2 papers
cs.LG2026
Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
Carlos A. Pereira, Stéphane Gaudreault, Valentin Dallerit +9
Machine-learning approaches to weather forecasting often employ a monolithic architecture in which distinct physical mechanisms, such as advection, diffusive mixing, thermodynamic…
math.NA2023
Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians
Jared Stewart, Mayya Tokman, Fabrizio Bisetti +2
Computational chemical combustion problems are known to be stiff, and are typically solved with implicit time integration methods. A novel exponential time integrator, EPI3V, is in…