{"id":"https://openalex.org/W4409729665","doi":"https://doi.org/10.1038/s42256-025-01010-0","title":"Optimal transport for generating transition states in chemical reactions","display_name":"Optimal transport for generating transition states in chemical reactions","publication_year":2025,"publication_date":"2025-04-23","ids":{"openalex":"https://openalex.org/W4409729665","doi":"https://doi.org/10.1038/s42256-025-01010-0"},"language":"en","primary_location":{"id":"doi:10.1038/s42256-025-01010-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s42256-025-01010-0","pdf_url":null,"source":{"id":"https://openalex.org/S2912241403","display_name":"Nature Machine Intelligence","issn_l":"2522-5839","issn":["2522-5839"],"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 Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1038/s42256-025-01010-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029457626","display_name":"Chenru Duan","orcid":"https://orcid.org/0000-0003-2592-4237"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I3192341777","display_name":"Center for Effective Philanthropy","ror":"https://ror.org/04ngqe873","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3192341777"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Chenru Duan","raw_affiliation_strings":["Deep Principle, Cambridge, MA, USA","Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","Frontiers Science Center for Transformative Molecules, School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2592-4237","affiliations":[{"raw_affiliation_string":"Deep Principle, Cambridge, MA, USA","institution_ids":["https://openalex.org/I3192341777"]},{"raw_affiliation_string":"Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Frontiers Science Center for Transformative Molecules, School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031381142","display_name":"Guan-Horng Liu","orcid":"https://orcid.org/0000-0002-8989-7568"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guan-Horng Liu","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8989-7568","affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006709853","display_name":"Yuanqi Du","orcid":"https://orcid.org/0000-0003-2988-0374"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanqi Du","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-2988-0374","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087793625","display_name":"Tianrong Chen","orcid":"https://orcid.org/0000-0003-1701-2991"},"institutions":[{"id":"https://openalex.org/I96163493","display_name":"University of Atlanta","ror":"https://ror.org/04e2ah412","country_code":"US","type":"education","lineage":["https://openalex.org/I96163493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianrong Chen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Atlanta, GA, USA","institution_ids":["https://openalex.org/I96163493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101341245","display_name":"Qiyuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I3192341777","display_name":"Center for Effective Philanthropy","ror":"https://ror.org/04ngqe873","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3192341777"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiyuan Zhao","raw_affiliation_strings":["Deep Principle, Cambridge, MA, USA","Department of Medicinal Chemistry, College of Pharmacy, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deep Principle, Cambridge, MA, USA","institution_ids":["https://openalex.org/I3192341777"]},{"raw_affiliation_string":"Department of Medicinal Chemistry, College of Pharmacy, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034971788","display_name":"Haojun Jia","orcid":"https://orcid.org/0000-0002-9435-2589"},"institutions":[{"id":"https://openalex.org/I3192341777","display_name":"Center for Effective Philanthropy","ror":"https://ror.org/04ngqe873","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3192341777"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haojun Jia","raw_affiliation_strings":["Deep Principle, Cambridge, MA, USA","Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deep Principle, Cambridge, MA, USA","institution_ids":["https://openalex.org/I3192341777"]},{"raw_affiliation_string":"Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069030030","display_name":"Carla P. Gomes","orcid":"https://orcid.org/0000-0002-4441-7225"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carla P. Gomes","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4441-7225","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044505993","display_name":"Evangelos A. Theodorou","orcid":"https://orcid.org/0000-0002-0834-5738"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos A. Theodorou","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050671822","display_name":"Heather J. Kulik","orcid":"https://orcid.org/0000-0001-9342-0191"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heather J. Kulik","raw_affiliation_strings":["Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9342-0191","affiliations":[{"raw_affiliation_string":"Department of Chemistry, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5029457626"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I3192341777","https://openalex.org/I63966007"],"apc_list":{"value":9750,"currency":"EUR","value_usd":11690},"apc_paid":{"value":9750,"currency":"EUR","value_usd":11690},"fwci":10.556,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9891947,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"615","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9993000030517578,"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":0.9993000030517578,"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/T10002","display_name":"Advanced Chemical Physics Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9897000193595886,"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/transition","display_name":"Transition (genetics)","score":0.5490914583206177},{"id":"https://openalex.org/keywords/chemical-physics","display_name":"Chemical physics","score":0.36484718322753906},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.32653921842575073},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.3179027736186981},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2894601821899414}],"concepts":[{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5490914583206177},{"id":"https://openalex.org/C159467904","wikidata":"https://www.wikidata.org/wiki/Q2001702","display_name":"Chemical