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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…