{"authors":[{"id":null,"fullName":"Poubeau, Bastien","name":"Bastien","surname":"Poubeau","rank":1,"pid":{"id":{"scheme":"orcid_pending","value":"0009-0004-5944-9862"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"other","language":{"code":"eng","label":"English"},"countries":null,"subjects":[{"subject":{"scheme":"keyword","value":"Machine Learning"},"provenance":null},{"subject":{"scheme":"keyword","value":"Nuclear Reactors"},"provenance":null}],"mainTitle":"Machine learning for the simulation of nuclear power plants and other complex systems","subTitle":null,"descriptions":null,"publicationDate":"2025-12-01","publisher":"Zenodo","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::d83b7fde5ac9fffcad6df1e424fec221","originalIds":["50|datacite____::933aa8c1fc486d80f1565683d3db810c","10.5281/zenodo.18491562","oai:zenodo.org:18491562","50|od______2659::933aa8c1fc486d80f1565683d3db810c","50|datacite____::d83b7fde5ac9fffcad6df1e424fec221","10.5281/zenodo.17776598","50|od______2659::d83b7fde5ac9fffcad6df1e424fec221","oai:zenodo.org:17776598","50|datacite____::ea829b1217af067967c16a926f854acf","10.5281/zenodo.17776597"],"pids":[{"scheme":"doi","value":"10.5281/zenodo.18491562"},{"scheme":"doi","value":"10.5281/zenodo.17776598"},{"scheme":"doi","value":"10.5281/zenodo.17776597"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":2.342466E-9,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"corda_____he::7f449606bea89fa287fd464c2960c579","code":"101059682","acronym":"ASSAS","title":"Artificial intelligence for the Simulation of Severe AccidentS","funder":"European Commission","pids":[{"scheme":"doi","value":"10.3030/101059682"}]}],"organizations":[{"legalName":"Institut de Radioprotection et de Sûreté Nucléaire","acronym":"IRSN","id":"openorgs____::39f485795108b267624b0aee2ec74ea4","pids":[{"scheme":"mag_id","value":"1293448361"},{"scheme":"PIC","value":"967670449"},{"scheme":"FundRef","value":"501100004598"},{"scheme":"ISNI","value":"0000000114146236"},{"scheme":"OrgReg","value":"FR1018"},{"scheme":"RNSR","value":"RNSR:201722594P"},{"scheme":"Wikidata","value":"Q131620137"},{"scheme":"GRID","value":"grid.418735.c"},{"scheme":"PIC","value":"999480726"},{"scheme":"ROR","value":"https://ror.org/04dbtaf18"},{"scheme":"wikidata","value":"Q131620137"},{"scheme":"fundref","value":"501100004598"},{"scheme":"Wikidata","value":"Q1502878"},{"scheme":"wikidata","value":"Q1502878"},{"scheme":"OrgRef","value":"4890844"},{"scheme":"ROR","value":"https://ror.org/01ha22c77"}]}],"communities":[{"code":"eosc","label":"EOSC","provenance":null}],"collectedFrom":[{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}],"instances":[{"pids":[{"scheme":"doi","value":"10.5281/zenodo.18491562"}],"license":"CC BY","type":"Event","urls":["https://dx.doi.org/10.5281/zenodo.18491562"],"publicationDate":"2026-02-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.18491562"}],"alternateIdentifiers":[{"scheme":"oai","value":"oai:zenodo.org:18491562"}],"license":"CC BY","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Event","urls":["http://dx.doi.org/10.5281/zenodo.18491562","https://zenodo.org/records/18491562"],"publicationDate":"2026-02-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17776598"}],"license":"CC BY","type":"Event","urls":["https://dx.doi.org/10.5281/zenodo.17776598"],"publicationDate":"2025-12-01","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17776598"}],"alternateIdentifiers":[{"scheme":"oai","value":"oai:zenodo.org:17776598"}],"license":"CC BY","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Event","urls":["https://zenodo.org/records/17776598","http://dx.doi.org/10.5281/zenodo.17776598"],"publicationDate":"2025-12-01","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17776597"}],"license":"CC BY","type":"Event","urls":["https://dx.doi.org/10.5281/zenodo.17776597"],"publicationDate":"2026-02-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}}],"links":[{"header":{"relationType":"resultProject","relationClass":"isProducedBy","relatedIdentifier":"corda_____he::7f449606bea89fa287fd464c2960c579","relatedRecordType":"project","relationProvenance":"sysimport:crosswalk:repository","trust":"0.9"},"collectedfrom":[{"dsId":"openaire____::3f264f93cf3b0cfc4ede188a6300455c","dsName":"CORDA - COmmon Research DAta Warehouse - Horizon Europe"}],"projectTitle":"Artificial intelligence for the Simulation of Severe AccidentS","code":"101059682","funding":{"funder":{"id":"ec__________::EC","shortname":"EC","name":"European Commission","jurisdiction":{"code":"EU","label":"European Union"},"pid":null},"level0":{"id":"ec__________::EC::HE","description":"Horizon Europe Framework Programme","name":"HE"},"level1":{"id":"ec__________::EC::HE::EURATOM-RIA","description":"EURATOM Research and Innovation Actions","name":"EURATOM-RIA"},"level2":{"id":null,"description":null,"name":null}},"startDate":"2022-11-01","endDate":"2027-04-30"}],"otherTitles":null,"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null}