2 papers
cs.LG2026
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
Leszek Siwik, Maciej Sikora, Natalia Leszczyńska +12
In this paper, we propose a Physics-Informed Neural Network framework for time-dependent simulations of pollution propagation originating from moving emission sources. We formulate…
math.NA2026
Physics-Informed Deep Learning for Industrial Processes: Time-Discrete VPINNs for heat conduction
Manuela Bastidas Olivares, Josué David Acosta Castrillón, Diego A. Muñoz
Neural networks offer powerful tools to solve partial differential equations (PDEs). We present a Variational Physics-Informed Neural Network (VPINN) designed for parabolic problem…