Data availability for "ChemFit: a framework for automated high-dimensional model parameter optimization"

DOI

<p>This repository accompanies the manuscript <em>“ChemFit: A framework for automated high-dimensional model parameter optimization”</em> and contains the source code, input structures, and simulation outputs required to reproduce the examples presented in the study. ChemFit is a Python framework for the definition and massively concurrent evaluation of simulation-based objective functions for use with gradient-free and black-box optimization algorithms.<br><br>The archive includes snapshots of the source code used in the study together with the corresponding simulation metadata, logfiles, reference structures, and initial configuration files necessary to reproduce the reported optimization workflows and results.</p>

Identifier
DOI https://doi.org/10.24435/materialscloud:tk-qx
Related Identifier https://archive.materialscloud.org/communities/mcarchive
Related Identifier https://doi.org/10.24435/materialscloud:3a-h9
Metadata Access https://archive.materialscloud.org/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:qs0kz-6t805
Provenance
Creator Sallermann, Moritz; Goswami, Amrita
Publisher Materials Cloud
Contributor Sallermann, Moritz
Publication Year 2026
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type info:eu-repo/semantics/other
Format application/zip; application/gzip; text/markdown
Discipline Materials Science and Engineering