2 papers
cs.LG2025
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion
Zhikai Wu, Sifan Wang, Shiyang Zhang +5
Operator learning for time-dependent partial differential equations (PDEs) has seen rapid progress in recent years, enabling efficient approximation of complex spatiotemporal dynam…
astro-ph.EP2025
Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
Shunyuan Mao, Weiqi Wang, Sifan Wang +7
Accretion disks are ubiquitous in astrophysics, appearing in diverse environments from planet-forming systems to X-ray binaries and active galactic nuclei. Traditionally, modeling…