{"id":"https://openalex.org/W4413055630","doi":"https://doi.org/10.1109/tpami.2025.3596647","title":"PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations","display_name":"PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations","publication_year":2025,"publication_date":"2025-08-08","ids":{"openalex":"https://openalex.org/W4413055630","doi":"https://doi.org/10.1109/tpami.2025.3596647","pmid":"https://pubmed.ncbi.nlm.nih.gov/40779384"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3596647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3596647","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2025.3596647","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Md Rakibul Hasan","orcid":"https://orcid.org/0000-0003-2565-5321"},"institutions":[{"id":"https://openalex.org/I4210138528","display_name":"Australian Resources Research Centre","ror":"https://ror.org/03rzhkf33","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138528","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Md Rakibul Hasan","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia","Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mineral Resources, Kensington, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2565-5321","affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia","institution_ids":["https://openalex.org/I4210138528"]},{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mineral Resources, Kensington, WA, Australia","institution_ids":["https://openalex.org/I4210138528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030671709","display_name":"Pouria Behnoudfar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138528","display_name":"Australian Resources Research Centre","ror":"https://ror.org/03rzhkf33","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138528","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pouria Behnoudfar","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4301-3728","affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia","institution_ids":["https://openalex.org/I4210138528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017544181","display_name":"Daniel MacKinlay","orcid":"https://orcid.org/0000-0001-6077-2684"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210101388","display_name":"Health Sciences and Nutrition","ror":"https://ror.org/0152bt112","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210101388","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dan MacKinlay","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61, Eveleigh, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6077-2684","affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61, Eveleigh, NSW, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916","https://openalex.org/I4210101388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087530330","display_name":"Thomas Poulet","orcid":"https://orcid.org/0000-0001-7351-3083"},"institutions":[{"id":"https://openalex.org/I4210138528","display_name":"Australian Resources Research Centre","ror":"https://ror.org/03rzhkf33","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138528","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thomas Poulet","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7351-3083","affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mineral Resources, Kensington, WA, Australia","institution_ids":["https://openalex.org/I4210138528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210138528"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80806068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"47","issue":"12","first_page":"12077","last_page":"12083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8313829898834229},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7340635061264038},{"id":"https://openalex.org/keywords/integrator","display_name":"Integrator","score":0.6624420881271362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6307915449142456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5634291172027588},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.541564404964447},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5312203168869019},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5299504995346069},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46033960580825806},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.45858192443847656},{"id":"https://openalex.org/keywords/physical-law","display_name":"Physical law","score":0.45342114567756653},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.42655253410339355},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42098426818847656},{"id":"https://openalex.org/keywords/physical-system","display_name":"Physical system","score":0.4135398268699646},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.40770551562309265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38620784878730774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3195425868034363},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10000067949295044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313829898834229},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7340635061264038},{"id":"https://openalex.org/C79518650","wikidata":"https://www.wikidata.org/wiki/Q2081431","display_name":"Integrator","level":3,"score":0.6624420881271362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6307915449142456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634291172027588},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.541564404964447},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5312203168869019},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5299504995346069},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46033960580825806},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.45858192443847656},{"id":"https://openalex.org/C194583477","wikidata":"https://www.wikidata.org/wiki/Q408891","display_name":"Physical law","level":2,"score":0.45342114567756653},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.42655253410339355},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42098426818847656},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.4135398268699646},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.40770551562309265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38620784878730774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3195425868034363},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10000067949295044},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tpami.2025.3596647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3596647","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2505.06502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.06502","pdf_url":"https://arxiv.org/pdf/2505.06502","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},{"id":"pmid:40779384","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40779384","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"doi:10.5281/zenodo.15681249","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15681249","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"},{"id":"doi:10.5281/zenodo.15681250","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15681250","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"},{"id":"doi:10.5281/zenodo.16250888","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16250888","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.1109/tpami.2025.3596647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3596647","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3037664319","https://openalex.org/W2945599743","https://openalex.org/W3149970480","https://openalex.org/W1659546960","https://openalex.org/W4252762046","https://openalex.org/W1577064658","https://openalex.org/W170013976","https://openalex.org/W2386652184","https://openalex.org/W2543363198","https://openalex.org/W4280625105"],"abstract_inverted_index":{"Machine":[0],"Learning,":[1],"particularly":[2],"Generative":[3],"Adversarial":[4],"Networks":[5],"(GANs),":[6],"has":[7],"revolutionised":[8],"Super-Resolution":[9],"(SR).":[10],"However,":[11],"generated":[12],"images":[13],"often":[14],"lack":[15],"physical":[16,32,114],"meaningfulness,":[17],"which":[18,116],"is":[19,67,112],"essential":[20],"for":[21,34,123],"scientific":[22,101,128,143],"applications.":[23],"Our":[24],"approach,":[25],"PC-SRGAN,":[26],"enhances":[27],"image":[28],"resolution":[29],"while":[30],"ensuring":[31],"consistency":[33],"interpretable":[35],"simulations.":[36],"PC-SRGAN":[37,77,107,126],"significantly":[38],"improves":[39],"both":[40],"the":[41,46],"Peak":[42],"Signal-to-Noise":[43],"Ratio":[44],"and":[45,88,96,134,139],"Structural":[47],"Similarity":[48],"Index":[49],"Measure":[50],"compared":[51],"to":[52,69,73,142],"conventional":[53,109],"SR":[54,110],"methods,":[55],"even":[56],"with":[57],"limited":[58],"training":[59,65],"data":[60,66],"(e.g.,":[61],"only":[62],"13%":[63],"of":[64,106],"required":[68],"achieve":[70],"performance":[71],"similar":[72],"SRGAN).":[74],"Beyond":[75],"SR,":[76],"augments":[78],"physically":[79],"meaningful":[80],"machine":[81,129],"learning,":[82],"incorporating":[83],"numerically":[84],"justified":[85],"time":[86],"integrators":[87],"advanced":[89],"quality":[90],"metrics.":[91],"These":[92],"advancements":[93],"promise":[94],"reliable":[95],"causal":[97],"machine-learning":[98],"models":[99],"in":[100],"domains.":[102],"A":[103],"significant":[104],"advantage":[105],"over":[108],"techniques":[111],"its":[113],"consistency,":[115],"makes":[117],"it":[118],"a":[119],"viable":[120],"surrogate":[121],"model":[122],"time-dependent":[124],"problems.":[125],"advances":[127],"learning":[130],"by":[131],"improving":[132],"accuracy":[133],"efficiency,":[135],"enhancing":[136],"process":[137],"understanding,":[138],"broadening":[140],"applications":[141],"research.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-08-10T00:00:00"}
