{"id":"https://openalex.org/W7164850964","doi":"https://doi.org/10.48550/arxiv.2606.13742","title":"A fully GPU-based workflow for building physics emulators of hypersonic flows","display_name":"A fully GPU-based workflow for building physics emulators of hypersonic flows","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164850964","doi":"https://doi.org/10.48550/arxiv.2606.13742"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.13742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13742","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.13742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116249013","display_name":"Fabian Paischer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paischer, Fabian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051383343","display_name":"Dylan Rubini","orcid":"https://orcid.org/0009-0005-0747-4211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rubini, Dylan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062087783","display_name":"Deniz A. Bezgin","orcid":"https://orcid.org/0000-0001-5299-3102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bezgin, Deniz A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035900672","display_name":"Aaron B. Buhendwa","orcid":"https://orcid.org/0000-0002-6182-8085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Buhendwa, Aaron B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138633245","display_name":"David Hauser","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hauser, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094105847","display_name":"Florian Sestak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sestak, Florian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138667727","display_name":"Johannes Brandstetter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brandstetter, Johannes","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034422838","display_name":"Sebastian Kaltenbach","orcid":"https://orcid.org/0000-0002-4261-7282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaltenbach, Sebastian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121671378","display_name":"Nikolaus A. Adams","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adams, Nikolaus A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9645000100135803,"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":0.9645000100135803,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0024999999441206455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6915000081062317},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6047000288963318},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5307999849319458},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5087000131607056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4634999930858612},{"id":"https://openalex.org/keywords/hypersonic-speed","display_name":"Hypersonic speed","score":0.38999998569488525},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.38839998841285706},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.37599998712539673},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3686999976634979}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6915000081062317},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6047000288963318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007000207901001},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.44769999384880066},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.43050000071525574},{"id":"https://openalex.org/C122824865","wikidata":"https://www.wikidata.org/wiki/Q830787","display_name":"Hypersonic speed","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C50805821","wikidata":"https://www.wikidata.org/wiki/Q1136670","display_name":"Titan (rocket family)","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C86252789","wikidata":"https://www.wikidata.org/wiki/Q2247765","display_name":"Inviscid flow","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C2779199153","wikidata":"https://www.wikidata.org/wiki/Q43965","display_name":"Quadcopter","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.13742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13742","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.13742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13742","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5810274481773376,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"ability":[1],"to":[2,17,44,58,72,139,160],"resolve":[3],"complex":[4],"physical":[5,80,141,189],"phenomena":[6],"with":[7,42,79,102],"high":[8],"fidelity":[9],"and":[10,48,54,67,112,132,155,164,179,187,194],"at":[11],"low":[12],"computational":[13],"cost":[14],"is":[15,50,117],"central":[16],"addressing":[18],"key":[19,208],"challenges":[20],"in":[21,28,40,76,82,213],"modern":[22],"engineering.":[23],"A":[24],"prime":[25],"example":[26],"lies":[27],"hypersonic":[29,55],"flows,":[30],"where":[31,176],"the":[32,36,103,136],"precise":[33],"prediction":[34],"of":[35,84,105,135,152],"full":[37],"flowfield":[38],"topology,":[39],"particular":[41],"respect":[43],"shock":[45],"wave":[46],"location":[47],"intensity,":[49],"critical.":[51],"Yet":[52],"supersonic":[53],"flows":[56],"continue":[57],"be":[59],"a":[60,92,120,150,207],"stumbling":[61],"block":[62],"for":[63,128,210],"traditional":[64],"reduced-order":[65],"models":[66],"neural":[68,106,137],"emulators":[69,107,199],"that":[70,88,97,169,200],"struggle":[71],"capture":[73],"steep":[74],"gradients":[75],"flow":[77],"states":[78],"consistency":[81],"applications":[83],"industrial":[85],"relevance.":[86],"To":[87],"end,":[89],"we":[90,126,147],"introduce":[91],"fully":[93],"GPU":[94],"based":[95],"workflow":[96,116],"integrates":[98],"accelerated":[99],"data":[100],"generation":[101],"training":[104,173,205],"augmented":[108],"by":[109,119],"uncertainty":[110],"quantification":[111],"physics-aware":[113],"refinement.":[114],"Our":[115],"enabled":[118],"differentiable":[121,192],"high-fidelity":[122],"solver":[123],"(JAX-Fluids)":[124],"which":[125],"employ":[127],"rapid":[129],"dataset":[130],"creation":[131],"residual-based":[133,170,195],"improvement":[134],"emulator":[138],"enhance":[140],"consistency.":[142,190],"Building":[143],"on":[144,174],"this":[145],"framework,":[146],"first":[148],"present":[149],"suite":[151],"model":[153],"architectures":[154],"analyze":[156],"their":[157,162,204],"scaling":[158],"behavior":[159],"expose":[161],"strengths":[163],"shortcomings.":[165],"We":[166],"then":[167],"show":[168],"refinement":[171,196],"enables":[172],"cases":[175],"only":[177],"mesh":[178],"input":[180],"parameters":[181],"are":[182],"available,":[183],"substantially":[184],"reducing":[185],"residuals":[186],"improving":[188],"Together,":[191],"simulation":[193],"yield":[197],"physics":[198],"remain":[201],"reliable":[202],"beyond":[203],"distribution,":[206],"requirement":[209],"deploying":[211],"surrogates":[212],"real-world":[214],"engineering":[215],"design":[216],"loops.":[217]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}
