{"id":"https://openalex.org/W4408564772","doi":"https://doi.org/10.1109/tcad.2025.3552664","title":"Evaluation of FONOS FDSOI FET for Synapse-Inspired Artificial Neural Network","display_name":"Evaluation of FONOS FDSOI FET for Synapse-Inspired Artificial Neural Network","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408564772","doi":"https://doi.org/10.1109/tcad.2025.3552664"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2025.3552664","doi":"https://doi.org/10.1109/tcad.2025.3552664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2025.3552664","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,"listed_in":["cwts-core","jufo-2","norway-1"],"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"},"volume":null,"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/A5079845497","display_name":"Rameez Raja Shaik","orcid":"https://orcid.org/0000-0002-5771-1896","observed_orcids":["https://orcid.org/0000-0002-5771-1896"]},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rameez Raja Shaik","raw_affiliation_strings":["Design Manual Engineering (DME), GLOBALFOUNDRIES, Malta, NY, USA","GLOBALFOUNDRIES, Malta, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Design Manual Engineering (DME), GLOBALFOUNDRIES, Malta, NY, USA","institution_ids":["https://openalex.org/I35662394"]},{"raw_affiliation_string":"GLOBALFOUNDRIES, Malta, NY, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069426143","display_name":"Kumar Prasannajit Pradhan","orcid":"https://orcid.org/0000-0002-7313-294X","observed_orcids":["https://orcid.org/0000-0002-7313-294X"]},"institutions":[{"id":"https://openalex.org/I39244652","display_name":"Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram","ror":"https://ror.org/023c9pb11","country_code":"IN","type":"education","lineage":["https://openalex.org/I39244652"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. P. Pradhan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing Kancheepuram, Chennai, India","Department of Electronics and Communication Engineering (ECE), Indian Institute of Information Technology Design and Manufacturing (IIITDM) Kancheepuram, Tamil Nadu-, India"],"raw_orcid":"https://orcid.org/0000-0002-7313-294X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing Kancheepuram, Chennai, India","institution_ids":["https://openalex.org/I39244652"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering (ECE), Indian Institute of Information Technology Design and Manufacturing (IIITDM) Kancheepuram, Tamil Nadu-, India","institution_ids":["https://openalex.org/I39244652"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.4619,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53127651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"44","issue":"10","first_page":"3882","last_page":"3889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9961000084877014,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0031999999191612005,"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"}},{"id":"https://openalex.org/T10472","display_name":"Semiconductor materials and devices","score":0.0003000000142492354,"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/ferroelectric-field-effect-transistors","display_name":"ferroelectric field-effect transistors","score":0.9079999923706055},{"id":"https://openalex.org/keywords/artificial-synapses","display_name":"artificial synapses","score":0.5690000057220459},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8069999814033508},{"id":"https://openalex.org/keywords/neuromorphic-hardware","display_name":"neuromorphic hardware","score":0.6010000109672546},{"id":"https://openalex.org/keywords/memory-window","display_name":"memory window","score":0.6119999885559082},{"id":"https://openalex.org/keywords/retention","display_name":"retention","score":0.7080000042915344},{"id":"https://openalex.org/keywords/threshold-voltage-shift","display_name":"threshold voltage shift","score":0.7900000214576721},{"id":"https://openalex.org/keywords/charge-trapping","display_name":"charge trapping","score":0.492000013589859},{"id":"https://openalex.org/keywords/ferroelectric-polarization","display_name":"ferroelectric polarization","score":0.6340000033378601},{"id":"https://openalex.org/keywords/mnist-classification","display_name":"MNIST