{"id":"https://openalex.org/W4415465131","doi":"https://doi.org/10.1142/s0218001425510346","title":"Elegant: Leveraging Large Language Models for Enhanced Electrical Engineering Design","display_name":"Elegant: Leveraging Large Language Models for Enhanced Electrical Engineering Design","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415465131","doi":"https://doi.org/10.1142/s0218001425510346"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425510346","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425510346","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Feng Lan","orcid":"https://orcid.org/0009-0007-4232-7035"},"institutions":[{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Feng Lan","raw_affiliation_strings":["Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0007-4232-7035","affiliations":[{"raw_affiliation_string":"Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210137797"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinghe Zhang","orcid":"https://orcid.org/0009-0003-2603-6909"},"institutions":[{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Jinghe Zhang","raw_affiliation_strings":["Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0003-2603-6909","affiliations":[{"raw_affiliation_string":"Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210137797"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuwei Li","orcid":"https://orcid.org/0009-0005-5847-6188"},"institutions":[{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Yuwei Li","raw_affiliation_strings":["Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0005-5847-6188","affiliations":[{"raw_affiliation_string":"Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210137797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057159244","display_name":"Mingshu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095546","display_name":"Tsinghua Sichuan Energy Internet Research Institute","ror":"https://ror.org/00pkx4k51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095546"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingshu Zhao","raw_affiliation_strings":["Institute of Energy Sensing and Information, Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0001-9447-9512","affiliations":[{"raw_affiliation_string":"Institute of Energy Sensing and Information, Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210095546"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yi Luo","orcid":"https://orcid.org/0000-0003-2527-0229"},"institutions":[{"id":"https://openalex.org/I4210095546","display_name":"Tsinghua Sichuan Energy Internet Research Institute","ror":"https://ror.org/00pkx4k51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095546"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Luo","raw_affiliation_strings":["Institute of Energy Sensing and Information, Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0003-2527-0229","affiliations":[{"raw_affiliation_string":"Institute of Energy Sensing and Information, Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210095546"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15166034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.867900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.867900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/workflow","display_name":"Workflow","score":0.6597999930381775},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5807999968528748},{"id":"https://openalex.org/keywords/schematic","display_name":"Schematic","score":0.5275999903678894},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.5214999914169312},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4399999976158142},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.43709999322891235},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.43619999289512634},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4268999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401999831199646},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6597999930381775},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C192328126","wikidata":"https://www.wikidata.org/wiki/Q4514647","display_name":"Schematic","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.5214999914169312},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4399999976158142},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42730000615119934},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C205976826","wikidata":"https://www.wikidata.org/wiki/Q5157390","display_name":"Computer-automated design","level":3,"score":0.4185999929904938},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.3822000026702881},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3804999887943268},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C49777639","wikidata":"https://www.wikidata.org/wiki/Q5264354","display_name":"Design language","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C196796808","wikidata":"https://www.wikidata.org/wiki/Q132629","display_name":"Electrical network","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C146054899","wikidata":"https://www.wikidata.org/wiki/Q181156","display_name":"Software design pattern","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C179737136","wikidata":"https://www.wikidata.org/wiki/Q5264382","display_name":"Design technology","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C94922259","wikidata":"https://www.wikidata.org/wiki/Q33215","display_name":"Constructed language","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C154205457","wikidata":"https://www.wikidata.org/wiki/Q2148377","display_name":"Probabilistic design","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425510346","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425510346","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4051507213","display_name":null,"funder_award_id":"5200-202356472A-3-2-ZN","funder_id":"https://openalex.org/F4320335967","funder_display_name":"Science and Technology Project of State Grid"}],"funders":[{"id":"https://openalex.org/F4320335967","display_name":"Science and Technology Project of State Grid","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2016323804","https://openalex.org/W2784241156","https://openalex.org/W2947423323","https://openalex.org/W2963926728","https://openalex.org/W3156335941","https://openalex.org/W3171752851","https://openalex.org/W3200354549","https://openalex.org/W4389104929","https://openalex.org/W4389619140","https://openalex.org/W4392044798","https://openalex.org/W4394850443","https://openalex.org/W4405718102","https://openalex.org/W4408355277","https://openalex.org/W4408982754","https://openalex.org/W4408985674","https://openalex.org/W4410949818","https://openalex.org/W4411867198","https://openalex.org/W4412171604"],"related_works":[],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,30,66,163,185,196],"artificial":[3],"intelligence":[4],"into":[5],"engineering":[6,25,130,154,167,203],"workflows":[7],"has":[8],"opened":[9],"new":[10],"frontiers":[11],"for":[12],"design":[13,53,99,107,148,173,186,204],"automation":[14],"and":[15,42,74,97,109,140,146,156,188,200],"innovation.":[16],"This":[17,101,190],"paper":[18],"explores":[19],"an":[20,113],"AI-driven":[21,122],"approach":[22,179],"to":[23,38,61,103,159],"electrical":[24,67,166,202],"design,":[26,68],"leveraging":[27],"the":[28,161,193],"capabilities":[29],"large":[31],"language":[32,87,127],"models":[33],"(LLMs)":[34],"such":[35],"as":[36],"GPT-4":[37],"enhance":[39],"both":[40],"accuracy":[41],"efficiency.":[43],"We":[44,150],"propose":[45],"a":[46,84],"novel":[47],"framework":[48],"named":[49],"ELEGANT":[50,81],"(Electrical":[51],"Engineering":[52],"Assisted":[54],"by":[55],"Natural-language":[56],"Transformers),":[57],"which":[58],"utilizes":[59],"LLMs":[60,164,197],"assist":[62],"in":[63,106,165,183,198],"key":[64],"stages":[65],"including":[69],"schematic":[70],"generation,":[71],"component":[72],"selection,":[73],"simulation":[75,93],"parameter":[76],"tuning.":[77],"Unlike":[78],"existing":[79],"approaches,":[80],"uniquely":[82],"integrates":[83],"multi-stage":[85],"natural":[86,126],"prompt":[88,153],"parsing":[89],"with":[90,121,129],"domain-specific":[91,157],"circuit":[92],"feedback,":[94],"enabling":[95],"adaptive":[96],"precise":[98],"automation.":[100],"leads":[102],"significant":[104],"improvements":[105],"speed":[108,187],"accuracy,":[110],"while":[111],"providing":[112],"intuitive":[114,135],"user":[115],"experience":[116],"that":[117,176],"bridges":[118],"human":[119,138],"intent":[120],"execution.":[123],"By":[124],"aligning":[125],"prompts":[128],"intent,":[131],"our":[132,177],"method":[133],"enables":[134],"interaction":[136],"between":[137],"designers":[139],"AI":[141],"systems,":[142],"facilitating":[143],"faster":[144],"iteration":[145],"reduced":[147],"errors.":[149],"further":[151],"introduce":[152],"techniques":[155],"adaptations":[158],"improve":[160],"performance":[162],"tasks.":[168],"Experimental":[169],"results":[170],"on":[171],"several":[172],"scenarios":[174],"demonstrate":[175],"AI-assisted":[178],"outperforms":[180],"traditional":[181],"methods":[182],"terms":[184],"correctness.":[189],"work":[191],"highlights":[192],"transformative":[194],"potential":[195],"accelerating":[199],"augmenting":[201],"processes.":[205]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-23T00:00:00"}
