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2019-05-13Zeitschriftenartikel DOI: 10.18452/24107
The NOMAD laboratory: from data sharing to artificial intelligence
dc.contributor.authorDraxl, Claudia
dc.contributor.authorScheffler, Matthias
dc.date.accessioned2022-02-04T10:48:36Z
dc.date.available2022-02-04T10:48:36Z
dc.date.issued2019-05-13none
dc.date.updated2022-02-02T21:28:27Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/24749
dc.description.abstractThe Novel Materials Discovery (NOMAD) Laboratory is a user-driven platform for sharing and exploiting computational materials science data. It accounts for the various aspects of data being a crucial raw material and most relevant to accelerate materials research and engineering. NOMAD, with the NOMAD Repository, and its code-independent and normalized form, the NOMAD Archive, comprises the worldwide largest data collection of this field. Based on its findable accessible, interoperable, reusable data infrastructure, various services are offered, comprising advanced visualization, the NOMAD Encyclopedia, and artificial-intelligence tools. The latter are realized in the NOMAD Analytics Toolkit. Prerequisite for all this is the NOMAD metadata, a unique and thorough description of the data, that are produced by all important computer codes of the community. Uploaded data are tagged by a persistent identifier, and users can also request a digital object identifier to make data citable. Developments and advancements of parsers and metadata are organized jointly with users and code developers. In this work, we review the NOMAD concept and implementation, highlight its orthogonality to and synergistic interplay with other data collections, and provide an outlook regarding ongoing and future developments.eng
dc.description.sponsorshipHorizon 2020 Framework Programme https://doi.org/10.13039/100010661
dc.language.isogernone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectdata scienceeng
dc.subjectdata repositoryeng
dc.subjectdata analyticseng
dc.subjectmetadataeng
dc.subjectcomputational materialseng
dc.subject.ddc530 Physiknone
dc.titleThe NOMAD laboratory: from data sharing to artificial intelligencenone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/24749-9
dc.identifier.doihttp://dx.doi.org/10.18452/24107
dc.type.versionpublishedVersionnone
local.edoc.pages9none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2515-7639
dcterms.bibliographicCitation.doi10.1088/2515-7639/ab13bbnone
dcterms.bibliographicCitation.journaltitleJournal of physics: materialsnone
dcterms.bibliographicCitation.volume2none
dcterms.bibliographicCitation.issue3none
dcterms.bibliographicCitation.articlenumber036001none
dcterms.bibliographicCitation.originalpublishernameIOP Publishingnone
dcterms.bibliographicCitation.originalpublisherplaceBristolnone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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