{"id":"https://openalex.org/W4392382463","doi":"https://doi.org/10.1115/1.4064986","title":"Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts","display_name":"Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392382463","doi":"https://doi.org/10.1115/1.4064986"},"language":"en","primary_location":{"id":"doi:10.1115/1.4064986","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4064986","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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/A5034577579","display_name":"John C. Steuben","orcid":"https://orcid.org/0000-0001-7246-4769"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. C. Steuben","raw_affiliation_strings":["U.S. Naval Research Laboratory Computational Multiphysics Systems Laboratory, , Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory Computational Multiphysics Systems Laboratory, , Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111935554","display_name":"A. B. Geltmacher","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. B. Geltmacher","raw_affiliation_strings":["U.S. Naval Research Laboratory Simulations and Imaging Section, Materials Science and Technology Division, , Washington, DC 20375","United States Naval Research Laboratory Simulations and Imaging Section, Materials Science and Technology Division, , Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory Simulations and Imaging Section, Materials Science and Technology Division, , Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"United States Naval Research Laboratory Simulations and Imaging Section, Materials Science and Technology Division, , Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103203692","display_name":"Sabrina N Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. N. Rodriguez","raw_affiliation_strings":["U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022892456","display_name":"Benjamin Graber","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. D. Graber","raw_affiliation_strings":["U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042243044","display_name":"Athanasios Iliopoulos","orcid":"https://orcid.org/0000-0002-6019-1190"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. P. Iliopoulos","raw_affiliation_strings":["U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074248390","display_name":"John G. Michopoulos","orcid":"https://orcid.org/0000-0001-7004-6838"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. G. Michopoulos","raw_affiliation_strings":["U.S. Naval Research Laboratory Computational Multiphysics Systems Laboratory, , Washington, DC 20375"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory Computational Multiphysics Systems Laboratory, , Washington, DC 20375","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1288214837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02599105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"5","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":0.9969000220298767,"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":0.9969000220298767,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/multiphysics","display_name":"Multiphysics","score":0.8975724577903748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5900167226791382},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5248273015022278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4041229486465454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38602837920188904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3625170588493347},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34630894660949707},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.343999981880188},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3163034915924072},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.1398192048072815},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.08920818567276001}],"concepts":[{"id":"https://openalex.org/C46435376","wikidata":"https://www.wikidata.org/wiki/Q1829750","display_name":"Multiphysics","level":3,"score":0.8975724577903748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5900167226791382},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5248273015022278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4041229486465454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38602837920188904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3625170588493347},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34630894660949707},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.343999981880188},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3163034915924072},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.1398192048072815},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.08920818567276001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4064986","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4064986","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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":57,"referenced_works":["https://openalex