{"id":"https://openalex.org/W2342585796","doi":"https://doi.org/10.1109/tcad.2015.2514083","title":"Compact Model Parameter Extraction Using Bayesian Inference, Incomplete New Measurements, and Optimal Bias Selection","display_name":"Compact Model Parameter Extraction Using Bayesian Inference, Incomplete New Measurements, and Optimal Bias Selection","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2342585796","doi":"https://doi.org/10.1109/tcad.2015.2514083","mag":"2342585796"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2015.2514083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2015.2514083","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","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":"https://openalex.org/A5101842962","display_name":"Yu Li","orcid":"https://orcid.org/0000-0002-0617-6096"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Facebook Inc., Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102784876","display_name":"Sharad Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I65376102","display_name":"PDF Solutions (United States)","ror":"https://ror.org/007737841","country_code":"US","type":"company","lineage":["https://openalex.org/I65376102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharad Saxena","raw_affiliation_strings":["PDF Solutions Inc., Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PDF Solutions Inc., Richardson, TX, USA","institution_ids":["https://openalex.org/I65376102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075541043","display_name":"Christopher P. Hess","orcid":"https://orcid.org/0000-0002-5132-5302"},"institutions":[{"id":"https://openalex.org/I65376102","display_name":"PDF Solutions (United States)","ror":"https://ror.org/007737841","country_code":"US","type":"company","lineage":["https://openalex.org/I65376102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Hess","raw_affiliation_strings":["PDF Solutions Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PDF Solutions Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I65376102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048725993","display_name":"Ibrahim M. Elfadel","orcid":"https://orcid.org/0000-0003-3220-9987"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibrahim Abe M. Elfadel","raw_affiliation_strings":["Masdar Institute of Science and Technology, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masdar Institute of Science and Technology, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056314310","display_name":"D.A. Antoniadis","orcid":"https://orcid.org/0000-0002-4836-6525"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitri A. Antoniadis","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066048721","display_name":"Duane S. Boning","orcid":"https://orcid.org/0000-0002-0417-445X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duane S. Boning","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0351,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81032934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"35","issue":"7","first_page":"1138","last_page":"1150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9969000220298767,"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":0.5925272703170776},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5346286296844482},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.46769264340400696},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4345913529396057},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4153274595737457},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41383036971092224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40806204080581665},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.39175766706466675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33193135261535645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2697852849960327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25651484727859497},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.25489169359207153},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14938223361968994},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14442163705825806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925272703170776},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5346286296844482},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.46769264340400696},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4345913529396057},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4153274595737457},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41383036971092224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40806204080581665},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.39175766706466675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33193135261535645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2697852849960327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25651484727859497},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.25489169359207153},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14938223361968994},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14442163705825806},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2015.2514083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2015.2514083","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G8654837357","display_name":null,"funder_award_id":"196F/002/707/102f/70/9374","funder_id":"https://openalex.org/F4320309369","funder_display_name":"Massachusetts Institute of Technology"}],"funders":[{"id":"https://openalex.org/F4320309369","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44"},{"id":"https://openalex.org/F4320322420","display_name":"Masdar Institute of Science and Technology","ror":"https://ror.org/05hffr360"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1994966754","https://openalex.org/W1996546647","https://openalex.org/W1998915140","https://openalex.org/W2000015806","https://openalex.org/W2015723387","https://openalex.org/W2017361567","https://openalex.org/W2020033710","https://openalex.org/W2025028595","https://openalex.org/W2060639108","https://openalex.org/W2063978378","https://openalex.org/W2076233859","https://openalex.org/W2079374105","https://openalex.org/W2080348988","https://openalex.org/W2083027289","https://openalex.org/W2083468228","https://openalex.org/W2097819249","https://openalex.org/W2108228762","https://openalex.org/W2115305054","https://openalex.org/W2129638963","https://openalex.org/W2132588722","https://openalex.org/W2140735333","https://openalex.org/W2143150278","https://openalex.org/W2167175161","https://openalex.org/W2172504065","https://openalex.org/W2518542666","https://openalex.org/W3145643822","https://openalex.org/W4232698621","https://openalex.org/W4239692665","https://openalex.org/W4243215286","https://openalex.org/W6649236171","https://openalex.org/W6650526774"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2015071961","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562","https://openalex.org/W2753713401"],"abstract_inverted_index":{"In":[0],"this":[1,47],"paper,":[2],"we":[3,171],"propose":[4,172],"a":[5,67,91,111,161,167,184],"novel":[6],"MOSFET":[7,30],"parameter":[8],"extraction":[9,28,89,117],"method":[10,22,48,100],"to":[11,65,87,121,159],"enable":[12],"early":[13],"technology":[14],"evaluation.":[15],"The":[16,81,98,115],"distinguishing":[17],"feature":[18],"of":[19,29,52,58,77,95,126,140,155,164,191],"the":[20,27,50,75,78,123,129,133,137,148,153,178],"proposed":[21,99,116],"is":[23,49,101],"that":[24,132],"it":[25],"enables":[26],"model":[31],"parameters":[32,76,165],"using":[33,90,103],"limited":[34],"and":[35,70,107],"incomplete":[36],"current\u2013voltage":[37],"measurements":[38,57,109,157],"from":[39,60,188],"on-chip":[40],"monitor":[41],"circuits.":[42],"An":[43],"important":[44],"step":[45],"in":[46],"use":[51],"maximuma":[53],"posterioriestimation":[54],"where":[55],"past":[56,105],"transistors":[59],"various":[61,104],"technologies":[62,106],"are":[63,143],"used":[64,120],"learn":[66],"prior":[68],"distribution":[69],"its":[71],"uncertainty":[72],"matrix":[73],"for":[74,110,152,166,176],"target":[79],"technology.":[80],"framework":[82],"then":[83],"utilizes":[84],"Bayesian":[85],"inference":[86],"facilitate":[88],"very":[92],"small":[93],"set":[94,163],"additional":[96],"measurements.":[97],"validated":[102],"post-silicon":[108],"commercial":[112],"28-nm":[113],"process.":[114],"can":[118],"be":[119],"characterize":[122],"statistical":[124],"variations":[125],"MOSFETs":[127],"with":[128],"significant":[130],"benefit":[131],"restrictions":[134],"imposed":[135],"by":[136,182],"backward":[138],"propagation":[139],"variance":[141],"algorithm":[142,175],"relaxed.":[144],"We":[145],"also":[146],"study":[147],"lower":[149],"bound":[150],"requirement":[151],"number":[154],"transistor":[156,180],"needed":[158],"extract":[160],"full":[162],"compact":[168],"model.":[169],"Finally,":[170],"an":[173],"efficient":[174],"selecting":[177],"optimal":[179],"biases":[181],"minimizing":[183],"cost":[185],"function":[186],"derived":[187],"information-theoretic":[189],"concept":[190],"average":[192],"marginal":[193],"information":[194],"gain.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
