Replication Data for: Constraint-aware neural networks for Riemann problems
J. Magiera. Dataset, (2024)Related to: Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde, Constraint-aware neural networks for Riemann problems, Journal of Computational Physics, Volume 409, 2020, 109345. doi: 10.1016/j.jcp.2020.109345.
DOI: 10.18419/darus-3869
Abstract
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in the README.md.
Related to: Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde, Constraint-aware neural networks for Riemann problems, Journal of Computational Physics, Volume 409, 2020, 109345. doi: 10.1016/j.jcp.2020.109345
%0 Generic
%1 magiera2024replication
%A Magiera, Jim M.
%D 2024
%K darus ubs_10021 ubs_20019 ubs_30165 unibibliografie
%R 10.18419/darus-3869
%T Replication Data for: Constraint-aware neural networks for Riemann problems
%X Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in the README.md.
@misc{magiera2024replication,
abstract = {Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in the README.md. },
added-at = {2024-01-15T12:35:53.000+0100},
affiliation = {Magiera, Jim M./Universität Stuttgart},
author = {Magiera, Jim M.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2343eceaf3167b093b7537d3963c49274/unibiblio},
doi = {10.18419/darus-3869},
howpublished = {Dataset},
interhash = {13972096182f175c582d60c0c4b0abe6},
intrahash = {343eceaf3167b093b7537d3963c49274},
keywords = {darus ubs_10021 ubs_20019 ubs_30165 unibibliografie},
note = {Related to: Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde, Constraint-aware neural networks for Riemann problems, Journal of Computational Physics, Volume 409, 2020, 109345. doi: 10.1016/j.jcp.2020.109345},
orcid-numbers = {Magiera, Jim M./0000-0001-9807-0784},
timestamp = {2024-01-15T12:35:53.000+0100},
title = {Replication Data for: Constraint-aware neural networks for Riemann problems},
year = 2024
}