{"id":"https://openalex.org/W4391544150","doi":"https://doi.org/10.1088/2632-2153/ad2626","title":"Deep energy-pressure regression for a thermodynamically consistent EOS model","display_name":"Deep energy-pressure regression for a thermodynamically consistent EOS model","publication_year":2024,"publication_date":"2024-02-05","ids":{"openalex":"https://openalex.org/W4391544150","doi":"https://doi.org/10.1088/2632-2153/ad2626"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad2626","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad2626","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad2626/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad2626/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037976403","display_name":"Dayou Yu","orcid":"https://orcid.org/0009-0002-2373-4907"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dayou Yu","raw_affiliation_strings":["Rochester Institute of Technology, 20 Lomb Memorial Dr, Rochester, NY 14623, Rochester, 14623-5603, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, 20 Lomb Memorial Dr, Rochester, NY 14623, Rochester, 14623-5603, UNITED STATES","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021610018","display_name":"Deep Shankar Pandey","orcid":"https://orcid.org/0009-0006-1404-3716"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deep Shankar Pandey","raw_affiliation_strings":["GCCIS, Rochester Institute of Technology, 20 Lomb Memorial Dr, Rochester, NY 14623, Rochester, 14623-5603, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"GCCIS, Rochester Institute of Technology, 20 Lomb Memorial Dr, Rochester, NY 14623, Rochester, 14623-5603, UNITED STATES","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012771546","display_name":"Joshua Hinz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113689","display_name":"Energetics (United States)","ror":"https://ror.org/01zxfhv73","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113689"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Hinz","raw_affiliation_strings":["University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES","institution_ids":["https://openalex.org/I5388228","https://openalex.org/I4210113689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014118913","display_name":"Deyan Mihaylov","orcid":"https://orcid.org/0000-0002-8874-5503"},"institutions":[{"id":"https://openalex.org/I4210113689","display_name":"Energetics (United States)","ror":"https://ror.org/01zxfhv73","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113689"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deyan Mihaylov","raw_affiliation_strings":["University of Rochester Laboratory for Laser Energetics, 250 east river road, Rochester, New York, 14623-1299, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"University of Rochester Laboratory for Laser Energetics, 250 east river road, Rochester, New York, 14623-1299, UNITED STATES","institution_ids":["https://openalex.org/I5388228","https://openalex.org/I4210113689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074057173","display_name":"Valentin V. Karasiev","orcid":"https://orcid.org/0000-0003-3445-6797"},"institutions":[{"id":"https://openalex.org/I4210113689","display_name":"Energetics (United States)","ror":"https://ror.org/01zxfhv73","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113689"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valentin V Karasiev","raw_affiliation_strings":["University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES","institution_ids":["https://openalex.org/I5388228","https://openalex.org/I4210113689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000028310","display_name":"S. X. Hu","orcid":"https://orcid.org/0000-0003-2465-3818"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S X Hu","raw_affiliation_strings":["Theory Division, University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Theory Division, University of Rochester Laboratory for Laser Energetics, 250 E River Rd, Rochester, NY 14623, Rochester, New York, 14623-1299, UNITED STATES","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081837918","display_name":"Qi Yu","orcid":"https://orcid.org/0000-0002-0426-5407"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qi Yu","raw_affiliation_strings":["School of Information, Rochester Institute of Technology, 152 Lomb Memorial Dr, Rochester, Rochester, New York, 14623-5603, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"School of Information, Rochester Institute of Technology, 152 Lomb Memorial Dr, Rochester, Rochester, New York, 14623-5603, UNITED STATES","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037976403","https://openalex.org/A5081837918"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.5455,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59592419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":"1","first_page":"015031","last_page":"015031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10413","display_name":"High-pressure geophysics and materials","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10413","display_name":"High-pressure geophysics and materials","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11277","display_name":"Thermal properties of materials","score":0.9976000189781189,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.501715898513794},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4767913818359375},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.3926219940185547},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3366459906101227},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33430349826812744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2673797905445099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24495145678520203},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.165444016456604}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.501715898513794},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4767913818359375},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.3926219940185547},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3366459906101227},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33430349826812744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2673797905445099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24495145678520203},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.165444016456604}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1088/2632-2153/ad2626","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad2626","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad2626/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5271bdf845104c05b3198a5c50122220","is_oa":true,"landing_page_url":"https://doaj.org/article/5271bdf845104c05b3198a5c50122220","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 