classification","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6244156360626221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5063096284866333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663694500923157},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.4510471522808075},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.35852742195129395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3001002073287964},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28009897470474243},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17266201972961426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2025.3552664","doi":"https://doi.org/10.1109/tcad.2025.3552664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2025.3552664","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,"listed_in":["cwts-core","jufo-2","norway-1"],"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":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1625170149","https://openalex.org/W2001439541","https://openalex.org/W2007339694","https://openalex.org/W2032849174","https://openalex.org/W2036951294","https://openalex.org/W2048016800","https://openalex.org/W2128892430","https://openalex.org/W2141635000","https://openalex.org/W2142918871","https://openalex.org/W2517720961","https://openalex.org/W2583357209","https://openalex.org/W2769364246","https://openalex.org/W2782046614","https://openalex.org/W2785141883","https://openalex.org/W2786159202","https://openalex.org/W2885718248","https://openalex.org/W3006159427","https://openalex.org/W3038236592","https://openalex.org/W3136497385","https://openalex.org/W3139343376","https://openalex.org/W3192817241","https://openalex.org/W3198503870","https://openalex.org/W4207001906","https://openalex.org/W4207066542","https://openalex.org/W4286379471","https://openalex.org/W4293745039","https://openalex.org/W4296129975","https://openalex.org/W4310789943","https://openalex.org/W4311122327","https://openalex.org/W4312539928","https://openalex.org/W4315631100","https://openalex.org/W4318767607","https://openalex.org/W4361799788","https://openalex.org/W4379803635","https://openalex.org/W4386352620","https://openalex.org/W4389887777"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2373011427","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2949844983","https://openalex.org/W3083560605","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W1982750869"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"a":[3,12,72,87,94,142,148],"well":[4],"calibrated":[5],"FDSOI":[6],"ferroelectric":[7],"(Fe)-FET/FeFET":[8],"is":[9,25,60,153],"gate-stacked":[10],"with":[11,86,128,191,242,250],"charge":[13,208],"trap":[14],"nitride":[15],"(CTN)":[16],"for":[17,39,155,169,194,222],"investigating":[18],"memory":[19,41,56,95,106,157,184,246],"and":[20,29,42,51,57,112,119,137,161,199,207,212,247],"synaptic":[21,43,58,167,214],"applications.":[22,44],"The":[23,98,114],"CTN":[24,52,70,115,197],"sandwiched":[26],"between":[27],"Fe":[28,50,68],"silicon":[30],"channel":[31],"of":[32,47,144,201,220],"FeFET":[33,99],"to":[34,54,82,104,131,147,239],"obtain":[35,105,132],"ferroelectric/oxide/nitride/oxide/semiconductor":[36],"(FONOS)":[37],"FET":[38,150,233],"improved":[40,156],"This":[45],"approach":[46],"using":[48],"both":[49,66],"layers":[53],"improve":[55],"applications":[59,244,249],"labeled":[61],"as":[62,71],"hybrid":[63,237],"approach.":[64],"Since,":[65],"the":[67,180,231],"or":[69],"standalone":[73],"gate-stack":[74],"dielectric":[75],"can":[76],"give":[77],"threshold-voltage":[78],"($V_{T}$)":[79],"shift":[80],"leading":[81,146],"hysteresis":[83],"transfer":[84,139],"characteristics":[85],"program":[88],"(PGM)/erase":[89],"(ERS)":[90],"schemes":[91],"that":[92,134],"predict":[93],"window":[96],"(MW).":[97],"uses":[100,116],"spontaneous":[101],"polarization":[102],"($P_{S}$)":[103],"operation":[107],"which":[108,152],"offer":[109],"low":[110],"power":[111],"area.":[113],"highly":[117],"mature":[118],"reliable":[120,251],"charge-trapping-memory":[121],"(CTM)-based":[122],"e${}^{-}":[123],"$/h+":[124],"trapping$\\Leftrightarrow":[125],"$de-trapping":[126],"mechanism":[127],"PGM/ERS":[129],"scheme":[130],"MW":[133,160,190],"has":[135,186,216],"high-$V_{T}$(HVT)":[136],"low-$V_{T}$(LVT)":[138],"characteristics.":[140],"Hence,":[141],"combination":[143],"these":[145],"FONOS":[149,183,232],"architecture,":[151],"investigated":[154],"properties":[158],"like":[159],"retention":[162,200],"followed":[163],"by":[164],"examining":[165],"on":[166],"attributes":[168],"realistic":[170],"device":[171,185,215,252],"training":[172],"accuracy":[173,219],"toward":[174],"artificial":[175],"neural":[176],"networks":[177],"(ANNs).":[178],"From":[179],"investigations:":[181],"1)":[182],"predicted":[187],"improvement":[188],"in":[189,226,245],"2.65":[192],"V":[193],"8-nm":[195],"thick":[196],"layer":[198],"Fe-electric":[202],"field":[203],"($E_{\\mathrm":[204],"{":[205],"Fe}}$)":[206],"density":[209],"for$\\approx":[210],"11$years":[211],"2)":[213],"shown":[217],"an":[218],"93%":[221],"MNIST":[223],"digit":[224],"dataset":[225],"ANNs.":[227],"These":[228],"predictions":[229],"from":[230],"aimed":[234],"at":[235],"providing":[236],"solutions":[238],"next-generation":[240],"devices":[241],"extended":[243],"neuromorphic":[248],"operation.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2025-10-10T00:00:00"}
