{"id":"https://openalex.org/W4389166780","doi":"https://doi.org/10.1109/iccad57390.2023.10323972","title":"Invited Paper: Solving Fine-Grained Static 3DIC Thermal with ML Thermal Solver Enhanced with Decay Curve Characterization","display_name":"Invited Paper: Solving Fine-Grained Static 3DIC Thermal with ML Thermal Solver Enhanced with Decay Curve Characterization","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4389166780","doi":"https://doi.org/10.1109/iccad57390.2023.10323972"},"language":"en","primary_location":{"id":"doi:10.1109/iccad57390.2023.10323972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323972","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/A5101410093","display_name":"Haiyang He","orcid":"https://orcid.org/0000-0001-6422-0692"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haiyang He","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070536710","display_name":"Norman Chang","orcid":"https://orcid.org/0000-0003-2524-0935"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norman Chang","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068383847","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-8244-2181"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081266273","display_name":"Akhilesh Kumar","orcid":"https://orcid.org/0000-0002-0141-6388"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akhilesh Kumar","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102496765","display_name":"Wenbo Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbo Xia","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053653686","display_name":"Lang Lin","orcid":"https://orcid.org/0000-0001-7432-6722"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lang Lin","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018561547","display_name":"Rishikesh Ranade","orcid":"https://orcid.org/0000-0002-7692-7502"},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rishikesh Ranade","raw_affiliation_strings":["Ansys Inc.,USA","Ansys Inc., USA"],"affiliations":[{"raw_affiliation_string":"Ansys Inc.,USA","institution_ids":["https://openalex.org/I21160419"]},{"raw_affiliation_string":"Ansys Inc., USA","institution_ids":["https://openalex.org/I21160419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101410093"],"corresponding_institution_ids":["https://openalex.org/I21160419"],"apc_list":null,"apc_paid":null,"fwci":0.8023,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72739419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11527","display_name":"3D IC and TSV technologies","score":0.9993000030517578,"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/T11527","display_name":"3D IC and TSV technologies","score":0.9993000030517578,"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":0.9987999796867371,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9987999796867371,"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":0.8338534832000732},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.7433466911315918},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.6318894028663635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6039078831672668},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5470895767211914},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.4518997371196747},{"id":"https://openalex.org/keywords/thermal-resistance","display_name":"Thermal resistance","score":0.4423511326313019},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.42454853653907776},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.38462185859680176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34454402327537537},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2532173991203308},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17685601115226746},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1602688431739807},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.0869731605052948},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.07991930842399597}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.8338534832000732},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.7433466911315918},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.6318894028663635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039078831672668},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5470895767211914},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4518997371196747},{"id":"https://openalex.org/C137693562","wikidata":"https://www.wikidata.org/wiki/Q899628","display_name":"Thermal resistance","level":3,"score":0.4423511326313019},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.42454853653907776},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.38462185859680176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34454402327537537},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2532173991203308},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17685601115226746},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1602688431739807},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0869731605052948},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.07991930842399597},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad57390.2023.10323972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323972","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","id":"https://metadata.un.org/sdg/7","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2098206977","https://openalex.org/W2103496339","https://openalex.org/W2121809595","https://openalex.org/W2133665775","https://openalex.org/W2137136191","https://openalex.org/W2137983211","https://openalex.org/W2139923370","https://openalex.org/W2783213135","https://openalex.org/W2942961753","https://openalex.org/W2979786244","https://openalex.org/W3043514336","https://openalex.org/W3047742670","https://openalex.org/W3117902010","https://openalex.org/W3127939301","https://openalex.org/W4229451260","https://openalex.org/W4297983972","https://openalex.org/W4306177242","https://openalex.org/W4386764223","https://openalex.org/W6845981056","https://openalex.org/W6929334658"],"related_works":["https://openalex.org/W1604758548","https://openalex.org/W2804126825","https://openalex.org/W1549048322","https://openalex.org/W4367553810","https://openalex.org/W2037424584","https://openalex.org/W2104142636","https://openalex.org/W2731831065","https://openalex.org/W4283162424","https://openalex.org/W2271439649","https://openalex.org/W2011940952"],"abstract_inverted_index":{"Static":[0],"chip":[1,13,28,46,87,118,195,212],"thermal":[2,8,29,88,108,119,127,143,165,213],"analysis":[3,89],"provides":[4],"detailed":[5],"and":[6,111,167,191,210],"accurate":[7,211],"profile":[9],"on":[10,135,186,193],"chip.":[11],"The":[12,124,142,180],"power":[14,47,60,93,122,133,189,196],"map,":[15],"commonly":[16],"modeled":[17],"as":[18],"rectangular":[19],"regions":[20],"of":[21,45,102,203,207],"distinct":[22],"heat":[23,33],"sources,":[24],"significantly":[25],"impacts":[26],"the":[27,32,42,85,132,149,157,162,169,201,204],"profile.":[30,214],"Since":[31],"sources":[34],"result":[35],"from":[36],"numerous":[37],"cells":[38],"in":[39],"functional":[40],"blocks,":[41],"design":[43],"space":[44],"map":[48],"is":[49,78],"prohibitively":[50],"enormous.":[51],"Numerical":[52],"simulations":[53],"can":[54],"be":[55,65],"reliable":[56],"for":[57,82,115],"solving":[58,116],"complex":[59],"maps;":[61],"however,":[62],"it":[63],"could":[64],"very":[66],"time-consuming":[67],"when":[68],"simulating":[69],"a":[70,136,174],"large":[71],"SoC":[72],"and/or":[73],"3DIC":[74],"designs.":[75],"Thus,":[76],"there":[77],"an":[79,100],"urgent":[80],"need":[81],"speeding":[83],"up":[84],"static":[86,117],"to":[90],"tackle":[91],"various":[92],"maps.":[94,123,197],"In":[95],"this":[96],"paper,":[97],"we":[98],"propose":[99],"approach":[101,206],"integrating":[103],"our":[104],"developed":[105],"machine":[106,125,163],"learning":[107,126,164,182],"solver":[109,128,166],"[1]":[110],"decay":[112,150],"curve":[113,151],"characterization":[114],"with":[120],"diverse":[121],"would":[129,154],"first":[130],"solve":[131],"maps":[134,190],"coarse":[137],"level":[138,176],"(e.g.,":[139,177],"200":[140],"um).":[141,179],"results":[144,199],"are":[145,184],"further":[146],"enhanced":[147],"using":[148],"algorithm":[152],"which":[153],"fine":[155],"tune":[156],"solution":[158],"locally":[159],"provided":[160],"by":[161],"calculate":[168],"local":[170],"temperature":[171],"variations":[172],"at":[173],"finer":[175],"10":[178],"deep":[181],"models":[183],"trained":[185],"augmented":[187],"artificial":[188],"tested":[192],"realistic":[194],"Experimental":[198],"validate":[200],"effectiveness":[202],"proposed":[205],"offering":[208],"fast":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
