2 papers
physics.ao-ph2026
Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
Kelsey Lieberman, Laura Slivinski, Matt Bender +6
Satellite observation operators play an essential role in atmospheric data assimilation by translating model state variables into observation space. Previous work has shown that de…
math.AP2025
A detailed and comprehensive account of fractional Physics-Informed Neural Networks: From implementation to efficiency
Donya Dabiri, Joshua DaRosa, Milad Saadat +2
Fractional differential equations are powerful mathematical descriptors for intricate physical phenomena in a compact form. However, compared to integer ordinary or partial differe…