2 papers
cs.LG2026
NEXT: Physics-Informed Neuro-Spectral Exponential Time Differencing Architectures
Márcio Marques, Leonardo Mendonça, Leonardo M. Moreira +6
Physics-Informed Neural Networks (PINNs) build neural representations of time-dependent PDE solutions, naturally incorporating physics knowledge and observational data, which makes…
cs.LG2025
Neuro-Spectral Architectures for Causal Physics-Informed Networks
Arthur Bizzi, Leonardo M. Moreira, Márcio Marques +9
Physics-Informed Neural Networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs). However, standard MLP-based PINNs often fail to con…