{"id":"https://openalex.org/W4401568724","doi":"https://doi.org/10.23919/date58400.2024.10546660","title":"Device-Aware Diagnosis for Yield Learning in RRAMs","display_name":"Device-Aware Diagnosis for Yield Learning in RRAMs","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4401568724","doi":"https://doi.org/10.23919/date58400.2024.10546660"},"language":"en","primary_location":{"id":"doi:10.23919/date58400.2024.10546660","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date58400.2024.10546660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation &amp;amp; Test in Europe Conference &amp;amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092072542","display_name":"Hanzhi Xun","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hanzhi Xun","raw_affiliation_strings":["TU Delft,Delft,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014825211","display_name":"Moritz Fieback","orcid":"https://orcid.org/0000-0002-9782-393X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Moritz Fieback","raw_affiliation_strings":["TU Delft,Delft,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031212589","display_name":"Sicong Yuan","orcid":"https://orcid.org/0000-0001-5505-1196"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sicong Yuan","raw_affiliation_strings":["TU Delft,Delft,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108828025","display_name":"Hassen Aziza","orcid":null},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hassen Aziza","raw_affiliation_strings":["Aix-Marseille University,Marseille,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aix-Marseille University,Marseille,France","institution_ids":["https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042250419","display_name":"Mottaqiallah Taouil","orcid":"https://orcid.org/0000-0002-9911-4846"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mottaqiallah Taouil","raw_affiliation_strings":["TU Delft,Delft,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005739146","display_name":"Said Hamdioui","orcid":"https://orcid.org/0000-0002-8961-0387"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Said Hamdioui","raw_affiliation_strings":["TU Delft,Delft,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9442999958992004,"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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9442999958992004,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.940500020980835,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9348999857902527,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/yield","display_name":"Yield (engineering)","score":0.6131431460380554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5713805556297302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402823805809021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3463352918624878},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.24228635430335999},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07949283719062805}],"concepts":[{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.6131431460380554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5713805556297302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402823805809021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3463352918624878},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.24228635430335999},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07949283719062805}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date58400.2024.10546660","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date58400.2024.10546660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation &amp;amp; Test in Europe Conference &amp;amp; Exhibition (DATE)","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":25,"referenced_works":["https://openalex.org/W1971319818","https://openalex.org/W1977765713","https://openalex.org/W1998385236","https://openalex.org/W2004823737","https://openalex.org/W2010160963","https://openalex.org/W2018068167","https://openalex.org/W2025783604","https://openalex.org/W2072610908","https://openalex.org/W2106246015","https://openalex.org/W2108159261","https://openalex.org/W2157007809","https://openalex.org/W2583536366","https://openalex.org/W2624863671","https://openalex.org/W2914110167","https://openalex.org/W2945684349","https://openalex.org/W3007474556","https://openalex.org/W3177243749","https://openalex.org/W4220791354","https://openalex.org/W4252884382","https://openalex.org/W4312566924","https://openalex.org/W4384009510","https://openalex.org/W4388820639","https://openalex.org/W4388820970","https://openalex.org/W4390098554","https://openalex.org/W6656869326"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Resistive":[0],"Random":[1],"Access":[2],"Memories":[3],"(RRAMs)":[4],"are":[5,24],"now":[6],"undergoing":[7],"commercialization,":[8],"with":[9],"substantial":[10],"investment":[11],"from":[12],"many":[13],"semiconductor":[14],"companies.":[15],"However,":[16,73],"due":[17],"to":[18,26,46,67,82,96,122,157,176],"the":[19,55,74,91,111,170,173],"immature":[20],"manufacturing":[21],"process,":[22],"RRAMs":[23,43],"prone":[25],"exhibit":[27],"unique":[28,69,125],"defects,":[29],"which":[30,114],"should":[31],"be":[32],"efficiently":[33,123],"identified":[34],"for":[35,42,117,164],"high-volume":[36],"production.":[37],"Hence,":[38],"obtaining":[39],"diagnostic":[40],"solutions":[41],"is":[44,108,115],"necessary":[45],"facilitate":[47],"yield":[48],"learning,":[49],"and":[50,127,149,161],"improve":[51],"RRAM":[52],"quality.":[53],"Recently,":[54],"Device-Aware":[56,104],"Test":[57],"(DAT)":[58],"approach":[59],"has":[60],"been":[61],"proposed":[62],"as":[63],"an":[64],"effective":[65],"method":[66,120,175],"detect":[68],"defects":[70,95,126,129],"in":[71],"RRAMs.":[72],"DAT":[75,112],"focuses":[76],"more":[77],"on":[78,90,110,131,146],"developing":[79],"defect":[80,144],"models":[81],"aid":[83],"production":[84],"testing":[85],"but":[86],"does":[87],"not":[88],"focus":[89],"distinctive":[92,140],"features":[93,141,160],"of":[94,142,172],"diagnose":[97,178],"different":[98],"defects.":[99,181],"This":[100],"paper":[101],"proposes":[102],"a":[103],"Diagnosis":[105],"method;":[106],"it":[107],"based":[109,130,145],"approach,":[113],"extended":[116],"diagnosis.":[118],"The":[119,166],"aims":[121],"distinguish":[124],"conventional":[128],"their":[132],"features.":[133],"To":[134],"achieve":[135],"this,":[136],"we":[137,152],"first":[138],"define":[139],"each":[143],"physical":[147],"analysis":[148],"characterizations.":[150],"Then,":[151],"develop":[153],"efficient":[154],"diagnosis":[155],"algorithms":[156],"extract":[158],"electrical":[159],"fault":[162],"signatures":[163],"them.":[165],"simulation":[167],"results":[168],"show":[169],"effectiveness":[171],"developed":[174],"reliably":[177],"all":[179],"targeted":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
