{"id":"https://openalex.org/W3198008017","doi":"https://doi.org/10.1145/3468267.3470616","title":"Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning","display_name":"Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning","publication_year":2021,"publication_date":"2021-07-05","ids":{"openalex":"https://openalex.org/W3198008017","doi":"https://doi.org/10.1145/3468267.3470616","mag":"3198008017"},"language":"en","primary_location":{"id":"doi:10.1145/3468267.3470616","doi":"https://doi.org/10.1145/3468267.3470616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468267.3470616","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468267.3470616","source":{"id":"https://openalex.org/S7407088182","display_name":"Platform for Advanced Scientific Computing Conference (PASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3468267.3470616","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102274309","display_name":"Tsuyoshi Ichimura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Ichimura","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402257","display_name":"Kohei Fujita","orcid":"https://orcid.org/0000-0003-2911-0222","observed_orcids":["https://orcid.org/0000-0003-2911-0222"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Fujita","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108775446","display_name":"Kentaro Koyama","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Koyama","raw_affiliation_strings":["Fujitsu Limited, Nagano, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited, Nagano, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066772286","display_name":"Yuma Kikuchi","orcid":"https://orcid.org/0000-0002-5417-9793","observed_orcids":["https://orcid.org/0000-0002-5417-9793"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuma Kikuchi","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000241873","display_name":"Ryota Kusakabe","orcid":"https://orcid.org/0000-0002-9799-6128","observed_orcids":["https://orcid.org/0000-0002-9799-6128","https://orcid.org/0009-0003-8546-5033"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Kusakabe","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kazuo Minami","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Minami","raw_affiliation_strings":["RIKEN, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Kobe, Japan","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hikaru Inoue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hikaru Inoue","raw_affiliation_strings":["Fujitsu Limited, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038510654","display_name":"Seiya Nishizawa","orcid":"https://orcid.org/0000-0001-9457-7457","observed_orcids":["https://orcid.org/0000-0001-9457-7457"]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiya Nishizawa","raw_affiliation_strings":["RIKEN, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Kobe, Japan","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079973660","display_name":"Miwako Tsuji","orcid":"https://orcid.org/0000-0003-4709-1969","observed_orcids":["https://orcid.org/0000-0003-4709-1969"]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miwako Tsuji","raw_affiliation_strings":["RIKEN, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Kobe, Japan","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069973222","display_name":"Tatsuo Nishiki","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuo Nishiki","raw_affiliation_strings":["Fujitsu Limited, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010899083","display_name":"Muneo Hori","orcid":"https://orcid.org/0000-0002-0642-6753","observed_orcids":["https://orcid.org/0000-0002-0642-6753"]},"institutions":[{"id":"https://openalex.org/I1315852903","display_name":"Japan Agency for Marine-Earth Science and Technology","ror":"https://ror.org/059qg2m13","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1315852903"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Muneo Hori","raw_affiliation_strings":["Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I1315852903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020079438","display_name":"Maddegedara Lalith","orcid":"https://orcid.org/0000-0001-6334-4802","observed_orcids":["https://orcid.org/0000-0001-6334-4802"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lalith Maddegedara","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105268757","display_name":"Naonori Ueda","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naonori Ueda","raw_affiliation_strings":["RIKEN, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210110652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.413,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55526117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.7505000233650208,"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":0.7505000233650208,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.11860000342130661,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.07289999723434448,"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/implicit-solvers","display_name":"implicit solvers","score":0.49799999594688416},{"id":"https://openalex.org/keywords/equation-based-modeling","display_name":"equation-based modeling","score":0.7450000047683716},{"id":"https://openalex.org/keywords/data-driven-learning","display_name":"data-driven learning","score":0.9900000095367432},{"id":"https://openalex.org/keywords/earthquake-simulation","display_name":"earthquake simulation","score":0.6949999928474426},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.527999997138977},{"id":"https://openalex.org/keywords/gpu-acceleration","display_name":"GPU acceleration","score":0.5559999942779541},{"id":"https://openalex.org/keywords/openacc","display_name":"OpenACC","score":0.9929999709129333},{"id":"https://openalex.org/keywords/fugaku","display_name":"Fugaku","score":0.7549999952316284},{"id":"https://openalex.org/keywords/physics-based-simulation","display_name":"physical