{"id":"https://openalex.org/W4210583307","doi":"https://doi.org/10.1115/1.4053752","title":"A Framework for Inverse Prediction Using Functional Response Data","display_name":"A Framework for Inverse Prediction Using Functional Response Data","publication_year":2022,"publication_date":"2022-02-03","ids":{"openalex":"https://openalex.org/W4210583307","doi":"https://doi.org/10.1115/1.4053752"},"language":"en","primary_location":{"id":"doi:10.1115/1.4053752","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4053752","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/23/1/011002/6882078/jcise_23_1_011002.pdf","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":true,"oa_status":"bronze","oa_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/23/1/011002/6882078/jcise_23_1_011002.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024908504","display_name":"Daniel Ries","orcid":"https://orcid.org/0000-0002-5029-4647"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Ries","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM 87185"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM 87185","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088726264","display_name":"Adah Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adah Zhang","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM 87185"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM 87185","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003944171","display_name":"James D. Tucker","orcid":"https://orcid.org/0000-0001-8844-2169"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Derek Tucker","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM 87185"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM 87185","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041094508","display_name":"Kurtis Shuler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurtis Shuler","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM 87185"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM 87185","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113945352","display_name":"Madeline Ausdemore","orcid":null},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madeline Ausdemore","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM 87545"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM 87545","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024908504"],"corresponding_institution_ids":["https://openalex.org/I4210104735"],"apc_list":null,"apc_paid":null,"fwci":0.9318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77246192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7204368114471436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6782206296920776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6281933784484863},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5718861222267151},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5521440505981445},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.5148198008537292},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5131288170814514},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.4451078772544861},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39349859952926636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32887035608291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2711389660835266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20065554976463318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1392655372619629}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7204368114471436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782206296920776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6281933784484863},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5718861222267151},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5521440505981445},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.5148198008537292},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5131288170814514},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.4451078772544861},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39349859952926636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32887035608291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2711389660835266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20065554976463318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1392655372619629},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1115/1.4053752","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4053752","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/23/1/011002/6882078/jcise_23_1_011002.pdf","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"},{"id":"pmh:oai:osti.gov:1882881","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1882881","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1115/1.4053752","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4053752","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/23/1/011002/6882078/jcise_23_1_011002.pdf","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210583307.pdf","grobid_xml":"https://content.openalex.org/works/W4210583307.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W338288148","https://openalex.org/W898915059","https://openalex.org/W1654540829","https://openalex.org/W1973333099","https://openalex.org/W1995945562","https://openalex.org/W2021873216","https://openalex.org/W2024923922","https://openalex.org/W2078454401","https://openalex.org/W2082456610","https://openalex.org/W2091230023","https://openalex.org/W2092612581","https://openalex.org/W2102201073","https://openalex.org/W2135014481","https://openalex.org/W2160838810","https://openalex.org/W2162870748","https://openalex.org/W2165168736","https://openalex.org/W2191641151","https://openalex.org/W2253182371","https://openalex.org/W2529762274","https://openalex.org/W2766337717","https://openalex.org/W2944290620","https://openalex.org/W3007995834","https://openalex.org/W3098777574","https://openalex.org/W4214848396","https://openalex.org/W4237948290","https://openalex.org/W4255272544","https://openalex.org/W4292156489","https://openalex.org/W6675321329","https://openalex.org/W6987827268"],"related_works":["https://openalex.org/W2943623134","https://openalex.org/W2299080873","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W2938171715","https://openalex.org/W4287727129","https://openalex.org/W3041172967","https://openalex.org/W2749065928"],"abstract_inverted_index":{"Abstract":[0],"Inverse":[1],"prediction":[2,70,91],"models":[3,144],"have":[4],"commonly":[5],"been":[6],"developed":[7],"to":[8,22,39,85,110,133,137],"handle":[9],"scalar":[10],"data":[11,21,29,84,135],"from":[12],"physical":[13],"experiments.":[14],"However,":[15],"it":[16,35],"is":[17,100],"not":[18],"uncommon":[19],"for":[20],"be":[23,37,62,106],"collected":[24,31],"in":[25,32,49,81],"functional":[26,33,68,82,143],"form.":[27],"When":[28],"are":[30],"form,":[34],"must":[36],"aggregated":[38],"fit":[40],"the":[41,67,78,95,121,147],"form":[42],"of":[43,52,59,117,125,151],"traditional":[44],"methods,":[45],"which":[46,76],"often":[47],"results":[48],"a":[50,73,101,128],"loss":[51,58],"information.":[53],"For":[54],"expensive":[55],"experiments,":[56],"this":[57],"information":[60,80],"can":[61,105,145],"costly.":[63],"This":[64],"paper":[65],"introduces":[66],"inverse":[69,87],"(FIP)":[71],"framework,":[72,122],"general":[74,102],"approach":[75],"uses":[77],"full":[79],"response":[83],"provide":[86],"predictions":[88],"with":[89,94,127],"probabilistic":[90],"uncertainties":[92],"obtained":[93],"bootstrap.":[96],"The":[97],"FIP":[98],"framework":[99],"methodology":[103],"that":[104],"modified":[107],"by":[108],"practitioners":[109],"accommodate":[111],"many":[112],"different":[113],"applications":[114,132],"and":[115,131,136,149],"types":[116],"data.":[118],"We":[119],"demonstrate":[120],"highlighting":[123],"points":[124],"flexibility,":[126],"simulation":[129],"example":[130],"weather":[134],"nuclear":[138],"forensics.":[139],"Results":[140],"show":[141],"how":[142],"improve":[146],"accuracy":[148],"precision":[150],"predictions.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
