17 citations · 17 across the 4 of their papers we have counts for
4 papers
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…
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…
Exponential integrators for non-linear diffusion
Valentin Dallerit, Mayya Tokman, Ilon Joseph
The goal of this project is to compare the performance of exponential time integrators with traditional methods such as diagonally implicit Runge-Kutta methods in the context of so…
High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid
Stéphane Gaudreault, Martin Charron, Valentin Dallerit +1
A novel numerical approach to solving the shallow-water equations on the sphere using high-order numerical discretizations in both space and time is proposed. A space-time tensor f…