pinns_for_nonlinear_barotropic_vorticity_equation

DOI

Zip file containing the code, run_script, notebooks to reproduce our results on "physics-informed neural networks for nonlinear barotropic vorticity equation on a rotating sphere"

Identifier
DOI https://doi.org/10.23728/b2share.3d8cd728844d476181e56826929ef7d2
Source https://b2share.eudat.eu/records/3d8cd728844d476181e56826929ef7d2
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/3d8cd728844d476181e56826929ef7d2
Provenance
Creator Mache, Ramiyou Karim
Publisher EUDAT B2SHARE
Publication Year 2022
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact k.mache(at)fz-juelich.de
Representation
Format tar
Size 12.3 MB; 1 file
Discipline 4.1.17.1.2 → Cognitive science → Machine learning