Software Open Access
Sturm, Dominik; Maddu, Suryanarayana; Sbalzarini, Ivo F.
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.14278/rodare.2386</identifier> <creators> <creator> <creatorName>Sturm, Dominik</creatorName> <givenName>Dominik</givenName> <familyName>Sturm</familyName> <affiliation>TU Dresden, Dresden, Germany; Center for Advanced Systems Understanding (CASUS), Görlitz, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HDZR), Dresden, Germany</affiliation> </creator> <creator> <creatorName>Maddu, Suryanarayana</creatorName> <givenName>Suryanarayana</givenName> <familyName>Maddu</familyName> <affiliation>Center for Computational Biology, Flatiron Institute, New York, USA; NSF-Simons Center for Mathematical & Statistical Analysis of Biology, Harvard University, Boston, USA</affiliation> </creator> <creator> <creatorName>Sbalzarini, Ivo F.</creatorName> <givenName>Ivo F.</givenName> <familyName>Sbalzarini</familyName> <affiliation>TU Dresden, Dresden, Germany; Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany; Center for Systems Biology Dresden, Dresden, Germany</affiliation> </creator> </creators> <titles> <title>Codes, Models and Data for Learning locally dominant force balances in active particle systems</title> </titles> <publisher>Rodare</publisher> <publicationYear>2023</publicationYear> <dates> <date dateType="Issued">2023-07-27</date> </dates> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/2386</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-37298</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-34822</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2378</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier> </relatedIdentifiers> <version>1.1</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Here, we provide all the codes, models and datasets for the submission &quot;Learning locally dominant force balances in active particle systems&quot;.</p></description> </descriptions> </resource>
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