physics","level":1,"score":0.36484718322753906},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.32653921842575073},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3179027736186981},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2894601821899414},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1038/s42256-025-01010-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s42256-025-01010-0","pdf_url":null,"source":{"id":"https://openalex.org/S2912241403","display_name":"Nature Machine Intelligence","issn_l":"2522-5839","issn":["2522-5839"],"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 Machine Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/162652","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/162652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Springer Science and Business Media LLC","raw_type":"http://purl.org/eprint/type/JournalArticle"}],"best_oa_location":{"id":"doi:10.1038/s42256-025-01010-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s42256-025-01010-0","pdf_url":null,"source":{"id":"https://openalex.org/S2912241403","display_name":"Nature Machine Intelligence","issn_l":"2522-5839","issn":["2522-5839"],"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 Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5618952663","display_name":null,"funder_award_id":"CBET-1846426","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6995042427","display_name":null,"funder_award_id":"N00014-20-1-2150","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8037946015","display_name":null,"funder_award_id":"HQ00342110002","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1596185498","https://openalex.org/W1985506636","https://openalex.org/W1986614779","https://openalex.org/W1992985800","https://openalex.org/W2000798385","https://openalex.org/W2025396755","https://openalex.org/W2027611895","https://openalex.org/W2058363175","https://openalex.org/W2060526630","https://openalex.org/W2065251521","https://openalex.org/W2069127016","https://openalex.org/W2080635178","https://openalex.org/W2094797643","https://openalex.org/W2109455667","https://openalex.org/W2113830115","https://openalex.org/W2114704115","https://openalex.org/W2122427541","https://openalex.org/W2158323088","https://openalex.org/W2324747868","https://openalex.org/W2585152223","https://openalex.org/W2639728117","https://openalex.org/W2770447879","https://openalex.org/W2778627621","https://openalex.org/W2898058922","https://openalex.org/W2911997094","https://openalex.org/W2955329763","https://openalex.org/W2977953554","https://openalex.org/W2995031011","https://openalex.org/W3008606298","https://openalex.org/W3013857270","https://openalex.org/W3021539081","https://openalex.org/W3035559885","https://openalex.org/W3087257671","https://openalex.org/W3092617600","https://openalex.org/W3103339982","https://openalex.org/W3103689700","https://openalex.org/W3110257065","https://openalex.org/W3132189756","https://openalex.org/W3158402740","https://openalex.org/W3177590463","https://openalex.org/W3181257149","https://openalex.org/W3185836256","https://openalex.org/W3214180234","https://openalex.org/W4225269197","https://openalex.org/W4225760778","https://openalex.org/W4233762729","https://openalex.org/W4284667229","https://openalex.org/W4294957924","https://openalex.org/W4298125158","https://openalex.org/W4308917845","https://openalex.org/W4312119492","https://openalex.org/W4312192678","https://openalex.org/W4312497550","https://openalex.org/W4315631504","https://openalex.org/W4318071628","https://openalex.org/W4319299352","https://openalex.org/W4321085451","https://openalex.org/W4322733070","https://openalex.org/W4327900113","https://openalex.org/W4365441072","https://openalex.org/W4377093912","https://openalex.org/W4388500008","https://openalex.org/W4388694374","https://openalex.org/W4389407755","https://openalex.org/W4389760799","https://openalex.org/W4389786948","https://openalex.org/W4390640165","https://openalex.org/W4392553098","https://openalex.org/W4393031108","https://openalex.org/W4393263600","https://openalex.org/W4403365197","https://openalex.org/W4403382065","https://openalex.org/W4405574099","https://openalex.org/W6849474789","https://openalex.org/W6850392633","https://openalex.org/W6911952693","https://openalex.org/W6939373967","https://openalex.org/W6968172273"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W2948807893","https://openalex.org/W2899084033","https://openalex.org/W2778153218","https://openalex.org/W2748952813","https://openalex.org/W1531601525","https://openalex.org/W4391375266","https://openalex.org/W2078814861","https://openalex.org/W2527526854","https://openalex.org/W1976181487"],"abstract_inverted_index":{"Abstract":[0],"Transition":[1],"states":[2],"(TSs)":[3],"are":[4,8,124],"transient":[5],"structures":[6,77,87],"that":[7,148],"key":[9],"to":[10,19,29],"understanding":[11],"reaction":[12,60,63,136],"mechanisms":[13],"and":[14,80,99,120,152],"designing":[15],"catalysts":[16],"but":[17],"challenging":[18],"capture":[20],"in":[21,57],"experiments.":[22],"Many":[23],"optimization":[24],"algorithms":[25,39],"have":[26],"been":[27],"developed":[28,67],"search":[30,168],"for":[31,54,62,73],"TSs":[32],"computationally.":[33],"Yet,":[34],"the":[35,149,164,174],"cost":[36],"of":[37,96,104,143,155,176],"these":[38],"driven":[40],"by":[41,127],"quantum":[42],"chemistry":[43],"methods":[44],"(usually":[45],"density":[46],"functional":[47],"theory)":[48],"is":[49],"still":[50],"high,":[51],"posing":[52],"challenges":[53],"their":[55],"applications":[56],"building":[58],"large":[59,135],"networks":[61],"exploration.":[64],"Here":[65],"we":[66],"React-OT,":[68],"an":[69],"optimal":[70],"transport":[71],"approach":[72],"generating":[74],"unique":[75],"TS":[76,86,167],"from":[78],"reactants":[79],"products.":[81],"React-OT":[82,132,156],"generates":[83],"highly":[84,159],"accurate":[85],"with":[88,139,163,179],"a":[89,134,140],"median":[90,100],"structural":[91],"root":[92,116],"mean":[93,117],"square":[94,118],"deviation":[95,119],"0.053":[97],"\u212b":[98],"barrier":[101,121],"height":[102,122],"error":[103,123],"1.06":[105],"kcal":[106],"mol":[107],"\u22121":[108],"requiring":[109],"only":[110],"0.4":[111],"s":[112],"per":[113],"reaction.":[114],"The":[115],"further":[125],"improved":[126],"roughly":[128],"25%":[129],"through":[130],"pretraining":[131],"on":[133],"dataset":[137],"obtained":[138],"lower":[141],"level":[142],"theory,":[144],"GFN2-xTB.":[145],"We":[146],"envision":[147],"remarkable":[150],"accuracy":[151],"rapid":[153],"inference":[154],"will":[157,172],"be":[158],"useful":[160],"when":[161],"integrated":[162],"current":[165],"high-throughput":[166],"workflow.":[169],"This":[170],"integration":[171],"facilitate":[173],"exploration":[175],"chemical":[177],"reactions":[178],"unknown":[180],"mechanisms.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":12}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}