{"id":"https://openalex.org/W4406858881","doi":"https://doi.org/10.1109/ipccc59868.2024.10850025","title":"Digital-Twin Architecture of a Spiking Neuron using Carbon Nanotube Field Effect Transistors","display_name":"Digital-Twin Architecture of a Spiking Neuron using Carbon Nanotube Field Effect Transistors","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4406858881","doi":"https://doi.org/10.1109/ipccc59868.2024.10850025"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc59868.2024.10850025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5047955697","display_name":"Shelby Williams","orcid":"https://orcid.org/0000-0001-7134-9339"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shelby Williams","raw_affiliation_strings":["Univ. of Louisiana at Lafayette,Center for Advanced Computer Studies,Lafayette,LA,USA,70504"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisiana at Lafayette,Center for Advanced Computer Studies,Lafayette,LA,USA,70504","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107490589","display_name":"Prosen Kirtonia","orcid":"https://orcid.org/0000-0002-7944-0804"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prosen Kirtonia","raw_affiliation_strings":["University of Louisiana at Lafayette,Dept. of Electrical and Computer Engr.,Lafayette,LA,USA,70504"],"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette,Dept. of Electrical and Computer Engr.,Lafayette,LA,USA,70504","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014459964","display_name":"Kasem Khalil","orcid":"https://orcid.org/0000-0002-9659-8566"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kasem Khalil","raw_affiliation_strings":["Univ. of Mississippi,Department of Electrical and Computer Engineering,Oxford,MS,USA,38677"],"affiliations":[{"raw_affiliation_string":"Univ. of Mississippi,Department of Electrical and Computer Engineering,Oxford,MS,USA,38677","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010023744","display_name":"Magdy Bayoumi","orcid":"https://orcid.org/0000-0002-0630-5273"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdy Bayoumi","raw_affiliation_strings":["Univ. of Louisiana at Lafayette,Center for Advanced Computer Studies,Lafayette,LA,USA,70504"],"affiliations":[{"raw_affiliation_string":"Univ. of Louisiana at Lafayette,Center for Advanced Computer Studies,Lafayette,LA,USA,70504","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047955697"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.4449,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6581501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9972000122070312,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9972000122070312,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.963699996471405,"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/carbon-nanotube","display_name":"Carbon nanotube","score":0.7396507263183594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5189254283905029},{"id":"https://openalex.org/keywords/field-effect-transistor","display_name":"Field-effect transistor","score":0.4901057183742523},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.48724761605262756},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46680644154548645},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42878198623657227},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.41918280720710754},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4078616499900818},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.35241636633872986},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2306807041168213},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16185486316680908},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1526905596256256}],"concepts":[{"id":"https://openalex.org/C513720949","wikidata":"https://www.wikidata.org/wiki/Q1778729","display_name":"Carbon nanotube","level":2,"score":0.7396507263183594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5189254283905029},{"id":"https://openalex.org/C145598152","wikidata":"https://www.wikidata.org/wiki/Q176097","display_name":"Field-effect