2 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 predictive parametric phase-field modelling
Nanxi Chen, Airong Chen, Rujin Ma
Predicting the microstructural and morphological evolution of materials through phase-field modelling is computationally intensive, particularly for high-throughput parametric stud…