{"id":"https://openalex.org/W4413495151","doi":"https://doi.org/10.1038/s43588-025-00858-x","title":"Deep active optimization for complex systems","display_name":"Deep active optimization for complex systems","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413495151","doi":"https://doi.org/10.1038/s43588-025-00858-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/40855360"},"language":"en","primary_location":{"id":"doi:10.1038/s43588-025-00858-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s43588-025-00858-x","pdf_url":"https://www.nature.com/articles/s43588-025-00858-x.pdf","source":{"id":"https://openalex.org/S4210228084","display_name":"Nature Computational Science","issn_l":"2662-8457","issn":["2662-8457"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Computational Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.nature.com/articles/s43588-025-00858-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020554327","display_name":"Ye Wei","orcid":"https://orcid.org/0000-0003-1965-2298"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ye Wei","raw_affiliation_strings":["Department of Data Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","Department of Materials Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","Hong Kong Institute of AI for Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","Hong Kong Institute of AI for Science, City University of Hong Kong, Hong Kong, China","Department of Data Science, City University of Hong Kong, Hong Kong, China","Department of Materials Science, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Data Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Materials Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Hong Kong Institute of AI for Science, City University of Hong Kong, Hong Kong, China. ye.wei@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Hong Kong Institute of AI for Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Data Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Materials Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046723172","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0003-0416-9076"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Department of Mechanical Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054838883","display_name":"Ruiwen Xie","orcid":"https://orcid.org/0000-0002-7421-9203"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ruiwen Xie","raw_affiliation_strings":["Institute of Materials Science, Technical University of Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Materials Science, Technical University of Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080074975","display_name":"Yangtao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangtao Chen","raw_affiliation_strings":["Helmholtz AI, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz AI, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546087","display_name":"Yuwen Qin","orcid":"https://orcid.org/0000-0001-9879-1514"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qin","raw_affiliation_strings":["Department of Orthopedics, Peking University Third Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Orthopedics, Peking University Third Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058141326","display_name":"Peng Wen","orcid":"https://orcid.org/0000-0002-5656-1988"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wen","raw_affiliation_strings":["Department of Mechanical Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018488407","display_name":"Stefan Bauer","orcid":"https://orcid.org/0000-0003-1712-060X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Bauer","raw_affiliation_strings":["Helmholtz AI, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz AI, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003616216","display_name":"Po\u2010Yen Tung","orcid":"https://orcid.org/0000-0002-2338-1219"},"institutions":[{"id":"https://openalex.org/I4210158408","display_name":"Matrix Research (United States)","ror":"https://ror.org/04mw0p229","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158408"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Po-Yen Tung","raw_affiliation_strings":["MatNex, London, UK"],"affiliations":[{"raw_affiliation_string":"MatNex, London, UK","institution_ids":["https://openalex.org/I4210158408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041020801","display_name":"Dierk Raabe","orcid":"https://orcid.org/0000-0003-0194-6124"},"institutions":[{"id":"https://openalex.org/I4210106926","display_name":"Max-Planck-Institut f\u00fcr Nachhaltige Materialien","ror":"https://ror.org/01ngpvg12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210106926"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dierk Raabe","raw_affiliation_strings":["Max Planck Institute for Sustainable Materials, D\u00fcsseldorf, Germany. d.raabe@mpie.de","Max Planck Institute for Sustainable Materials, D\u00fcsseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Sustainable Materials, D\u00fcsseldorf, Germany. d.raabe@mpie.de","institution_ids":["https://openalex.org/I4210106926"]},{"raw_affiliation_string":"Max Planck Institute for Sustainable Materials, D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I4210106926"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5020554327","https://openalex.org/A5041020801"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210106926"],"apc_list":{"value":9750,"currency":"EUR","value_usd":11690},"apc_paid":{"value":9750,"currency":"EUR","value_usd":11690},"fwci":1.5133,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83280042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"5","issue":"9","first_page":"801","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7257477045059204},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5655398368835449},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5501943826675415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362066626548767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46822047233581543},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32961761951446533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10421597957611084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257477045059204},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5655398368835449},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5501943826675415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362066626548767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46822047233581543},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32961761951446533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10421597957611084},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1038/s43588-025-00858-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s43588-025-00858-x","pdf_url":"https://www.nature.com/articles/s43588-025-00858-x.pdf","source":{"id":"https://openalex.org/S4210228084","display_name":"Nature