{"id":"https://openalex.org/W2806694781","doi":"https://doi.org/10.1145/3194554.3194618","title":"Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks","display_name":"Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks","publication_year":2018,"publication_date":"2018-05-30","ids":{"openalex":"https://openalex.org/W2806694781","doi":"https://doi.org/10.1145/3194554.3194618","mag":"2806694781"},"language":"en","primary_location":{"id":"doi:10.1145/3194554.3194618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3194554.3194618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Great Lakes Symposium on VLSI","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/10069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051680668","display_name":"Shaahin Angizi","orcid":"https://orcid.org/0000-0003-2289-6381"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaahin Angizi","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036755436","display_name":"Zhezhi He","orcid":"https://orcid.org/0000-0002-6357-236X"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhezhi He","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409371","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0002-2303-1120"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Bai","raw_affiliation_strings":["California State University, Fullerton, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University, Fullerton, CA, USA","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005550142","display_name":"Jie Han","orcid":"https://orcid.org/0000-0002-8849-4994"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Han","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060908808","display_name":"Mingjie Lin","orcid":"https://orcid.org/0000-0002-3225-4406"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingjie Lin","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069017725","display_name":"Ronald F. DeMara","orcid":"https://orcid.org/0000-0001-6864-7255"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald F. DeMara","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047916979","display_name":"Deliang Fan","orcid":"https://orcid.org/0000-0002-7989-6297"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deliang Fan","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998999834060669,"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":0.9998000264167786,"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/spintronics","display_name":"Spintronics","score":0.8634229898452759},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.6142235994338989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5705869793891907},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4935404062271118},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.4835614860057831},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4794265627861023},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4281075596809387},{"id":"https://openalex.org/keywords/stochastic-computing","display_name":"Stochastic computing","score":0.4263771176338196},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38947349786758423},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23140588402748108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19102701544761658},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09403744339942932}],"concepts":[{"id":"https://openalex.org/C207999682","wikidata":"https://www.wikidata.org/wiki/Q258659","display_name":"Spintronics","level":3,"score":0.8634229898452759},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.6142235994338989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5705869793891907},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4935404062271118},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.4835614860057831},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4794265627861023},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4281075596809387},{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.4263771176338196},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38947349786758423},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23140588402748108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19102701544761658},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09403744339942932},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3194554.3194618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3194554.3194618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Great Lakes Symposium on VLSI","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-11068","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/10069","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-11068","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/10069","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1982303956","https://openalex.org/W1997971931","https://openalex.org/W1999802284","https://openalex.org/W2004596214","https://openalex.org/W2020217519","https://openalex.org/W2022691368","https://openalex.org/W2027208482","https://openalex.org/W2029356595","https://openalex.org/W2040687898","https://openalex.org/W2059921460","https://openalex.org/W2070584461","https://openalex.org/W2079653511","https://openalex.org/W2096199318","https://openalex.org/W2104578404","https://openalex.org/W2119871004","https://openalex.org/W2127574124","https://openalex.org/W2142960351","https://openalex.org/W2214682759","https://openalex.org/W2549630556","https://openalex.org/W2585713259","https://openalex.org/W2611572071","https://openalex.org/W2613124046","https://openalex.org/W2742536119","https://openalex.org/W2781095682","https://openalex.org/W3141620748"],"related_works":["https://openalex.org/W3137378424","https://openalex.org/W2809732489","https://openalex.org/W4287780255","https://openalex.org/W3023361272","https://openalex.org/W4391092513","https://openalex.org/W4393235919","https://openalex.org/W2942878414","https://openalex.org/W2946942415","https://openalex.org/W3000882213","https://openalex.org/W2950724244"],"abstract_inverted_index":{"ITRS":[0],"has":[1,43],"identified":[2],"nano-magnet":[3],"based":[4],"spintronic":[5,41,60,77,81,85,94,109,134],"devices":[6,146],"as":[7,47],"promising":[8],"post-CMOS":[9],"technologies":[10],"for":[11,38,57],"information":[12,58],"processing":[13],"and":[14,32,84,102,124,147,155],"data":[15,39],"storage":[16],"due":[17],"to":[18,67,97,119,151],"their":[19],"ultra-low":[20],"switching":[21],"energy,":[22],"non-volatility,":[23],"superior":[24],"endurance,":[25],"excellent":[26],"retention":[27],"time,":[28],"high":[29,50],"integration":[30],"density":[31],"compatibility":[33],"with":[34],"CMOS":[35,68,106],"technology.":[36,69],"As":[37,56],"storage,":[40],"memory":[42,54],"been":[44],"widely":[45],"accepted":[46],"a":[48,153],"universal":[49],"performance":[51],"next-generation":[52],"non-volatile":[53],"candidate.":[55],"processing,":[59],"computing":[61,78],"remains":[62],"complementary":[63],"in":[64,129],"its":[65,127],"features":[66],"In":[70,108,133],"this":[71],"paper,":[72],"we":[73,112,138],"present":[74],"two":[75],"innovative":[76],"primitives,":[79],"i.e.":[80],"approximate":[82,110,130],"logic":[83],"stochastic":[86,135,141],"neural":[87,136,158],"network,":[88],"which":[89],"both":[90],"leverage":[91,139],"the":[92,114,140],"intrinsic":[93,115],"device":[95],"physics":[96],"achieve":[98],"much":[99],"more":[100],"compact":[101],"efficient":[103],"designs":[104],"than":[105],"counterparts.":[107],"logic,":[111],"employ":[113],"current-mode":[116],"thresholding":[117],"operation":[118],"implement":[120,152],"an":[121],"accuracy-configurable":[122],"adder":[123],"further":[125],"demonstrate":[126],"application":[128],"DSP":[131],"applications.":[132],"networks,":[137],"properties":[142],"of":[143],"domain":[144],"wall":[145],"magnetic":[148],"tunnel":[149],"junction":[150],"low-power":[154],"robust":[156],"artificial":[157],"network":[159],"design.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
