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cs.LG2025
An Inverse Scattering Inspired Fourier Neural Operator for Time-Dependent PDE Learning
Rixin Yu
Learning accurate and stable time-advancement operators for nonlinear partial differential equations (PDEs) remains challenging, particularly for chaotic, stiff, and long-horizon d…
cs.LG2024
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
Rixin Yu, Erdzan Hodzic, Karl-Johan Nogenmyr
Recent advancements in the integration of artificial intelligence (AI) and machine learning (ML) with physical sciences have led to significant progress in addressing complex pheno…