{"id":"https://openalex.org/W4412536539","doi":"https://doi.org/10.1109/tcad.2025.3591411","title":"PINDAS: Physics-Informed Decoupled Spatiotemporal Artificial Neural Network for Dynamic Thermal Simulation","display_name":"PINDAS: Physics-Informed Decoupled Spatiotemporal Artificial Neural Network for Dynamic Thermal Simulation","publication_year":2025,"publication_date":"2025-07-21","ids":{"openalex":"https://openalex.org/W4412536539","doi":"https://doi.org/10.1109/tcad.2025.3591411"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2025.3591411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2025.3591411","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5028022616","display_name":"David Coenen","orcid":"https://orcid.org/0000-0002-3732-1874"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"David Coenen","raw_affiliation_strings":["Department of Advanced Reliability, Robustness and Test, imec, Leuven, Belgium","imec, Kapeldreef, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-3732-1874","affiliations":[{"raw_affiliation_string":"Department of Advanced Reliability, Robustness and Test, imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"imec, Kapeldreef, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049476718","display_name":"Herman Oprins","orcid":"https://orcid.org/0000-0003-0680-4969"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Herman Oprins","raw_affiliation_strings":["Department of Advanced Reliability, Robustness and Test, imec, Leuven, Belgium","imec, Kapeldreef, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-0680-4969","affiliations":[{"raw_affiliation_string":"Department of Advanced Reliability, Robustness and Test, imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"imec, Kapeldreef, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11933182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"2","first_page":"998","last_page":"1006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.9419000148773193,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9180999994277954,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7213507890701294},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5341960787773132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45738664269447327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38932228088378906},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.35439836978912354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.32719993591308594},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.06728929281234741}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7213507890701294},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5341960787773132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45738664269447327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38932228088378906},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.35439836978912354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.32719993591308594},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.06728929281234741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2025.3591411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2025.3591411","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1991014924","https://openalex.org/W1999611659","https://openalex.org/W2006980464","https://openalex.org/W2067847186","https://openalex.org/W2129960401","https://openalex.org/W2136544943","https://openalex.org/W2147606056","https://openalex.org/W2583923520","https://openalex.org/W2766298346","https://openalex.org/W2903415461","https://openalex.org/W3163019281","https://openalex.org/W3189836452","https://openalex.org/W4237018730","https://openalex.org/W4289716390","https://openalex.org/W4312763142","https://openalex.org/W4312780021","https://openalex.org/W4312909167"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2271181815"],"abstract_inverted_index":{"Multiscale":[0],"thermal":[1,111,187],"analysis":[2,16],"in":[3],"integrated":[4],"circuits":[5],"is":[6,104,149,155,180],"required":[7],"for":[8],"capturing":[9],"both":[10],"device-level":[11],"and":[12,34,52,60,70,116,184],"package-level":[13],"dynamics.":[14],"Traditional":[15],"with":[17,45],"the":[18,64,94,98,106,120,124,130,139,152,158,170,174],"finite":[19],"element":[20,31],"(FE)":[21],"method":[22],"performs":[23],"poor":[24],"at":[25],"multiscale":[26],"tasks":[27],"because":[28],"of":[29,63,169,189],"conflicting":[30],"size":[32],"requirements":[33],"CPU":[35],"time":[36,99],"limitation.":[37],"Machine":[38],"learning":[39],"(ML)":[40],"algorithms":[41],"can":[42,135],"be":[43,136],"trained":[44],"FE":[46],"simulation":[47],"data":[48],"to":[49,72,80,92,118,157,173],"perform":[50],"fast":[51,183],"efficient":[53],"temperature":[54,65,133],"prediction.":[55],"In":[56,97],"this":[57,143],"work,":[58],"spatial":[59,84],"temporal":[61,108],"aspects":[62],"field":[66],"are":[67,90,114,165],"treated":[68],"independently":[69],"used":[71,117],"train":[73,119],"two":[74],"artificial":[75],"neural":[76],"networks":[77],"(ANNs).":[78],"Prior":[79],"ANN":[81,95,125],"training,":[82],"fundamental":[83,107],"modes":[85],"(proper":[86],"orthogonal":[87],"decomposition,":[88],"POD)":[89],"calculated":[91,115],"simplify":[93],"structure.":[96],"domain":[100],"a":[101,145,166,190],"similar":[102],"approach":[103],"used:":[105],"modes,":[109],"i.e.":[110],"step":[112,127,153],"responses":[113],"ANN.":[121],"By":[122],"training":[123],"on":[126],"response":[128,154,160],"data,":[129],"final":[131,178],"dynamic":[132,186],"profile":[134],"reconstructed":[137],"using":[138],"convolutional":[140],"operator.":[141],"Using":[142],"method,":[144],"physics-informed":[146],"ML":[147],"workflow":[148],"established":[150],"as":[151],"converted":[156],"impulse":[159],"or":[161],"Green\u2019s":[162],"function,":[163],"which":[164],"known":[167],"part":[168],"analytical":[171],"solution":[172],"heat":[175],"equation.":[176],"The":[177],"result":[179],"an":[181],"extremely":[182],"accurate":[185],"model":[188],"chip.":[191]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
