{"id":"https://openalex.org/W4389166714","doi":"https://doi.org/10.1109/iccad57390.2023.10323917","title":"Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits","display_name":"Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4389166714","doi":"https://doi.org/10.1109/iccad57390.2023.10323917"},"language":"en","primary_location":{"id":"doi:10.1109/iccad57390.2023.10323917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)","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/A5084787896","display_name":"Haibin Zhao","orcid":"https://orcid.org/0000-0001-7018-1159"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Haibin Zhao","raw_affiliation_strings":["Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103175471","display_name":"Priyanjana Pal","orcid":"https://orcid.org/0009-0000-2977-8471"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Priyanjana Pal","raw_affiliation_strings":["Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038362728","display_name":"Michael Hefenbrock","orcid":"https://orcid.org/0000-0002-7583-2376"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Hefenbrock","raw_affiliation_strings":["RevoAI GmbH"],"affiliations":[{"raw_affiliation_string":"RevoAI GmbH","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082553444","display_name":"Michael Beigl","orcid":"https://orcid.org/0000-0001-5009-2327"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Beigl","raw_affiliation_strings":["Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064445713","display_name":"Mehdi B. Tahoori","orcid":"https://orcid.org/0000-0002-8829-5610"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehdi B. Tahoori","raw_affiliation_strings":["Karlsruhe Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084787896"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.6643,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69637497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9994999766349792,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9921000003814697,"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":0.8220160603523254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674349904060364},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.6543291211128235},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.637625515460968},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5337328314781189},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5103086829185486},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4599892199039459},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45288917422294617},{"id":"https://openalex.org/keywords/power-electronics","display_name":"Power electronics","score":0.43155938386917114},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4205958843231201},{"id":"https://openalex.org/keywords/printed-electronics","display_name":"Printed electronics","score":0.41148126125335693},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39977023005485535},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3642228841781616},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3580470085144043},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.26282578706741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2621002495288849},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20589417219161987},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16173473000526428}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8220160603523254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674349904060364},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.6543291211128235},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.637625515460968},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5337328314781189},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5103086829185486},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4599892199039459},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45288917422294617},{"id":"https://openalex.org/C178911571","wikidata":"https://www.wikidata.org/wiki/Q593143","display_name":"Power electronics","level":3,"score":0.43155938386917114},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4205958843231201},{"id":"https://openalex.org/C25435620","wikidata":"https://www.wikidata.org/wiki/Q1497629","display_name":"Printed electronics","level":3,"score":0.41148126125335693},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39977023005485535},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3642228841781616},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3580470085144043},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.26282578706741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2621002495288849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20589417219161987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16173473000526428},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad57390.2023.10323917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1726370773","https://openalex.org/W1974982221","https://openalex.org/W1987836799","https://openalex.org/W1989474204","https://openalex.org/W1994904427","https://openalex.org/W2016043834","https://openalex.org/W2032558547","https://openalex.org/W2033021170","https://openalex.org/W2042341355","https://openalex.org/W2056863343","https://openalex.org/W2242818861","https://openalex.org/W2442974303","https://openalex.org/W2765933313","https://openalex.org/W2781525915","https://openalex.org/W2794061657","https://openalex.org/W2892267833","https://openalex.org/W2901312569","https://openalex.org/W2904179050","https://openalex.org/W2909534142","https://openalex.org/W2923157573","https://openalex.org/W2940394991","https://openalex.org/W2942061430","https://openalex.org/W2946547492","https://openalex.org/W2966437377","https://openalex.org/W3013080934","https://openalex.org/W3014256346","https://openalex.org/W3034344052","https://openalex.org/W3037965865","https://openalex.org/W3042952872","https://openalex.org/W3089791094","https://openalex.org/W3098807470","https://openalex.org/W3104775050","https://openalex.org/W3105519428","https://openalex.org/W3131684588","https://openalex.org/W3135034047","https://openalex.org/W3137147200","https://openalex.org/W3157009332","https://openalex.org/W3158433024","https://openalex.org/W3168082371","https://openalex.org/W3184606595","https://openalex.org/W4200136000","https://openalex.org/W4212774754","https://openalex.org/W4281493126","https://openalex.org/W4312121024","https://openalex.org/W4312955138","https://openalex.org/W4317423818","https://openalex.org/W4379114670","https://openalex.org/W4379115923","https://openalex.org/W4379116042","https://openalex.org/W6631190155","https://openalex.org/W6658641950","https://openalex.org/W6690026940","https://openalex.org/W6766978945","https://openalex.org/W6780964199"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W4389237622","https://openalex.org/W3108691306","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4297621941","https://openalex.org/W4284965876"],"abstract_inverted_index":{"There":[0],"is":[1,133],"an":[2],"increasing":[3],"demand":[4],"for":[5,116,174],"next-generation":[6],"flexible":[7],"electronics":[8,23,46],"in":[9,60,187],"emerging":[10],"low-cost":[11],"applications":[12,186],"such":[13],"as":[14,48],"smart":[15,18],"packaging":[16],"and":[17,29,38,64,88,141,183,189],"bandages,":[19],"where":[20],"conventional":[21],"silicon":[22],"cannot":[24],"enter":[25],"due":[26],"to":[27,72,135],"cost":[28],"form":[30],"factor.":[31],"In":[32,42,96],"these":[33],"domains,":[34],"ultra-low-cost,":[35],"high":[36],"flexibility,":[37],"customizability":[39],"are":[40],"required.":[41],"this":[43,97],"regard,":[44],"printed":[45,66,76,104,180],"emerge":[47],"a":[49,89],"complementary":[50],"solution":[51],"offering":[52],"the":[53,58,69,108,117,120,127,137,149,156,175],"aforementioned":[54],"properties.":[55],"To":[56],"respect":[57],"constraints":[59],"those":[61],"application":[62],"scenarios":[63],"equip":[65],"devices":[67],"with":[68,148],"fundamental":[70],"capability":[71],"process":[73],"information,":[74],"analog":[75],"neuromorphic":[77,105,181],"circuits":[78,106,182],"offer":[79],"multiple":[80],"advantages,":[81],"including":[82],"strong":[83],"expressiveness,":[84],"streamlined":[85],"circuit":[86,118],"primitives,":[87,119],"highly":[90],"efficient":[91],"machine":[92],"learning-based":[93],"design":[94,128],"process.":[95,129],"work,":[98],"we":[99],"focus":[100],"on":[101],"designing":[102],"low-power":[103],"at":[107],"algorithmic":[109],"level.":[110],"By":[111],"developing":[112],"accurate":[113],"power":[114,121,142,157],"models":[115],"consumption":[122,158],"can":[123,159],"be":[124,160],"considered":[125],"into":[126],"Subsequently,":[130],"Pareto":[131],"analysis":[132],"employed":[134],"examine":[136],"relationship":[138],"between":[139],"accuracy":[140],"consumption.":[143],"Experimental":[144],"results":[145],"reveal":[146],"that,":[147],"proposed":[150],"approach,":[151],"2":[152],"x":[153],"reduction":[154],"of":[155,166,178],"realized":[161],"while":[162],"maintaining":[163],"95":[164],"%":[165],"classification":[167],"accuracy.":[168],"This":[169],"approach":[170],"has":[171],"significant":[172],"implications":[173],"future":[176],"development":[177],"energy-efficient":[179],"their":[184],"potential":[185],"IoT":[188],"AI":[190],"intersections.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
