A neural network maps ODE states to a slow-evolving latent space with dynamics derived from the original equations via the chain rule, enabling accelerated simulations with fewer function calls.
A comparison of stiff ode solvers for astrochemical kinetics problems.Astrophysics and Space Science, 299:1–29, 09 2005
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Accelerating the Simulation of Ordinary Differential Equations Through Physics-Preserving Neural Networks
A neural network maps ODE states to a slow-evolving latent space with dynamics derived from the original equations via the chain rule, enabling accelerated simulations with fewer function calls.