.org/W1529267578","https://openalex.org/W1544956813","https://openalex.org/W1556473642","https://openalex.org/W1678356000","https://openalex.org/W1967795091","https://openalex.org/W1976521104","https://openalex.org/W2003233718","https://openalex.org/W2006461826","https://openalex.org/W2008056655","https://openalex.org/W2011315860","https://openalex.org/W2039716701","https://openalex.org/W2049753327","https://openalex.org/W2050947749","https://openalex.org/W2054640142","https://openalex.org/W2068991306","https://openalex.org/W2074984119","https://openalex.org/W2085147601","https://openalex.org/W2102201073","https://openalex.org/W2109606373","https://openalex.org/W2115511946","https://openalex.org/W2119468597","https://openalex.org/W2120101088","https://openalex.org/W2123473837","https://openalex.org/W2132083787","https://openalex.org/W2145475762","https://openalex.org/W2147836374","https://openalex.org/W2149723649","https://openalex.org/W2154097358","https://openalex.org/W2157812230","https://openalex.org/W2171641626","https://openalex.org/W2203714058","https://openalex.org/W2270330859","https://openalex.org/W2540943031","https://openalex.org/W2804446681","https://openalex.org/W2920893491","https://openalex.org/W2963429358","https://openalex.org/W2964822557","https://openalex.org/W3015706362","https://openalex.org/W3097109207","https://openalex.org/W3105772578","https://openalex.org/W3123421154","https://openalex.org/W3133208093","https://openalex.org/W3134718908","https://openalex.org/W4286781802","https://openalex.org/W4300672471","https://openalex.org/W4304615543","https://openalex.org/W4308977993","https://openalex.org/W4312561888","https://openalex.org/W4317213985","https://openalex.org/W4388873729","https://openalex.org/W6642196788","https://openalex.org/W6653159791","https://openalex.org/W6675321329","https://openalex.org/W6728943543","https://openalex.org/W6759972308","https://openalex.org/W6786072376","https://openalex.org/W6847473922"],"related_works":["https://openalex.org/W2084426624","https://openalex.org/W3026055904","https://openalex.org/W2792869497","https://openalex.org/W4312133600","https://openalex.org/W2567205727","https://openalex.org/W2361803029","https://openalex.org/W2548694948","https://openalex.org/W2304501688","https://openalex.org/W4312747563","https://openalex.org/W2010566957"],"abstract_inverted_index":{"Abstract":[0],"The":[1,132],"presence":[2],"of":[3,25,35,42,52,60,71,79,120,130,135,143,159,190,200,217,224],"gaps":[4,30,81,100,144,203],"and":[5,19,40,45,62,82,90,197,221,228],"spurious":[6],"nonphysical":[7],"artifacts":[8,162],"in":[9,16,76,101,145],"datasets":[10,128],"is":[11,108,138],"a":[12,92,146,222],"nearly":[13],"ubiquitous":[14],"problem":[15,158],"many":[17],"scientific":[18],"engineering":[20],"domains.":[21],"In":[22,49,84],"the":[23,43,50,58,77,85,113,117,121,141,157,187,195,198,201,205,214,218],"context":[24],"multiphysics":[26,102,119,147],"numerical":[27],"models,":[28],"data":[29,53,63,80],"may":[31,74],"arise":[32],"from":[33,55,150,163,194],"lack":[34],"coordination":[36],"between":[37],"modeling":[38],"elements":[39],"limitations":[41,59],"discretization":[44],"solver":[46],"schemes":[47],"employed.":[48],"case":[51],"derived":[54],"physical":[56],"experiments,":[57],"sensing":[61],"acquisition":[64],"technologies,":[65],"as":[66,68],"well":[67],"myriad":[69],"sources":[70],"experimental":[72,171],"noise,":[73],"result":[75],"generation":[78],"artifacts.":[83],"present":[86],"work,":[87],"we":[88,155],"develop":[89],"demonstrate":[91],"machine":[93],"learning":[94],"(ML)":[95],"meta-framework":[96],"for":[97,173,230],"repairing":[98],"such":[99],"datasets.":[103,168],"A":[104,169],"unique":[105,170,215],"\u201ccross-training\u201d":[106],"methodology":[107,172],"used":[109],"to":[110],"ensure":[111],"that":[112],"ML":[114,206],"models":[115],"capture":[116],"underlying":[118],"input":[122],"datasets,":[123,196],"without":[124],"requiring":[125],"training":[126],"on":[127],"free":[129],"gaps/artifacts.":[131],"general":[133],"utility":[134],"this":[136,231],"approach":[137],"demonstrated":[139],"by":[140],"repair":[142],"dataset":[148],"taken":[149],"hypervelocity":[151],"impact":[152],"simulations.":[153],"Subsequently,":[154],"examine":[156],"removing":[160],"scan":[161],"X-ray":[164],"computed":[165],"microtomographic":[166],"(XCMT)":[167],"acquiring":[174],"XCMT":[175],"data,":[176],"wherein":[177],"articles":[178],"are":[179],"scanned":[180],"multiple":[181],"times":[182],"under":[183],"different":[184],"conditions,":[185],"enables":[186],"ready":[188],"identification":[189],"artifacts,":[191],"their":[192],"removal":[193],"filling":[199],"resulting":[202],"using":[204],"framework.":[207],"This":[208],"work":[209],"concludes":[210],"with":[211],"observations":[212],"regarding":[213],"features":[216],"developed":[219],"methodology,":[220],"discussion":[223],"potential":[225],"future":[226],"developments":[227],"applications":[229],"technology.":[232]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
