{"id":"https://openalex.org/W2293548155","doi":"https://doi.org/10.1109/aspdac.2016.7427998","title":"Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses","display_name":"Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2293548155","doi":"https://doi.org/10.1109/aspdac.2016.7427998","mag":"2293548155"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2016.7427998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7427998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032635465","display_name":"Abhronil Sengupta","orcid":"https://orcid.org/0000-0002-5545-4494"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhronil Sengupta","raw_affiliation_strings":["School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004419710","display_name":"Karthik Yogendra","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Yogendra","raw_affiliation_strings":["Purdue University System, West Lafayette, IN, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University System, West Lafayette, IN, US","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047916979","display_name":"Deliang Fan","orcid":"https://orcid.org/0000-0002-7989-6297"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deliang Fan","raw_affiliation_strings":["School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-0735-9695"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Purdue University West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"115","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spintronics","display_name":"Spintronics","score":0.778260350227356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6705794334411621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5938420295715332},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5708320736885071},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.44343000650405884},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41337817907333374},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.3857845067977905},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3386375904083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2654270529747009},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21609941124916077},{"id":"https://openalex.org/keywords/ferromagnetism","display_name":"Ferromagnetism","score":0.1491544544696808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0822719931602478}],"concepts":[{"id":"https://openalex.org/C207999682","wikidata":"https://www.wikidata.org/wiki/Q258659","display_name":"Spintronics","level":3,"score":0.778260350227356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6705794334411621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938420295715332},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5708320736885071},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.44343000650405884},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41337817907333374},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.3857845067977905},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3386375904083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2654270529747009},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21609941124916077},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.1491544544696808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0822719931602478},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspdac.2016.7427998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7427998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1542981317","https://openalex.org/W1543523190","https://openalex.org/W1670338252","https://openalex.org/W1976850937","https://openalex.org/W1996092882","https://openalex.org/W2009295681","https://openalex.org/W2015696380","https://openalex.org/W2016922062","https://openalex.org/W2017184681","https://openalex.org/W2033147674","https://openalex.org/W2039375332","https://openalex.org/W2063219138","https://openalex.org/W2063927304","https://openalex.org/W2077741030","https://openalex.org/W2092268242","https://openalex.org/W2096473662","https://openalex.org/W2101927907","https://openalex.org/W2130459697","https://openalex.org/W2131018561","https://openalex.org/W2137695184","https://openalex.org/W2149158279","https://openalex.org/W3100511017","https://openalex.org/W3102076465","https://openalex.org/W3102217464","https://openalex.org/W3105515371"],"related_works":["https://openalex.org/W2549656885","https://openalex.org/W4306160710","https://openalex.org/W4387251031","https://openalex.org/W4293576507","https://openalex.org/W2889153502","https://openalex.org/W2504678134","https://openalex.org/W4225977302","https://openalex.org/W4294536866","https://openalex.org/W3128096732","https://openalex.org/W4385224602"],"abstract_inverted_index":{"Non-von":[0],"Neumann":[1],"computing":[2,68,103],"models,":[3],"like":[4],"Artificial":[5],"and":[6,34,56,82,95,110],"Spiking":[7],"Neural":[8],"Networks,":[9],"inspired":[10],"from":[11],"the":[12,15,28,63,97],"functionalities":[13,94],"of":[14,100,107],"human":[16],"brain,":[17],"would":[18],"require":[19],"devices":[20,45],"that":[21,39],"can":[22,60,77],"offer":[23],"a":[24],"direct":[25],"mapping":[26],"to":[27],"underlying":[29],"neuroscience":[30],"mechanisms":[31],"for":[32,65,91],"energy-efficient":[33],"compact":[35],"hardware":[36],"implementation.":[37],"To":[38],"effect,":[40],"spin-transfer":[41],"torque":[42],"phenomena":[43],"in":[44,54],"based":[46,104],"on":[47,105],"lateral":[48],"spin":[49],"valves,":[50],"domain":[51],"wall":[52],"motion":[53],"magnets":[55],"magnetic":[57],"tunnel":[58],"junctions":[59],"potentially":[61],"pave":[62],"way":[64],"spintronic":[66,71,75],"neural":[67,81,102],"systems,":[69],"where":[70],"neurons":[72,109],"interfaced":[73],"with":[74],"synapses,":[76],"directly":[78],"mimic":[79],"biological":[80],"synaptic":[83],"functionalities.":[84],"We":[85],"explore":[86],"various":[87],"device":[88],"structures":[89],"suitable":[90],"such":[92,101],"non-Boolean":[93],"demonstrate":[96],"potential":[98],"benefits":[99],"arrays":[106],"magneto-metallic":[108],"synapses.":[111]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
