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Found 4 papers, 1 papers with code
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system
In this work, we derive and investigate a neural network-based approximation to the entropy closure method to accurately compute the solution of the multi-dimensional moment system with a low memory footprint and competitive computational time.
Streaming Compression of Scientific Data via weak-SINDy
This feature makes streaming compression algorithms well-suited for scientific data compression, where storing the full data set offline is often infeasible.
Convergence of weak-SINDy Surrogate Models
In this paper, we give an in-depth error analysis for surrogate models generated by a variant of the Sparse Identification of Nonlinear Dynamics (SINDy) method.
A DG-IMEX method for two-moment neutrino transport: Nonlinear solvers for neutrino-matter coupling
In the context of this DG-IMEX scheme, we propose two approaches to formulate the nonlinear systems -- a coupled approach and a nested approach.
High Energy Astrophysical Phenomena
