Top papers
- UniPINN: A Unified PINN Framework for Multi-task Learning of Diverse Navier-Stokes Equations(7.0)
- Physics-informed neural operator for predictive parametric phase-field modelling(6.0)
- Building Trust in PINNs: Error Estimation through Finite Difference Methods(6.0)
- Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask(4.0)
- Scaling Laws and Pathologies of Single-Layer PINNs: Network Width and PDE Nonlinearity(2.0)