{"id":"https://openalex.org/W4389401145","doi":"https://doi.org/10.1109/icicdt59917.2023.10332323","title":"Artificial Synapses Enabled Neuromorphic Computing: From Blueprints to Reality","display_name":"Artificial Synapses Enabled Neuromorphic Computing: From Blueprints to Reality","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4389401145","doi":"https://doi.org/10.1109/icicdt59917.2023.10332323"},"language":"en","primary_location":{"id":"doi:10.1109/icicdt59917.2023.10332323","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icicdt59917.2023.10332323","pdf_url":"https://ieeexplore.ieee.org/ielx7/10332255/10332256/10332323.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on IC Design and Technology (ICICDT)","raw_type":"proceedings-article"},"type":"conference-abstract","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10332255/10332256/10332323.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052978189","display_name":"Chun Zhao","orcid":"https://orcid.org/0000-0002-4783-960X"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Zhao","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052978189"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"xxxviii","last_page":"xxxviii"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9661999940872192,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9239240288734436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105437517166138},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5657378435134888},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4977093040943146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49440622329711914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3944316804409027},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.28050416707992554}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9239240288734436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105437517166138},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5657378435134888},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4977093040943146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49440622329711914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3944316804409027},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28050416707992554}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicdt59917.2023.10332323","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icicdt59917.2023.10332323","pdf_url":"https://ieeexplore.ieee.org/ielx7/10332255/10332256/10332323.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on IC Design and Technology (ICICDT)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icicdt59917.2023.10332323","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icicdt59917.2023.10332323","pdf_url":"https://ieeexplore.ieee.org/ielx7/10332255/10332256/10332323.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on IC Design and Technology (ICICDT)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389401145.pdf","grobid_xml":"https://content.openalex.org/works/W4389401145.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3031505884","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W2971712727","https://openalex.org/W4387459935","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W3015991694"],"abstract_inverted_index":{"Emerging":[0],"brain-inspired":[1],"neuromorphic":[2,176],"computing":[3,41],"systems":[4,42],"have":[5],"become":[6],"a":[7,60],"potential":[8],"candidate":[9],"for":[10,113],"overcoming":[11],"the":[12,18,52,55,65,80,89,119,129,147,154,170],"von":[13],"Neuman":[14],"bottleneck":[15],"that":[16],"limits":[17],"performance":[19],"of":[20,49,62,91,142,149,173],"most":[21],"modern":[22],"computers.":[23],"Artificial":[24],"synapses,":[25],"used":[26],"to":[27,44,165],"mimic":[28],"neural":[29,107,144],"transmission":[30],"and":[31,39,54,76,79,85,94,162,168],"physical":[32],"information":[33],"sensing,":[34],"could":[35],"build":[36],"highly":[37],"robust":[38],"efficient":[40],"similar":[43],"our":[45],"brains.":[46],"The":[47],"employment":[48],"nanomaterials":[50],"in":[51,68,122],"devices,":[53],"device":[56],"structures,":[57,136],"are":[58],"receiving":[59],"surge":[61],"interest,":[63],"given":[64],"various":[66,95],"benefits":[67],"better":[69],"carrier":[70],"dynamics,":[71],"higher":[72],"conductance,":[73],"photonic":[74],"interaction":[75],"photocarrier":[77],"trapping,":[78],"architectural":[81],"feasibility":[82],"with":[83,132],"two":[84],"three-terminal":[86],"devices.":[87],"Moreover,":[88],"combination":[90],"artificial":[92,174],"synapses":[93],"nanomaterial-based":[96],"active":[97],"channels":[98],"also":[99],"enables":[100],"visual":[101],"recognition,":[102],"multi-modality":[103],"sensing-processing":[104],"systems,":[105],"hardware":[106,143],"networks,":[108],"etc.,":[109],"demonstrating":[110],"appealing":[111],"possibilities":[112],"practical":[114],"applications.":[115],"Here,":[116],"we":[117,152],"summarize":[118],"recent":[120],"advances":[121],"synaptic":[123],"devices":[124,131],"based":[125],"on":[126],"low-dimensional":[127],"nanomaterials,":[128],"novel":[130],"hybrid":[133],"materials":[134],"or":[135],"as":[137,139],"well":[138],"implementation":[140],"schemes":[141],"networks.":[145],"By":[146],"end":[148],"this":[150],"review,":[151],"discuss":[153],"engineering":[155],"issues":[156],"including":[157],"control":[158],"methods,":[159],"design":[160],"complexity":[161],"fabrication":[163],"process":[164],"be":[166],"addressed,":[167],"envision":[169],"future":[171],"developments":[172],"synapse-based":[175],"systems.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
