Structure-Preserving Neural Ordinary Differential Equations for Stiff Systems

Allen Alvarez Loya, Daniel A. Serino, J. W. Burby +1

Neural ordinary differential equations (NODEs) are an effective approach for data-driven modeling of dynamical systems arising from simulations and experiments. One of the major sh…