{"id":"https://openalex.org/W4416429730","doi":"https://doi.org/10.1109/iccad66269.2025.11240732","title":"A Precision-Steerable Electromigration Solver with Physics-Informed Adaptive Graph Partitioning","display_name":"A Precision-Steerable Electromigration Solver with Physics-Informed Adaptive Graph Partitioning","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4416429730","doi":"https://doi.org/10.1109/iccad66269.2025.11240732"},"language":null,"primary_location":{"id":"doi:10.1109/iccad66269.2025.11240732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5035702371","display_name":"Zhaoyuan Liu","orcid":"https://orcid.org/0000-0001-9630-468X"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoyuan Liu","raw_affiliation_strings":["Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047412399","display_name":"Haodong Lu","orcid":"https://orcid.org/0000-0002-8628-2664"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Lu","raw_affiliation_strings":["Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045009372","display_name":"Jianli Chen","orcid":"https://orcid.org/0000-0001-5405-8441"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianli Chen","raw_affiliation_strings":["Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103098516","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-4286-9292"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015932760","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0002-7288-1789"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Lab of Integrated Chips &#x0026; Systems, and School of Microelectronics,China","institution_ids":["https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035702371"],"corresponding_institution_ids":["https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27945873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11661","display_name":"Copper Interconnects and Reliability","score":0.5770000219345093,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11661","display_name":"Copper Interconnects and Reliability","score":0.5770000219345093,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.2524999976158142,"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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.04769999906420708,"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/solver","display_name":"Solver","score":0.5029000043869019},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47850000858306885},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.46129998564720154},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44690001010894775},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.445499986410141},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4065000116825104},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.40149998664855957},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.39399999380111694},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3831000030040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599000096321106},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49239999055862427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47850000858306885},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.445499986410141},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.39399999380111694},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.3018999993801117},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2538999915122986},{"id":"https://openalex.org/C2778400913","wikidata":"https://www.wikidata.org/wiki/Q1639024","display_name":"Mathematical software","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad66269.2025.11240732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2007719944","https://openalex.org/W2081786181","https://openalex.org/W2083090974","https://openalex.org/W2100756329","https://openalex.org/W2124883484","https://openalex.org/W2150608324","https://openalex.org/W2293477573","https://openalex.org/W2342660339","https://openalex.org/W2534634653","https://openalex.org/W2587645287","https://openalex.org/W2749028154","https://openalex.org/W2792413301","https://openalex.org/W2894599826","https://openalex.org/W2899283552","https://openalex.org/W2907492528","https://openalex.org/W2969381807","https://openalex.org/W2975937460","https://openalex.org/W3011683599","https://openalex.org/W3034235312","https://openalex.org/W3048778144","https://openalex.org/W3114292887","https://openalex.org/W3178067780","https://openalex.org/W3213035978","https://openalex.org/W4200421630","https://openalex.org/W4221141260","https://openalex.org/W4240059038","https://openalex.org/W4312121140","https://openalex.org/W4388579592","https://openalex.org/W4389166712","https://openalex.org/W4403582858","https://openalex.org/W4409348718"],"related_works":[],"abstract_inverted_index":{"Electromigration-related":[0],"reliability":[1],"concerns":[2],"in":[3,40,48,53],"very":[4],"large-scale":[5],"integration":[6],"(VLSI)":[7],"circuits":[8,20,115],"have":[9,44],"garnered":[10],"increasing":[11],"attention":[12],"as":[13,104],"technology":[14],"continues":[15],"to":[16,75,130],"scale.":[17],"As":[18],"integrated":[19],"shrink":[21],"and":[22,99,116,198],"their":[23],"density":[24],"rises,":[25],"solving":[26],"Korhonen's":[27],"equation":[28],"for":[29],"the":[30,82,101,134,162,174],"multi-segment":[31],"interconnect":[32],"line":[33],"model":[34],"becomes":[35],"increasingly":[36],"challenging.":[37],"Recent":[38],"advances":[39],"neural":[41],"network-based":[42],"approaches":[43],"demonstrated":[45],"notable":[46],"efficacy":[47],"addressing":[49],"differential":[50],"equations":[51],"arising":[52],"physical":[54],"modeling":[55],"frameworks.":[56],"Inspired":[57],"by":[58,138,188],"Physics-Informed":[59,69],"Graph":[60],"Neural":[61],"Network":[62],"(PIGNN)":[63],"methodologies,":[64],"we":[65,85],"propose":[66],"a":[67,90,95,105,155,189],"novel":[68],"Message":[70],"Passing":[71],"(PIMNEM)":[72],"architecture":[73,103],"designed":[74],"solve":[76],"coupled":[77],"multi-domain":[78],"Korhonen":[79],"equations.":[80],"At":[81],"same":[83],"time,":[84],"introduce":[86],"AdaptEM,":[87],"which":[88],"incorporates":[89],"graph":[91,140],"partitioning":[92],"mechanism":[93],"with":[94],"hierarchical":[96,118,123,190],"training":[97,126,185,192],"strategy":[98],"employs":[100],"PIM-NEM":[102],"subgraph":[106,191],"computation":[107],"unit.":[108],"AdaptEM":[109,153,170],"enables":[110],"multi-scale":[111],"decomposition":[112],"of":[113,164,178],"interconnected":[114],"facilitates":[117],"unsupervised":[119,184],"learning":[120],"via":[121],"its":[122,182],"architecture.":[124],"Unsupervised":[125],"is":[127],"first":[128],"applied":[129],"partitioned":[131],"subgraphs":[132],"using":[133],"PIMP":[135],"mechanism,":[136],"followed":[137],"global":[139],"fine-tuning,":[141],"where":[142],"inter-subgraph":[143],"boundary":[144],"constraints":[145],"are":[146],"explicitly":[147],"enforced":[148],"through":[149],"differentiable":[150],"penalty":[151],"terms.":[152],"achieves":[154],"20\u00d7":[156],"speedup":[157],"over":[158],"FEM-based":[159],"methods":[160],"at":[161],"cost":[163],"about":[165],"0.5%":[166],"accuracy":[167],"loss.":[168],"While":[169],"may":[171],"not":[172],"match":[173],"absolute":[175],"computational":[176],"speed":[177],"state-of-the-art":[179],"EM":[180],"tools,":[181],"end-to-end":[183],"framework,":[186],"enhanced":[187],"strategy,":[193],"offers":[194],"superior":[195],"generalization":[196],"capabilities":[197],"greater":[199],"tuning":[200],"flexibility.":[201]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-20T00:00:00"}
