Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems - Dataset - B2FIND

Dataset

Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems

DOI

Reference data and scripts generated for the "Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems" manuscript.

Identifier
DOI	https://doi.org/10.14278/rodare.4596
Related Identifier	IsIdenticalTo https://www.hzdr.de/publications/Publ-43234
Related Identifier	IsPartOf https://doi.org/10.14278/rodare.4595
Related Identifier	IsPartOf https://rodare.hzdr.de/communities/matter
Related Identifier	IsPartOf https://rodare.hzdr.de/communities/rodare
Metadata Access	https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:4596

Provenance
Creator	Tahmasbi, Hossein ; Knüpfer, Andreas (ORCID: 0000-0003-3591-397X); Kühne, Thomas Dae-Song; Mir Hosseini, Seyed Hossein
Publisher	Rodare
Publication Year	2026
Rights	Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess	true
Contact	https://rodare.hzdr.de/support

Representation
Resource Type	Dataset
Discipline	Life Sciences; Natural Sciences; Engineering Sciences