{"id":"https://openalex.org/W7134977858","doi":"https://doi.org/10.1109/icdmw69685.2025.00411","title":"MetaRef: A Generalizable Physics-Aware Refinement Framework for Metamaterial Design","display_name":"MetaRef: A Generalizable Physics-Aware Refinement Framework for Metamaterial Design","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134977858","doi":"https://doi.org/10.1109/icdmw69685.2025.00411"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},"type":"article","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/A5110647773","display_name":"Aifeng L\u0171","orcid":"https://orcid.org/0009-0003-4884-7841"},"institutions":[{"id":"https://openalex.org/I188017875","display_name":"Thomas Jefferson School of Law","ror":"https://ror.org/0012pft53","country_code":"US","type":"education","lineage":["https://openalex.org/I188017875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Lu","raw_affiliation_strings":["Thomas Jefferson High School for Science and Technology,Alexandria,USA"],"affiliations":[{"raw_affiliation_string":"Thomas Jefferson High School for Science and Technology,Alexandria,USA","institution_ids":["https://openalex.org/I188017875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128767031","display_name":"Wangzhi Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wangzhi Zhan","raw_affiliation_strings":["Virginia Tech, Blacksburg,Department of Computer Science,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg,Department of Computer Science,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017215106","display_name":"Jianpeng Chen","orcid":"https://orcid.org/0000-0001-7599-9961"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianpeng Chen","raw_affiliation_strings":["Virginia Tech, Blacksburg,Department of Computer Science,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg,Department of Computer Science,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dawei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawei Zhou","raw_affiliation_strings":["Virginia Tech, Blacksburg,Department of Computer Science,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg,Department of Computer Science,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110647773"],"corresponding_institution_ids":["https://openalex.org/I188017875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50112191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3107","last_page":"3111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.36250001192092896,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"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/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.36250001192092896,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.05979999899864197,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.028699999675154686,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/key","display_name":"Key (lock)","score":0.29739999771118164},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.27469998598098755},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.26829999685287476},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.2630999982357025},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.2531999945640564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529000163078308},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.24609999358654022},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.24160000681877136}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2015197254","https://openalex.org/W2070161878","https://openalex.org/W2291084434","https://openalex.org/W2601081289","https://openalex.org/W3049148004","https://openalex.org/W3090752220","https://openalex.org/W3128778289","https://openalex.org/W3152836822","https://openalex.org/W3209110200","https://openalex.org/W4385394912","https://openalex.org/W4387044350","https://openalex.org/W4393023502","https://openalex.org/W4402602577","https://openalex.org/W4405114187","https://openalex.org/W4412875455","https://openalex.org/W7133197796"],"related_works":[],"abstract_inverted_index":{"Machine-generated":[0],"metamaterials":[1],"frequently":[2],"suffer":[3],"from":[4,80],"geometric":[5],"defects,":[6],"including":[7,50,84],"imperfect":[8],"symmetry,":[9,92],"low":[10],"periodicity,":[11,93],"weak":[12],"connectivity,":[13],"and":[14,20,53,87,89,94,103,113],"dangling":[15],"nodes,":[16],"that":[17,107],"hinder":[18],"manufacturability":[19],"degrade":[21],"physical":[22,74],"performance.":[23],"In":[24],"this":[25,63],"work,":[26],"we":[27],"introduce":[28],"MetaRef,":[29],"a":[30,117],"two-stage":[31],"physical-aware":[32],"refinement":[33],"framework":[34],"designed":[35],"to":[36,66],"address":[37],"these":[38],"challenges.":[39],"The":[40,55],"first":[41],"stage,":[42,57],"the":[43,58,68],"Lattice":[44],"Sensor":[45],"(LS),":[46],"extracts":[47],"lattice-scale":[48],"information":[49,65],"orientation,":[51],"scale,":[52],"periodicity.":[54],"second":[56],"Physics-Aware":[59],"Refiner":[60],"(PAR),":[61],"leverages":[62],"lattice":[64],"modify":[67],"metamaterial's":[69],"structure":[70],"while":[71],"preserving":[72],"its":[73],"plausibility.":[75],"MetaRef":[76,108],"can":[77],"process":[78],"outputs":[79],"diverse":[81],"generative":[82],"models,":[83],"CDVAE,":[85],"EDM,":[86],"GeoLDM,":[88],"significantly":[90],"improves":[91],"connectivity":[95],"of":[96],"generated":[97],"metamaterials.":[98,123],"Extensive":[99],"experiments,":[100],"ablation":[101],"studies,":[102],"case":[104],"analyses":[105],"demonstrated":[106],"produces":[109],"more":[110],"geometrically":[111],"regular":[112],"fabrication-ready":[114],"structures,":[115],"providing":[116],"practical":[118],"pathway":[119],"toward":[120],"high-quality,":[121],"machine-generated":[122]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-03-12T00:00:00"}