{"id":"https://openalex.org/W4414908505","doi":"https://doi.org/10.1109/access.2025.3618829","title":"A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization","display_name":"A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414908505","doi":"https://doi.org/10.1109/access.2025.3618829"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3618829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3618829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102809630","display_name":"Seong-Hyun Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP","KR"],"is_corresponding":true,"raw_author_name":"Seong-Hyun Hong","raw_affiliation_strings":["Department of Aritificial Intelligence, Korea University, Seoul, South Korea","Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea","institution_ids":["https://openalex.org/I4210161052","https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447629","display_name":"Jinho Lee","orcid":"https://orcid.org/0000-0003-3076-3722"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP","KR"],"is_corresponding":false,"raw_author_name":"Jinho Lee","raw_affiliation_strings":["Department of Aritificial Intelligence, Korea University, Seoul, South Korea","Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea","institution_ids":["https://openalex.org/I4210161052","https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087120983","display_name":"Byung-Jun Lee","orcid":"https://orcid.org/0000-0002-0684-607X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP","KR"],"is_corresponding":false,"raw_author_name":"Byung-Jun Lee","raw_affiliation_strings":["Department of Aritificial Intelligence, Korea University, Seoul, South Korea","Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Aritificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea","institution_ids":["https://openalex.org/I4210161052","https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102809630"],"corresponding_institution_ids":["https://openalex.org/I197347611","https://openalex.org/I4210161052"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27530711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"176874","last_page":"176884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10472","display_name":"Semiconductor materials and devices","score":0.9933000206947327,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9933000206947327,"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":0.9933000206947327,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9904000163078308,"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/leverage","display_name":"Leverage (statistics)","score":0.6456000208854675},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5475000143051147},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5249999761581421},{"id":"https://openalex.org/keywords/capacitor","display_name":"Capacitor","score":0.5249000191688538},{"id":"https://openalex.org/keywords/decoupling-capacitor","display_name":"Decoupling capacitor","score":0.5047000050544739},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.41499999165534973},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3580999970436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893000245094299},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6456000208854675},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C52192207","wikidata":"https://www.wikidata.org/wiki/Q5322","display_name":"Capacitor","level":3,"score":0.5249000191688538},{"id":"https://openalex.org/C35196352","wikidata":"https://www.wikidata.org/wiki/Q1532649","display_name":"Decoupling capacitor","level":4,"score":0.5047000050544739},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3646000027656555},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25189998745918274},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3618829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:64ab77e2a27747b2b794f7c2cb40213b","is_oa":true,"landing_page_url":"https://doaj.org/article/64ab77e2a27747b2b794f7c2cb40213b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 176874-176884 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3618829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3618829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1849148950","https://openalex.org/W2024060531","https://openalex.org/W2116494573","https://openalex.org/W2125671371","https://openalex.org/W2131774270","https://openalex.org/W2756531558","https://openalex.org/W2964230359","https://openalex.org/W3005038879","https://openalex.org/W3013938122","https://openalex.org/W3085389070","https://openalex.org/W3089997764","https://openalex.org/W3094043398","https://openalex.org/W3107965887","https://openalex.org/W3169517138","https://openalex.org/W3171752851","https://openalex.org/W3176281669","https://openalex.org/W3213615259","https://openalex.org/W3216002718","https://openalex.org/W4293107948","https://openalex.org/W4293868298","https://openalex.org/W4295916863","https://openalex.org/W4311415873","https://openalex.org/W4380894245","https://openalex.org/W4385245566","https://openalex.org/W4400770903"],"related_works":[],"abstract_inverted_index":{"The":[0,24],"problem":[1,105],"of":[2,27,74,106],"decoupling":[3,107],"capacitor":[4,108],"placement":[5,144,189],"is":[6,93,128],"a":[7,71,100,133,149],"critical":[8],"challenge":[9],"in":[10,64,187],"modern":[11],"hardware":[12,28,65],"design,":[13],"as":[14],"it":[15],"significantly":[16],"impacts":[17],"power":[18],"integrity":[19],"and":[20,50,84,165,184,191],"overall":[21],"circuit":[22],"performance.":[23],"rapid":[25],"evolution":[26],"to":[29,114,131,156],"meet":[30],"increasing":[31],"performance":[32,83,190],"demands":[33],"presents":[34],"significant":[35],"challenges":[36],"for":[37,60,103,137],"traditional":[38],"Electronic":[39],"Design":[40],"Automation":[41],"(EDA)":[42],"tools,":[43],"which":[44,80],"often":[45],"suffer":[46],"from":[47],"prolonged":[48],"runtimes":[49],"limited":[51],"scalability.":[52],"Recently,":[53],"sequential":[54,119],"decision-making":[55,120],"methods":[56,121],"have":[57],"gained":[58],"attention":[59],"automating":[61],"partial":[62],"solutions":[63,87],"design.":[66],"However,":[67],"their":[68],"dependence":[69],"on":[70],"strict":[72],"ordering":[73],"decision":[75],"elements":[76],"introduces":[77],"order":[78,124],"bias,":[79,125],"may":[81],"degrade":[82],"overlook":[85],"valid":[86],"when":[88],"the":[89,104,129,154,159],"optimal":[90],"solution":[91,145,160],"set":[92],"permutation-invariant.":[94],"In":[95],"this":[96,138],"paper,":[97],"we":[98],"propose":[99],"diffusion-based":[101],"framework":[102],"placement,":[109],"leveraging":[110],"its":[111],"permutation-invariant":[112],"nature":[113],"address":[115],"these":[116],"challenges.":[117],"Unlike":[118],"that":[122,171],"introduce":[123],"our":[126,172],"approach":[127],"first":[130],"leverage":[132],"non-autoregressive":[134],"diffusion":[135],"model":[136,155],"task,":[139],"directly":[140],"generating":[141],"an":[142],"optimized":[143],"by":[146],"iteratively":[147],"refining":[148],"noisy":[150],"initialization.":[151],"This":[152],"allows":[153],"efficiently":[157],"explore":[158],"space":[161],"while":[162],"ensuring":[163],"consistency":[164],"high-quality":[166],"placements.":[167],"Our":[168],"experiments":[169],"demonstrate":[170],"method":[173],"outperforms":[174],"multiple":[175],"state-of-the-art":[176],"(SOTA)":[177],"baselines,":[178],"including":[179],"search-based":[180],"heuristics,":[181],"reinforcement":[182],"learning,":[183,186],"imitation":[185],"both":[188],"data":[192],"efficiency.":[193]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}