Stefan R Schnake Research Scientist -- Computational and Applied Mathematics Contact SCHNAKESR@ORNL.GOV All Publications Dynamic Low-Rank Training with Spectral Regularization: Achieving Robustness in Compressed Representations Towards dynamical low-rank approximation for neutrino kinetic equations. Part I: Analysis of an idealized relaxation model Sparse-grid discontinuous Galerkin methods for the Vlasov–Poisson–Lenard–Bernstein model ASGarD: Adaptive Sparse Grid Discretization An Asymptotic Preserving Discontinuous Galerkin Method for a Linear Boltzmann Semiconductor Model... A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations Key Links ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Multiscale Methods and Dynamics Group
