{"id":"https://openalex.org/W2049469223","doi":"https://doi.org/10.1109/socc.2012.6398367","title":"Memristor in neuromorphic computing","display_name":"Memristor in neuromorphic computing","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2049469223","doi":"https://doi.org/10.1109/socc.2012.6398367","mag":"2049469223"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2012.6398367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","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/A5100429403","display_name":"Hai Li","orcid":"https://orcid.org/0000-0003-3228-6544"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hai Li","raw_affiliation_strings":["Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100429403"],"corresponding_institution_ids":["https://openalex.org/I57206974","https://openalex.org/I90965887"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11066847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"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":0.9986000061035156,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9343000054359436,"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/T10320","display_name":"Neural Networks and Applications","score":0.9253000020980835,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.918002724647522},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.7552721500396729},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7381173372268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276304364204407},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5977635979652405},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5685545206069946},{"id":"https://openalex.org/keywords/reconfigurable-computing","display_name":"Reconfigurable computing","score":0.45148852467536926},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42993393540382385},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.41181501746177673},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4092247188091278},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33630573749542236},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3270251154899597},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24093922972679138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20674625039100647},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1400206983089447}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.918002724647522},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.7552721500396729},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7381173372268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276304364204407},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5977635979652405},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5685545206069946},{"id":"https://openalex.org/C142962650","wikidata":"https://www.wikidata.org/wiki/Q240838","display_name":"Reconfigurable computing","level":3,"score":0.45148852467536926},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42993393540382385},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.41181501746177673},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4092247188091278},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33630573749542236},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3270251154899597},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24093922972679138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20674625039100647},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1400206983089447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.0},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2012.6398367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"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":0,"referenced_works":[],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W3207218810","https://openalex.org/W4292697011","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2909534142","https://openalex.org/W2086672837","https://openalex.org/W4367187682","https://openalex.org/W1940420793","https://openalex.org/W3215957123"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"As":[4],"technology":[5],"scaling":[6],"down":[7],"becomes":[8],"more":[9,11],"and":[10,39,44,61,72,88,140,162,166,174],"difficult,":[12],"the":[13,29,34,91,98,103,107,110,119,132,184],"traditional":[14],"von":[15],"Neumann":[16],"computer":[17],"architecture":[18],"cannot":[19],"satisfy":[20],"people's":[21,49],"unlimited":[22],"demand":[23],"on":[24,109],"high":[25,69,85,154,157,167],"performance":[26],"computation.":[27],"Consequently,":[28],"neuromorphic":[30,145,149],"hardware":[31,73,142,172],"systems":[32,139],"providing":[33],"capabilities":[35],"of":[36,59,106,134,144],"biological":[37],"perception":[38],"information":[40],"processing":[41],"at":[42],"compact":[43],"energy-efficient":[45],"platform":[46],"have":[47],"drawn":[48],"attention.":[50],"Realizing":[51],"neural":[52,124],"network":[53],"algorithms":[54],"requires":[55],"a":[56],"large":[57],"volume":[58],"memory":[60],"being":[62],"adaptive":[63],"to":[64,101,117,159,183],"environment,":[65],"which":[66],"results":[67],"in":[68,122,136,141],"design":[70,179],"complexity":[71],"cost.":[74],"Not":[75],"mentioning":[76],"its":[77],"promising":[78],"characteristics,":[79],"such":[80],"as":[81],"non-volatility,":[82],"low-power":[83],"consumption,":[84],"integration":[86],"density,":[87],"excellent":[89,191],"scalability,":[90],"recently":[92],"rediscovered":[93],"memristor":[94],"device":[95],"also":[96],"has":[97],"unique":[99],"property":[100],"record":[102],"historical":[104],"profile":[105],"excitations":[108],"device,":[111],"making":[112],"it":[113],"an":[114,190],"ideal":[115],"candidate":[116],"realize":[118],"synapse":[120],"behavior":[121],"electronic":[123],"networks.":[125],"In":[126],"this":[127],"tutorial,":[128],"I":[129],"will":[130],"introduce":[131],"utilizations":[133],"memristors":[135],"dynamic":[137],"reconfigurable":[138],"realization":[143],"algorithms.":[146],"The":[147],"memristor-based":[148],"system":[150],"can":[151],"offer":[152],"extremely":[153],"computation":[155],"parallelism,":[156],"resilience":[158],"process":[160],"variations":[161],"transient":[163],"run-time":[164],"errors,":[165],"power":[168],"efficiency":[169],"with":[170],"ultra-low":[171],"cost":[173],"small":[175],"footprint.":[176],"Moreover,":[177],"our":[178],"is":[180],"fully":[181],"compatible":[182],"present-day":[185],"CMOS":[186],"fabrication":[187],"process,":[188],"demonstrating":[189],"scalability.":[192]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}