{"id":"https://openalex.org/W7225324005","doi":"https://doi.org/10.1088/1361-6463/aebe3e","title":"From memristor to synaptic transistor: progress of three-terminal organic synapse in material and neuromorphic application","display_name":"From memristor to synaptic transistor: progress of three-terminal organic synapse in material and neuromorphic application","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225324005","doi":"https://doi.org/10.1088/1361-6463/aebe3e"},"language":"en","primary_location":{"id":"doi:10.1088/1361-6463/aebe3e","doi":"https://doi.org/10.1088/1361-6463/aebe3e","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6463/aebe3e","pdf_url":null,"source":{"id":"https://openalex.org/S111927887","display_name":"Journal of Physics D Applied Physics","issn_l":"0022-3727","issn":["0022-3727","1361-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics D: Applied Physics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5033147335","display_name":"Guangyue Shen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyue Shen","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064017156","display_name":"Liang Heng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Liang","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160835047","display_name":"Han Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Tang","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160836036","display_name":"Shihao Shong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Shong","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790494","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0003-4785-3169","observed_orcids":["https://orcid.org/0000-0003-4785-3169"]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":"https://orcid.org/0000-0003-4785-3169","affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160918268","display_name":"Deyan He","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyan He","raw_affiliation_strings":["Lanzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101790494"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":{"value":3325,"currency":"USD","value_usd":3325},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.0,"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/T10660","display_name":"Conducting polymers and applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-synapses","display_name":"artificial synapses","score":0.9319999814033508},{"id":"https://openalex.org/keywords/memristors","display_name":"memristors","score":0.9259999990463257},{"id":"https://openalex.org/keywords/three-terminal-devices","display_name":"three-terminal devices","score":0.7639999985694885},{"id":"https://openalex.org/keywords/neuromorphic-electronics","display_name":"neuromorphic electronics","score":0.890999972820282},{"id":"https://openalex.org/keywords/synaptic-transistors","display_name":"synaptic transistors","score":0.6740000247955322},{"id":"https://openalex.org/keywords/neuromorphic-computing","display_name":"neuromorphic computing","score":0.6570000052452087},{"id":"https://openalex.org/keywords/energy-efficient-computing","display_name":"energy-efficient computing","score":0.6150000095367432},{"id":"https://openalex.org/keywords/organic-materials","display_name":"organic materials","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9542999863624573},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353999972343445},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5472999811172485},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4675999879837036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1361-6463/aebe3e","doi":"https://doi.org/10.1088/1361-6463/aebe3e","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6463/aebe3e","pdf_url":null,"source":{"id":"https://openalex.org/S111927887","display_name":"Journal of Physics D Applied Physics","issn_l":"0022-3727","issn":["0022-3727","1361-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics D: Applied Physics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2809505228","https://openalex.org/W3158465835","https://openalex.org/W4321223162","https://openalex.org/W2906483526","https://openalex.org/W3008257131","https://openalex.org/W7168417873","https://openalex.org/W4401707491","https://openalex.org/W4390726451","https://openalex.org/W7125660438","https://openalex.org/W4407081647"],"abstract_inverted_index":{"Abstract":[0],"Brain-like":[1],"synaptic":[2,29,79],"electronics":[3],"represent":[4],"a":[5,47,73],"promising":[6],"avenue":[7],"for":[8,81,107,129],"next-generation":[9],"information":[10],"technology,":[11],"addressing":[12],"the":[13,51,99,115,130],"limitations":[14,101],"of":[15,50,57,132],"conventional":[16],"von":[17],"Neumann":[18],"architectures.":[19],"Compared":[20],"with":[21],"existing":[22],"CMOS-based":[23],"neuromorphic":[24,55,94,133],"hardware,":[25],"highly":[26],"scalable":[27],"artificial":[28,61,123],"device":[30],"units":[31],"offer":[32],"superior":[33],"computational":[34],"energy":[35],"efficiency":[36],"and":[37,54,59,92,102,118],"have":[38,86],"consequently":[39],"attracted":[40],"extensive":[41],"research":[42],"interest.":[43],"This":[44],"review":[45],"provides":[46],"detailed":[48],"discussion":[49],"operational":[52],"mechanisms":[53],"characteristics":[56],"memristor-based":[58],"transistor-based":[60],"synapses,":[62,124],"tracing":[63],"their":[64,82,89],"structural":[65],"evolution":[66],"from":[67],"two-terminal":[68],"to":[69],"three-terminal":[70],"configurations.":[71],"With":[72],"particular":[74],"focus":[75],"on":[76],"organic":[77],"electrochemical":[78],"transistors\u2014noted":[80],"significant":[83],"application":[84],"potential\u2014we":[85],"comprehensively":[87],"summarized":[88],"material":[90],"systems":[91],"state-of-the-art":[93],"applications.":[95],"Furthermore,":[96],"we":[97],"analyze":[98],"current":[100],"outline":[103],"prospective":[104],"optimization":[105],"strategies":[106],"these":[108],"devices.":[109],"In":[110],"summary,":[111],"our":[112],"work":[113],"surveys":[114],"developmental":[116],"trajectory":[117],"recent":[119],"technological":[120],"breakthroughs":[121],"in":[122],"thereby":[125],"providing":[126],"foundational":[127],"insights":[128],"advancement":[131],"electronics.":[134]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}