transistor","level":4,"score":0.4901057183742523},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.48724761605262756},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46680644154548645},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42878198623657227},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.41918280720710754},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4078616499900818},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35241636633872986},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2306807041168213},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16185486316680908},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1526905596256256},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc59868.2024.10850025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2046074714","https://openalex.org/W2786689981","https://openalex.org/W2945357379","https://openalex.org/W2982936646","https://openalex.org/W3209398723","https://openalex.org/W4250399327","https://openalex.org/W4324122872","https://openalex.org/W4388463747","https://openalex.org/W4402702929","https://openalex.org/W6642647555","https://openalex.org/W6665645110","https://openalex.org/W6684272117","https://openalex.org/W6684934745","https://openalex.org/W6761207747","https://openalex.org/W6766421448","https://openalex.org/W6766427890","https://openalex.org/W6796793510","https://openalex.org/W6803581912","https://openalex.org/W6805678301","https://openalex.org/W6838788641","https://openalex.org/W6849542261","https://openalex.org/W6856490027","https://openalex.org/W6858346094","https://openalex.org/W6860165809","https://openalex.org/W6861352642","https://openalex.org/W6862263624","https://openalex.org/W6862313467","https://openalex.org/W6869642340","https://openalex.org/W6870013847","https://openalex.org/W6870406790","https://openalex.org/W6870784086","https://openalex.org/W6871593774"],"related_works":["https://openalex.org/W1576739978","https://openalex.org/W2985840163","https://openalex.org/W2120609629","https://openalex.org/W2027473003","https://openalex.org/W2038503502","https://openalex.org/W2072424359","https://openalex.org/W2061674058","https://openalex.org/W2750055590","https://openalex.org/W1990516236","https://openalex.org/W1976012112"],"abstract_inverted_index":{"The":[0,44,188],"rapid":[1],"advancements":[2],"in":[3,74,120,130,185,198,223],"nanotechnology":[4],"and":[5,65,77,110,135,149,160,196,212,226],"neuromorphic":[6,125,214],"engineering":[7],"have":[8],"paved":[9],"the":[10,34,50,86,92,115,122,155,167,186,191,204,208,217],"way":[11,209],"for":[12,29,63,146,182],"developing":[13],"high-performance":[14],"computational":[15],"models":[16],"that":[17],"mimic":[18],"biological":[19,54],"neural":[20,162],"networks.":[21],"This":[22,164],"paper":[23],"presents":[24],"a":[25,30,60,96,179],"novel":[26],"digital-twin":[27],"architecture":[28,46],"spiking":[31,97,152],"neuron,":[32],"leveraging":[33],"exceptional":[35],"properties":[36],"of":[37,53,95,117,124,151,157,170,193,206,219],"Carbon":[38],"Nanotube":[39],"Field":[40],"Effect":[41],"Transistors":[42],"(CNFETs).":[43],"proposed":[45],"aims":[47],"to":[48,81],"emulate":[49],"dynamic":[51],"behavior":[52],"neurons":[55,119],"with":[56,143,175],"high":[57],"fidelity,":[58],"providing":[59],"robust":[61],"platform":[62],"simulation":[64],"analysis.":[66],"By":[67],"integrating":[68],"CNFETs,":[69],"we":[70,210],"achieve":[71],"significant":[72],"improvements":[73],"lowest-energy":[75],"usage":[76],"highest-spiking":[78],"frequency,":[79],"compared":[80],"traditional":[82],"silicon-based":[83],"technologies.":[84],"Furthermore,":[85],"digital":[87,140,172],"twin":[88,141,173],"not":[89],"only":[90],"replicates":[91],"electrical":[93],"characteristics":[94],"neuron":[98],"but":[99],"also":[100],"facilitates":[101],"advanced":[102],"functionalities":[103],"such":[104],"as":[105,201],"adaptive":[106],"learning,":[107],"fault":[108],"tolerance,":[109],"self-optimization.":[111],"Experimental":[112],"results":[113],"demonstrate":[114],"potential":[116],"CNFET-based":[118],"enhancing":[121],"performance":[123],"systems,":[126,215],"offering":[127],"promising":[128],"applications":[129],"artificial":[131,224],"intelligence,":[132],"cognitive":[133],"computing,":[134],"complex":[136],"system":[137],"modeling.":[138],"Integrating":[139],"technology":[142,174],"CNFETs":[144],"allows":[145],"precise":[147],"control":[148],"manipulation":[150],"behavior,":[153],"enabling":[154],"development":[156,197],"more":[158],"sophisticated":[159],"efficient":[161],"models.":[163],"research":[165,195],"underscores":[166],"transformative":[168],"impact":[169],"combining":[171],"cutting-edge":[176],"nanomaterials,":[177],"setting":[178],"new":[180],"benchmark":[181],"future":[183],"explorations":[184],"field.":[187],"findings":[189],"highlight":[190],"importance":[192],"continued":[194],"this":[199],"area,":[200],"it":[202],"holds":[203],"promise":[205],"revolutionizing":[207],"design":[211],"implement":[213],"pushing":[216],"boundaries":[218],"what":[220],"is":[221],"possible":[222],"intelligence":[225],"beyond.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}