{"id":"https://openalex.org/W7138028650","doi":"https://doi.org/10.1609/aaai.v40i2.37130","title":"MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction","display_name":"MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138028650","doi":"https://doi.org/10.1609/aaai.v40i2.37130"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i2.37130","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37130","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37130/41092","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37130/41092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101787686","display_name":"Qinyi Zhang","orcid":"https://orcid.org/0000-0002-7865-8764"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinyi Zhang","raw_affiliation_strings":["Sichuan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001345589","display_name":"Duanyu Feng","orcid":"https://orcid.org/0000-0002-8288-1002"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanyu Feng","raw_affiliation_strings":["Sichuan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ronghui Han","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Han","raw_affiliation_strings":["Sichuan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129683858","display_name":"Yangshuai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yangshuai Wang","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129641638","display_name":"Hao Henry Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Sichuan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101787686"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09473684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"2","first_page":"1543","last_page":"1551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9925000071525574,"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":0.9925000071525574,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.0012000000569969416,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6577000021934509},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5397999882698059},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5291000008583069},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4984000027179718},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.3901999890804291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667900025844574},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6577000021934509},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5397999882698059},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39719998836517334},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3402000069618225},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i2.37130","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37130","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37130/41092","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i2.37130","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i2.37130","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37130/41092","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6460078358650208,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138028650.pdf","grobid_xml":"https://content.openalex.org/works/W7138028650.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Simulating":[0],"microstructure":[1,85],"evolution":[2,86],"(MicroEvo)":[3],"is":[4],"vital":[5],"for":[6,83,107,186],"materials":[7,195],"design":[8],"but":[9,159],"demands":[10],"high":[11],"numerical":[12,58,119],"accuracy,":[13],"efficiency,":[14],"and":[15,63,95,110,121,156,176,189],"physical":[16,61,133,157],"fidelity.":[17,134],"Although":[18],"recent":[19],"studies":[20,38],"on":[21,57],"deep":[22],"learning":[23],"(DL)":[24],"offers":[25],"a":[26,43,64,125,182],"promising":[27,184],"alternative":[28],"to":[29,42,66,131],"traditional":[30],"solvers,":[31],"the":[32,79,171],"field":[33],"lacks":[34],"standardized":[35],"benchmarks.":[36],"Existing":[37],"are":[39],"flawed":[40],"due":[41],"lack":[44],"of":[45,128,173],"comparing":[46],"specialized":[47],"MicroEvo":[48,101],"DL":[49],"models":[50,192],"with":[51,103,162],"state-of-the-art":[52],"spatio-temporal":[53],"architectures,":[54,97],"an":[55,163],"overemphasis":[56],"accuracy":[59,120],"over":[60,70],"fidelity,":[62],"failure":[65],"analyze":[67],"error":[68],"propagation":[69],"time.":[71],"To":[72],"address":[73],"these":[74,178],"gaps,":[75],"we":[76,143],"introduce":[77],"MicroEvoEval,":[78],"first":[80],"comprehensive":[81],"benchmark":[82],"image-based":[84],"prediction.":[87],"We":[88],"evaluate":[89],"14":[90],"models,":[91],"encompassing":[92],"both":[93,108],"domain-specific":[94],"general-purpose":[96],"across":[98],"four":[99],"representative":[100],"tasks":[102],"datasets":[104],"specifically":[105],"structured":[106],"short-":[109],"long-term":[111,154],"assessment.":[112],"Our":[113,135],"multi-faceted":[114],"evaluation":[115,175],"framework":[116],"goes":[117],"beyond":[118],"computational":[122,166],"cost,":[123],"incorporating":[124],"curated":[126],"set":[127],"structure-preserving":[129],"metrics":[130],"assess":[132],"extensive":[136],"evaluations":[137],"yield":[138],"several":[139],"key":[140],"insights.":[141],"Notably,":[142],"find":[144],"that":[145],"modern":[146,179],"architectures":[147,180],"(e.g.,":[148],"VMamba),":[149],"not":[150],"only":[151],"achieve":[152],"superior":[153],"stability":[155],"fidelity":[158],"also":[160],"operate":[161],"order-of-magnitude":[164],"greater":[165],"efficiency.":[167],"The":[168],"results":[169],"highlight":[170],"necessity":[172],"holistic":[174],"identify":[177],"as":[181],"highly":[183],"direction":[185],"developing":[187],"efficient":[188],"reliable":[190],"surrogate":[191],"in":[193],"data-driven":[194],"science.":[196]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-18T00:00:00"}