simulation","score":0.6359999775886536}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.8994108438491821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016332983970642},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7377269268035889},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5884025692939758},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5769302845001221},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5177358984947205},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.49270251393318176},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468267.3470616","doi":"https://doi.org/10.1145/3468267.3470616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468267.3470616","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468267.3470616","source":{"id":"https://openalex.org/S7407088182","display_name":"Platform for Advanced Scientific Computing Conference (PASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3468267.3470616","doi":"https://doi.org/10.1145/3468267.3470616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468267.3470616","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468267.3470616","source":{"id":"https://openalex.org/S7407088182","display_name":"Platform for Advanced Scientific Computing Conference (PASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7699999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2350565776","display_name":null,"funder_award_id":"JP18H05239, JP18H03795, JP17K14719","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2950915793","display_name":"Development of AI methodology with super-computed data for estimating earthquake disaster","funder_award_id":"18K18873","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3101495163","display_name":null,"funder_award_id":"hp190177, hp200126, hp210171","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G48535758","display_name":"Development of crust imaging enhanced by hetero-computing for reducing earthquake disaster","funder_award_id":"18H05239","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5677945322","display_name":"Validation of numerical analysis model for structural seismic response analysis","funder_award_id":"18H03795","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8644101686","display_name":null,"funder_award_id":"hp200126","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198008017.pdf","grobid_xml":"https://content.openalex.org/works/W3198008017.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2032576830","https://openalex.org/W2036502262","https://openalex.org/W2073168606","https://openalex.org/W2078898317","https://openalex.org/W2083279262","https://openalex.org/W2126999002","https://openalex.org/W2463536963","https://openalex.org/W2648400980","https://openalex.org/W2767668491","https://openalex.org/W2784283182","https://openalex.org/W2903376718","https://openalex.org/W2923222994","https://openalex.org/W2935862809","https://openalex.org/W2969620393","https://openalex.org/W2990153558","https://openalex.org/W3036578648","https://openalex.org/W3036589417","https://openalex.org/W3036843651","https://openalex.org/W3095815097","https://openalex.org/W3099803807","https://openalex.org/W3112880575","https://openalex.org/W6756332123"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W3138386522","https://openalex.org/W2499279132","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686"],"abstract_inverted_index":{"We":[0],"developed":[1,71,130,146,179],"a":[2,49,74,82,109,116],"new":[3],"approach":[4,180],"in":[5,115],"converging":[6],"equation-based":[7,30,61],"modeling":[8,31,162],"and":[9,59,163,172,186],"data-driven":[10,22,53,165],"learning":[11,23,54,166],"on":[12,25,135],"high-performance":[13],"computing":[14],"resources":[15],"to":[16,34,87,107,126,148],"accelerate":[17,35],"physics-based":[18],"earthquake":[19,112],"simulations.":[20],"Here,":[21],"based":[24,156,161],"data":[26],"generated":[27],"while":[28],"conducting":[29],"was":[32],"used":[33],"the":[36,68,78,121,129,145,164],"convergence":[37],"process":[38,47],"of":[39,52,67,101,137,154,168,181],"an":[40],"implicit":[41],"low-order":[42],"unstructured":[43],"finite-element":[44],"solver.":[45,124],"This":[46],"involved":[48],"suitable":[50],"combination":[51],"for":[55,63],"estimating":[56,64],"high-frequency":[57],"components":[58,66],"coarsened":[60],"models":[62],"low-frequency":[65],"problem.":[69],"The":[70,159,178],"solver":[72,80],"achieved":[73],"12.8-fold":[75],"speedup":[76],"over":[77],"state-of-art":[79],"with":[81,103,139],"96.4%":[83],"size-up":[84],"scalability":[85],"up":[86],"24,576":[88],"nodes":[89],"(98,304":[90],"MPI":[91],"processes":[92],"\u00d7":[93],"12":[94],"OpenMP":[95],"threads":[96],"=":[97],"1,179,648":[98],"CPU":[99],"cores)":[100],"Fugaku":[102],"126,581,788,413":[104],"degrees-of-freedom,":[105],"leading":[106],"solving":[108],"huge":[110],"city":[111],"shaking":[113],"analysis":[114],"10.1-fold":[117],"shorter":[118],"time":[119],"than":[120],"previous":[122],"state-of-the-art":[123],"Furthermore,":[125],"show":[127],"that":[128],"method":[131,147],"attains":[132],"high":[133],"performance":[134],"variety":[136],"systems":[138,151],"small":[140],"implementation":[141],"costs,":[142],"we":[143],"ported":[144],"recent":[149],"GPU":[150],"by":[152],"use":[153],"directive":[155],"methods":[157],"(OpenACC).":[158],"equation":[160],"are":[167,175,191],"utterly":[169],"different":[170],"characteristics,":[171],"hence":[173],"they":[174],"rarely":[176],"combined.":[177],"combining":[182],"them":[183],"is":[184],"effective,":[185],"remarkable":[187],"results":[188],"mentioned":[189],"above":[190],"achieved.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}