Computational Science","issn_l":"2662-8457","issn":["2662-8457"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Computational Science","raw_type":"journal-article"},{"id":"pmid:40855360","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40855360","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature computational science","raw_type":null},{"id":"pmh:oai:europepmc.org:11266018","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12457189","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12457189/pdf/43588_2025_Article_858.pdf","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12457189","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12457189/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nat Comput Sci","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/3c34508a-dce5-49df-8560-a5a4e9917656","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/3c34508a-dce5-49df-8560-a5a4e9917656","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wei, Y, Peng, B, Xie, R, Chen, Y, Qin, Y, Wen, P, Bauer, S, Tung, P-Y & Raabe, D 2025, 'Deep active optimization for complex systems', Nature Computational Science, vol. 5, no. 9, pp. 801-812. https://doi.org/10.1038/s43588-025-00858-x","raw_type":"article"},{"id":"pmh:oai:pure.mpg.de:item_3672111","is_oa":true,"landing_page_url":"https://hdl.handle.net/21.11116/0000-0011-EE15-A","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nature Computational Science","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1038/s43588-025-00858-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s43588-025-00858-x","pdf_url":"https://www.nature.com/articles/s43588-025-00858-x.pdf","source":{"id":"https://openalex.org/S4210228084","display_name":"Nature Computational Science","issn_l":"2662-8457","issn":["2662-8457"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Computational Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2698282378","display_name":null,"funder_award_id":"52301302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7405283677","display_name":null,"funder_award_id":"24007","funder_id":"https://openalex.org/F4320324232","funder_display_name":"RWTH Aachen University"},{"id":"https://openalex.org/G74588336","display_name":null,"funder_award_id":"52175274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320322434","display_name":"Max-Planck-Gesellschaft","ror":"https://ror.org/01hhn8329"},{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413495151.pdf","grobid_xml":"https://content.openalex.org/works/W4413495151.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W181733065","https://openalex.org/W1625390266","https://openalex.org/W1979023806","https://openalex.org/W2045487679","https://openalex.org/W2110862556","https://openalex.org/W2168405694","https://openalex.org/W2192203593","https://openalex.org/W2230487954","https://openalex.org/W2257979135","https://openalex.org/W2562478358","https://openalex.org/W2902907165","https://openalex.org/W2919115771","https://openalex.org/W2941034199","https://openalex.org/W2949071206","https://openalex.org/W2968071222","https://openalex.org/W2981207549","https://openalex.org/W2982316857","https://openalex.org/W3012644610","https://openalex.org/W3102143361","https://openalex.org/W3137721329","https://openalex.org/W3208906681","https://openalex.org/W4231109964","https://openalex.org/W4292639835","https://openalex.org/W4302362632","https://openalex.org/W4307410169","https://openalex.org/W4323320070","https://openalex.org/W4366577362","https://openalex.org/W4386222188","https://openalex.org/W4387773219","https://openalex.org/W4389132751","https://openalex.org/W6949543514"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Inferring":[0],"optimal":[1,76],"solutions":[2,77,95],"from":[3],"limited":[4,64],"data":[5],"is":[6],"considered":[7],"the":[8,88,143],"ultimate":[9],"goal":[10],"in":[11,96],"scientific":[12,133],"discovery.":[13,129],"Artificial":[14],"intelligence":[15],"offers":[16],"a":[17,69],"promising":[18],"avenue":[19],"to":[20,45,73,82,100,108,138],"greatly":[21],"accelerate":[22],"this":[23],"process.":[24],"Existing":[25],"methods":[26],"often":[27],"depend":[28],"on":[29,132],"large":[30],"datasets,":[31],"strong":[32],"assumptions":[33],"about":[34],"objective":[35],"functions,":[36],"and":[37,78,111,125],"classic":[38],"machine":[39],"learning":[40],"techniques,":[41],"restricting":[42],"their":[43],"effectiveness":[44],"low-dimensional":[46],"or":[47],"data-rich":[48],"problems.":[49],"Here":[50],"we":[51],"introduce":[52],"an":[53],"optimization":[54],"pipeline":[55],"that":[56],"can":[57],"effectively":[58],"tackle":[59],"complex,":[60],"high-dimensional":[61],"problems":[62,97],"with":[63,98],"data.":[65,115],"This":[66],"approach":[67],"utilizes":[68],"deep":[70],"neural":[71],"surrogate":[72],"iteratively":[74],"find":[75],"introduces":[79],"additional":[80],"mechanisms":[81],"avoid":[83],"local":[84],"optima,":[85],"thereby":[86],"minimizing":[87],"required":[89],"samples.":[90],"Our":[91],"method":[92],"finds":[93],"superior":[94],"up":[99],"2,000":[101],"dimensions,":[102],"whereas":[103],"existing":[104],"approaches":[105],"are":[106],"confined":[107],"100":[109],"dimensions":[110],"need":[112],"considerably":[113],"more":[114],"It":[116],"excels":[117],"across":[118],"varied":[119],"real-world":[120],"systems,":[121],"outperforming":[122],"current":[123],"algorithms":[124],"enabling":[126],"efficient":[127],"knowledge":[128],"Although":[130],"focused":[131],"problems,":[134],"its":[135],"benefits":[136],"extend":[137],"numerous":[139],"quantitative":[140],"fields,":[141],"paving":[142],"way":[144],"for":[145],"advanced":[146],"self-driving":[147],"laboratories.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
