosion cracking (SCC) can b…