1, p 015031 (2024)","raw_type":"article"},{"id":"pmh:oai:osti.gov:2284010","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2284010","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2309795","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2309795","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2311833","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2311833","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad2626","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad2626","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad2626/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8624433234","display_name":null,"funder_award_id":"DE-NA0003856","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"}],"funders":[{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391544150.pdf"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1666957052","https://openalex.org/W1974259407","https://openalex.org/W2013640190","https://openalex.org/W2060908993","https://openalex.org/W2076118331","https://openalex.org/W2091454806","https://openalex.org/W2158985775","https://openalex.org/W2263789547","https://openalex.org/W2342466907","https://openalex.org/W2558748708","https://openalex.org/W2573864470","https://openalex.org/W2582299673","https://openalex.org/W2605147767","https://openalex.org/W2787931125","https://openalex.org/W2811199191","https://openalex.org/W2870501552","https://openalex.org/W2884775584","https://openalex.org/W2886460943","https://openalex.org/W2886802770","https://openalex.org/W2899283552","https://openalex.org/W2899771611","https://openalex.org/W2908541468","https://openalex.org/W2910096450","https://openalex.org/W2913323966","https://openalex.org/W2913486410","https://openalex.org/W2914520121","https://openalex.org/W2919115771","https://openalex.org/W2955191978","https://openalex.org/W2969144740","https://openalex.org/W2972153210","https://openalex.org/W2979786244","https://openalex.org/W3004450693","https://openalex.org/W3008906732","https://openalex.org/W3011147100","https://openalex.org/W3014468003","https://openalex.org/W3028529071","https://openalex.org/W3047501190","https://openalex.org/W3091517338","https://openalex.org/W3092923133","https://openalex.org/W3093190107","https://openalex.org/W3101009792","https://openalex.org/W3102845444","https://openalex.org/W3116268267","https://openalex.org/W3129530645","https://openalex.org/W3163993681","https://openalex.org/W3198860884","https://openalex.org/W3206761318","https://openalex.org/W3216107495","https://openalex.org/W4210517898","https://openalex.org/W4213388337","https://openalex.org/W4283827970","https://openalex.org/W4289763970","https://openalex.org/W4306923104","https://openalex.org/W4324143588","https://openalex.org/W6735443497","https://openalex.org/W6744580074","https://openalex.org/W6752040014","https://openalex.org/W6756040250","https://openalex.org/W6759134542","https://openalex.org/W6774375107","https://openalex.org/W6784227514","https://openalex.org/W6839447435"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,143],"paper,":[3],"we":[4,145],"aim":[5],"to":[6,13,36,52,64,116,122,136,160,190,201,227],"explore":[7],"novel":[8],"machine":[9],"learning":[10],"(ML)":[11],"techniques":[12],"facilitate":[14],"and":[15,60,90,132,221],"accelerate":[16],"the":[17,79,106,110,129,162,218,222],"construction":[18],"of":[19,56,75,87,125,134,217],"universal":[20,39],"equation-Of-State":[21],"(EOS)":[22],"models":[23],"with":[24,165,194],"a":[25,38,48,73,99,147,157,166,176],"high":[26,49,167],"accuracy":[27,51,80,168],"while":[28,98],"ensuring":[29],"important":[30,66,138,230],"thermodynamic":[31,139,205],"consistency.":[32],"When":[33],"applying":[34],"ML":[35],"fit":[37,105,216],"EOS":[40,107,219],"model,":[41],"there":[42],"are":[43,208,225],"two":[44],"key":[45],"requirements:":[46],"(1)":[47],"prediction":[50,126,196],"ensure":[53],"precise":[54],"estimation":[55],"relevant":[57],"physics":[58],"properties":[59],"(2)":[61],"physical":[62],"interpretability":[63],"support":[65],"physics-related":[67,231],"downstream":[68],"applications.":[69],"We":[70,95,173],"first":[71],"identify":[72],"set":[74],"fundamental":[76],"challenges":[77],"from":[78],"perspective,":[81],"including":[82],"an":[83,214],"extremely":[84],"wide":[85],"range":[86,131],"input/output":[88],"space":[89],"highly":[91],"sparse":[92],"training":[93,130,171],"data.":[94,172],"demonstrate":[96],"that":[97,152,203],"neural":[100],"network":[101],"(NN)":[102],"model":[103,151,192],"may":[104],"data":[108],"well,":[109],"black-box":[111],"nature":[112],"makes":[113],"it":[114],"difficult":[115],"provide":[117],"physically":[118],"interpretable":[119],"results,":[120],"leading":[121],"weak":[123],"accountability":[124],"results":[127,212],"outside":[128],"lack":[133],"guarantee":[135],"meet":[137],"consistency":[140,206],"constraints.":[141],"To":[142],"end,":[144],"propose":[146],"principled":[148],"deep":[149],"regression":[150],"can":[153],"be":[154],"trained":[155],"following":[156],"meta-learning":[158],"style":[159],"predict":[161],"desired":[163],"quantities":[164],"using":[169],"scarce":[170],"further":[174],"introduce":[175],"uniquely":[177],"designed":[178],"kernel-based":[179],"regularizer":[180],"for":[181,229],"accurate":[182],"uncertainty":[183],"quantification.":[184],"An":[185],"ensemble":[186],"technique":[187],"is":[188,199],"leveraged":[189],"battle":[191],"overfitting":[193],"improved":[195],"stability.":[197],"Auto-differentiation":[198],"conducted":[200],"verify":[202],"necessary":[204],"conditions":[207],"maintained.":[209],"Our":[210],"evaluation":[211],"show":[213],"excellent":[215],"table":[220],"predicted":[223],"values":[224],"ready":[226],"use":[228],"tasks.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}