{"id":"https://openalex.org/W4413966978","doi":"https://doi.org/10.1109/access.2025.3605856","title":"A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation","display_name":"A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413966978","doi":"https://doi.org/10.1109/access.2025.3605856"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3605856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3605856","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3605856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019725091","display_name":"Kazi Mohammad Mamun","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kazi Mohammad Mamun","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0009-0008-7520-1807","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557438","display_name":"Nezih Pala","orcid":"https://orcid.org/0000-0001-6136-9811"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nezih Pala","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-6136-9811","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081791407","display_name":"Mst Shamim Ara Shawkat","orcid":"https://orcid.org/0000-0003-4823-4562"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mst Shamim Ara Shawkat","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-4823-4562","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.5515,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95013662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"162969","last_page":"162991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.8529999852180481,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.8529999852180481,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7005468010902405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4531165063381195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40363091230392456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005468010902405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4531165063381195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40363091230392456}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3605856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3605856","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:24aa574f63044150a994aef7dadf9290","is_oa":true,"landing_page_url":"https://doaj.org/article/24aa574f63044150a994aef7dadf9290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 162969-162991 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3605856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3605856","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":109,"referenced_works":["https://openalex.org/W191628927","https://openalex.org/W1536879103","https://openalex.org/W1537614317","https://openalex.org/W1599186886","https://openalex.org/W1901616594","https://openalex.org/W1974191529","https://openalex.org/W1975064622","https://openalex.org/W1982756257","https://openalex.org/W1987552279","https://openalex.org/W2038087740","https://openalex.org/W2043474845","https://openalex.org/W2064314320","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2079826846","https://openalex.org/W2109628770","https://openalex.org/W2149374346","https://openalex.org/W2157764301","https://openalex.org/W2295598076","https://openalex.org/W2560467685","https://openalex.org/W2570349834","https://openalex.org/W2570984351","https://openalex.org/W2604938527","https://openalex.org/W2899283552","https://openalex.org/W2909431601","https://openalex.org/W2942086529","https://openalex.org/W2948230027","https://openalex.org/W2952732400","https://openalex.org/W2953099180","https://openalex.org/W2964573196","https://openalex.org/W2969381807","https://openalex.org/W2972187577","https://openalex.org/W3010849941","https://openalex.org/W3014468003","https://openalex.org/W3041682155","https://openalex.org/W3078521982","https://openalex.org/W3092640683","https://openalex.org/W3094782646","https://openalex.org/W3095397994","https://openalex.org/W3106842818","https://openalex.org/W3107336837","https://openalex.org/W3110873423","https://openalex.org/W3124031675","https://openalex.org/W3138069644","https://openalex.org/W3147650139","https://openalex.org/W3157393902","https://openalex.org/W3160369771","https://openalex.org/W3162877836","https://openalex.org/W3163993681","https://openalex.org/W3170461766","https://openalex.org/W3176929032","https://openalex.org/W3201823653","https://openalex.org/W3204507706","https://openalex.org/W4205646721","https://openalex.org/W4205708461","https://openalex.org/W4206003267","https://openalex.org/W4206535736","https://openalex.org/W4210341450","https://openalex.org/W4212863985","https://openalex.org/W4226073040","https://openalex.org/W4244114403","https://openalex.org/W4256060553","https://openalex.org/W4282006100","https://openalex.org/W4282043051","https://openalex.org/W4285058279","https://openalex.org/W4285174853","https://openalex.org/W4286470482","https://openalex.org/W4286581929","https://openalex.org/W4293649366","https://openalex.org/W4294151506","https://openalex.org/W4297230907","https://openalex.org/W4298132033","https://openalex.org/W4308479824","https://openalex.org/W4312875279","https://openalex.org/W4312888375","https://openalex.org/W4313052839","https://openalex.org/W4315783291","https://openalex.org/W4319317449","https://openalex.org/W4321381180","https://openalex.org/W4321488298","https://openalex.org/W4323545743","https://openalex.org/W4375809599","https://openalex.org/W4375853879","https://openalex.org/W4375853889","https://openalex.org/W4378192013","https://openalex.org/W4378676378","https://openalex.org/W4379141442","https://openalex.org/W4380143026","https://openalex.org/W4380303646","https://openalex.org/W4385191490","https://openalex.org/W4386282408","https://openalex.org/W4386414649","https://openalex.org/W4387319174","https://openalex.org/W4388019119","https://openalex.org/W4391382534","https://openalex.org/W4393973192","https://openalex.org/W4394770104","https://openalex.org/W4396833032","https://openalex.org/W4396977589","https://openalex.org/W4399206337","https://openalex.org/W4399206415","https://openalex.org/W4399487140","https://openalex.org/W4400134761","https://openalex.org/W4400726485","https://openalex.org/W4403839911","https://openalex.org/W4407574781","https://openalex.org/W4409796220","https://openalex.org/W4410886361","https://openalex.org/W4411555748"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Application":[0],"of":[1,13,25,39,83,105,109],"machine":[2,177],"learning":[3,121,178],"(ML)":[4],"approaches":[5,111,149],"has":[6],"recently":[7],"expanded":[8],"within":[9],"a":[10,36,98,106],"wide":[11,107],"range":[12],"domains,":[14],"including":[15,117],"semiconductor":[16,28,45,77,183],"devices.":[17,78,184],"Their":[18],"strong":[19],"potential":[20],"resulted":[21],"in":[22,27,97,112,137,150,175],"increasing":[23],"number":[24],"research":[26,42],"device":[29,46,57,88,113,138,151],"modeling":[30,47,114],"and":[31,48,75,94,115,119,153,171],"simulation.":[32,139],"This":[33,100],"article":[34],"provides":[35,165],"comprehensive":[37],"review":[38,101,164],"the":[40,52,56,81,91,103,128,133],"recent":[41],"on":[43,55,86],"ML-based":[44],"simulations.":[49],"We":[50,79],"organize":[51],"literature":[53],"based":[54],"category,":[58],"such":[59],"as":[60],"Planar":[61],"Metal\u2013Oxide\u2013Semiconductor":[62],"(MOS)":[63],"device,":[64],"Field-Effect":[65],"Transistors":[66],"(FET)":[67],"devices,":[68],"High":[69],"Electron":[70],"Mobility":[71],"Transistor":[72],"(HEMTs)":[73],"devices":[74],"other":[76],"discuss":[80],"implementation":[82],"ML":[84,110,148,159],"methodologies":[85],"each":[87],"along":[89],"with":[90,146],"primary":[92],"findings":[93],"summarize":[95],"them":[96],"Table.":[99],"finds":[102],"use":[104],"variety":[108],"simulation,":[116],"traditional":[118],"deep":[120],"(DL)":[122],"models.":[123],"Furthermore,":[124],"this":[125,163],"study":[126],"shows":[127],"ability":[129],"ofMLmodels":[130],"to":[131,180],"capture":[132],"complex,":[134],"nonlinear":[135],"patterns":[136],"Finally,":[140],"we":[141],"identify":[142],"key":[143],"challenges":[144],"associated":[145],"implementing":[147,158],"simulations":[152],"suggest":[154],"future":[155],"directions":[156],"for":[157,168],"models":[160],"efficiently.":[161],"Overall,":[162],"useful":[166],"resources":[167],"researchers,":[169],"engineers,":[170],"industry":[172],"experts":[173],"interested":[174],"leveraging":[176],"algorithms":[179],"efficiently":[181],"model":[182]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
