{"id":"https://openalex.org/W1563967419","doi":"https://doi.org/10.1109/nanoarch.2015.7180590","title":"Ex-situ training of dense memristor crossbar for neuromorphic applications","display_name":"Ex-situ training of dense memristor crossbar for neuromorphic applications","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1563967419","doi":"https://doi.org/10.1109/nanoarch.2015.7180590","mag":"1563967419"},"language":"en","primary_location":{"id":"doi:10.1109/nanoarch.2015.7180590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2015.7180590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH\u00b415)","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/A5103010512","display_name":"Raqibul Hasan","orcid":"https://orcid.org/0000-0001-6681-2202"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raqibul Hasan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055959085","display_name":"Chris Yakopcic","orcid":"https://orcid.org/0000-0001-6401-272X"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Yakopcic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104090957","display_name":"Tarek M. Taha","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek M. Taha","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA]","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103010512"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":1.7756,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86009439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"81"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9988999962806702,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9977999925613403,"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/crossbar-switch","display_name":"Crossbar switch","score":0.9395798444747925},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.9006937742233276},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8674044609069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298550963401794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5544210076332092},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.44639572501182556},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4227387309074402},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35731083154678345},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32002097368240356},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3162422776222229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28931641578674316},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.26165008544921875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18173003196716309}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9395798444747925},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.9006937742233276},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8674044609069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298550963401794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5544210076332092},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.44639572501182556},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4227387309074402},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35731083154678345},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32002097368240356},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3162422776222229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28931641578674316},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.26165008544921875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18173003196716309},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nanoarch.2015.7180590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2015.7180590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH\u00b415)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W56485575","https://openalex.org/W1964288235","https://openalex.org/W1976948919","https://openalex.org/W1990404128","https://openalex.org/W1997629593","https://openalex.org/W2010202670","https://openalex.org/W2027895023","https://openalex.org/W2035054741","https://openalex.org/W2056137328","https://openalex.org/W2080451019","https://openalex.org/W2080625874","https://openalex.org/W2091777687","https://openalex.org/W2112181056","https://openalex.org/W2112796928","https://openalex.org/W2127698033","https://openalex.org/W2132424367","https://openalex.org/W2145942961","https://openalex.org/W2155954834","https://openalex.org/W2162632236","https://openalex.org/W2162651880","https://openalex.org/W2170731400","https://openalex.org/W2736034299","https://openalex.org/W3099743262","https://openalex.org/W3152310809","https://openalex.org/W6641388786","https://openalex.org/W6649572380","https://openalex.org/W6664622959"],"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/W4367187682","https://openalex.org/W1940420793","https://openalex.org/W3215957123","https://openalex.org/W3164474614"],"abstract_inverted_index":{"This":[0,49],"study":[1],"proposes":[2],"a":[3,7,23,29,52,59,63,71,91],"technique":[4],"for":[5],"programming":[6],"dense":[8],"memristor":[9,42,46],"crossbar":[10,61,93],"array":[11],"without":[12],"isolation":[13],"transistors":[14],"(0T1M)":[15],"in":[16,90,103],"order":[17],"to":[18,28,45,54,65,75,86],"achieve":[19],"ex-situ":[20,77],"training":[21],"of":[22,40],"neural":[24,73],"network.":[25],"Programming":[26],"memristors":[27],"specific":[30],"resistance":[31],"level":[32],"requires":[33],"an":[34],"iterative":[35],"process":[36],"needing":[37],"the":[38,88,96],"reading":[39],"individual":[41,56],"resistances":[43,57,89],"due":[44],"device":[47],"stochasticity.":[48],"paper":[50],"presents":[51],"circuit":[53,74],"read":[55],"from":[58],"0T1M":[60,92,97],"and":[62,94],"method":[64],"map":[66],"neuron":[67],"synaptic":[68],"weights":[69],"into":[70],"novel":[72],"enable":[76],"training.":[78],"The":[79],"results":[80],"show":[81],"that":[82,95],"we":[83],"are":[84],"able":[85],"train":[87],"system":[98],"is":[99],"about":[100],"93%":[101],"smaller":[102],"area":[104],"than":[105],"1T1M":[106],"systems.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
