{"id":"https://openalex.org/W4411600330","doi":"https://doi.org/10.1109/cec65147.2025.11042916","title":"A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design","display_name":"A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600330","doi":"https://doi.org/10.1109/cec65147.2025.11042916"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11042916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042237267","display_name":"Chen Cheng","orcid":"https://orcid.org/0000-0002-8992-2380"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Computing,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Computing,Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025109812","display_name":"Haokai Hong","orcid":"https://orcid.org/0000-0002-3982-8978"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haokai Hong","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046176565","display_name":"Wanyu Lin","orcid":"https://orcid.org/0000-0002-7328-8039"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Lin","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Data Science and Artificial Intelligence,Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19977307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5228295922279358},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.41701456904411316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1830112636089325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5228295922279358},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.41701456904411316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1830112636089325}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11042916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2112845989","https://openalex.org/W2117502083","https://openalex.org/W2163345210","https://openalex.org/W2176516200","https://openalex.org/W2770581177","https://openalex.org/W2883583109","https://openalex.org/W2884430236","https://openalex.org/W3027186203","https://openalex.org/W3037258640","https://openalex.org/W3041603413","https://openalex.org/W3082575732","https://openalex.org/W3087474410","https://openalex.org/W3096831136","https://openalex.org/W3120732119","https://openalex.org/W3192953411","https://openalex.org/W4226198073","https://openalex.org/W4318486595","https://openalex.org/W4360976356","https://openalex.org/W4387773219","https://openalex.org/W4389132715","https://openalex.org/W4389132751","https://openalex.org/W4390493186","https://openalex.org/W4401415386","https://openalex.org/W4402811201","https://openalex.org/W6631460888","https://openalex.org/W6640963894","https://openalex.org/W6654265642","https://openalex.org/W6768893377","https://openalex.org/W6793734565","https://openalex.org/W6803041894","https://openalex.org/W6804013159","https://openalex.org/W6849194671"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,168],"design":[1,63,113,138],"of":[2,7,35,86,102,114,124,140,155,175],"new":[3,64],"crystal":[4,24,65,103,115,184],"materials":[5,66],"is":[6,42],"significant":[8],"scientific":[9],"importance":[10],"to":[11,44,90,110,118,135,147],"society.":[12],"In":[13],"recent":[14],"years,":[15],"machine":[16],"learning-based":[17],"approaches":[18],"have":[19],"shown":[20],"their":[21,28],"potential":[22,174],"in":[23,46,183],"material":[25,185],"design.":[26,186],"However,":[27],"effectiveness":[29],"relies":[30],"heavily":[31],"on":[32],"the":[33,68,84,97,111,120,137,149,153,172,176],"availability":[34],"high-quality":[36],"and":[37,100,164],"extensive":[38,71],"training":[39],"data,":[40],"which":[41],"difficult":[43],"collect":[45],"practice.":[47],"To":[48],"this":[49,51],"end,":[50],"paper":[52],"presents":[53],"a":[54,77,129],"novel":[55,78],"physics-informed":[56,79,130,178],"evolutionary":[57,88,125,131,180],"transfer":[58,132],"optimization":[59,89,122,133,181],"framework":[60,182],"that":[61],"can":[62],"without":[67],"need":[69],"for":[70,81],"data.":[72],"Specifically,":[73],"we":[74,127],"first":[75],"propose":[76,128],"encoding":[80],"materials,":[82],"enabling":[83],"use":[85],"multi-objective":[87,179],"simultaneously":[91],"optimize":[92],"multiple":[93],"physical":[94,106],"objectives,":[95],"including":[96],"validity,":[98,156],"properties,":[99],"energy":[101,165],"materials.":[104,116,142],"These":[105],"objectives":[107],"are":[108],"critical":[109],"effective":[112],"Additionally,":[117],"mitigate":[119],"slow":[121],"speed":[123,139],"computation,":[126],"technique":[134],"enhance":[136],"optimized":[141],"We":[143],"conducted":[144],"comprehensive":[145],"experiments":[146],"analyze":[148],"designed":[150],"crystals":[151],"from":[152],"perspectives":[154],"density":[157],"functional":[158],"theory":[159],"(DFT)":[160],"validation,":[161],"formation":[162],"energy,":[163],"above":[166],"hull.":[167],"experimental":[169],"results":[170],"validate":[171],"immense":[173],"proposed":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}