{"id":"https://openalex.org/W2889762385","doi":"https://doi.org/10.1007/s10915-019-00908-3","title":"Machine Learning for Semi Linear PDEs","display_name":"Machine Learning for Semi Linear PDEs","publication_year":2019,"publication_date":"2019-02-12","ids":{"openalex":"https://openalex.org/W2889762385","doi":"https://doi.org/10.1007/s10915-019-00908-3","mag":"2889762385"},"language":"en","primary_location":{"id":"doi:10.1007/s10915-019-00908-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-019-00908-3","pdf_url":null,"source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific Computing","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.07609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079160056","display_name":"Quentin Chan-Wai-Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143116","display_name":"\u00c9lectricit\u00e9 de France (France)","ror":"https://ror.org/03wb8xz10","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210143116"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Quentin Chan-Wai-Nam","raw_affiliation_strings":["EDF Lab Paris-Saclay, Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"EDF Lab Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I4210143116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002543142","display_name":"Joseph Mikael","orcid":"https://orcid.org/0000-0002-0416-5297"},"institutions":[{"id":"https://openalex.org/I4210143116","display_name":"\u00c9lectricit\u00e9 de France (France)","ror":"https://ror.org/03wb8xz10","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210143116"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joseph Mikael","raw_affiliation_strings":["EDF Lab Paris-Saclay, Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"EDF Lab Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I4210143116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000513018","display_name":"Xavier Warin","orcid":"https://orcid.org/0000-0002-1784-2875"},"institutions":[{"id":"https://openalex.org/I4210143116","display_name":"\u00c9lectricit\u00e9 de France (France)","ror":"https://ror.org/03wb8xz10","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210143116"]},{"id":"https://openalex.org/I4210141421","display_name":"Minist\u00e8re de l'\u00c9conomie et des Finances","ror":"https://ror.org/04nx63b17","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210141421"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Warin","raw_affiliation_strings":["EDF Lab Paris-Saclay, Palaiseau, France","Laboratoire de Finance des March\u00e9s de l\u2019Energie, FiME, Chatou, France"],"affiliations":[{"raw_affiliation_string":"EDF Lab Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I4210143116"]},{"raw_affiliation_string":"Laboratoire de Finance des March\u00e9s de l\u2019Energie, FiME, Chatou, France","institution_ids":["https://openalex.org/I4210141421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079160056"],"corresponding_institution_ids":["https://openalex.org/I4210143116"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.8816,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72156231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"79","issue":"3","first_page":"1667","last_page":"1712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11416","display_name":"Numerical methods for differential equations","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053426504135132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5853643417358398},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5496901869773865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5280554890632629},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5011298656463623},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4899124503135681},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.4543927311897278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3943781852722168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18805080652236938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053426504135132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5853643417358398},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5496901869773865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5280554890632629},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5011298656463623},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4899124503135681},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.4543927311897278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3943781852722168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18805080652236938},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10915-019-00908-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-019-00908-3","pdf_url":null,"source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1809.07609","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.07609","pdf_url":"https://arxiv.org/pdf/1809.07609","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1809.07609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1809.07609","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2889762385","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.07609","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.07609","pdf_url":"https://arxiv.org/pdf/1809.07609","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889762385.pdf","grobid_xml":"https://content.openalex.org/works/W2889762385.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1655517863","https://openalex.org/W1806891645","https://openalex.org/W1948872067","https://openalex.org/W1981151146","https://openalex.org/W1988115241","https://openalex.org/W1998562371","https://openalex.org/W2043281212","https://openalex.org/W2064675550","https://openalex.org/W2078895915","https://openalex.org/W2103496339","https://openalex.org/W2126311658","https://openalex.org/W2151832703","https://openalex.org/W2164282683","https://openalex.org/W2167018969","https://openalex.org/W2194775991","https://openalex.org/W2523246573","https://openalex.org/W2584382407","https://openalex.org/W2625995436","https://openalex.org/W2734689136","https://openalex.org/W2749028154","https://openalex.org/W2799008470","https://openalex.org/W2803629276","https://openalex.org/W2806181750","https://openalex.org/W2952108335","https://openalex.org/W2963242003","https://openalex.org/W2963870185","https://openalex.org/W6600474023","https://openalex.org/W6603255028","https://openalex.org/W6610550296","https://openalex.org/W6732629455","https://openalex.org/W6992520354"],"related_works":["https://openalex.org/W2625995436","https://openalex.org/W2967312566","https://openalex.org/W2337882413","https://openalex.org/W2803629276","https://openalex.org/W2754833785","https://openalex.org/W2749028154","https://openalex.org/W2962768290","https://openalex.org/W3186834862","https://openalex.org/W2045247244","https://openalex.org/W1043121868","https://openalex.org/W2263437416","https://openalex.org/W3178696777","https://openalex.org/W3142913680","https://openalex.org/W1799542866","https://openalex.org/W2962722144","https://openalex.org/W2944055920","https://openalex.org/W1993326513","https://openalex.org/W2078494829","https://openalex.org/W1737022976","https://openalex.org/W2910597341"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
