{"id":"https://openalex.org/W2345845226","doi":"https://doi.org/10.1109/pacificvis.2016.7465252","title":"Rethinking sensitivity analysis of nuclear simulations with topology","display_name":"Rethinking sensitivity analysis of nuclear simulations with topology","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2345845226","doi":"https://doi.org/10.1109/pacificvis.2016.7465252","mag":"2345845226"},"language":"en","primary_location":{"id":"doi:10.1109/pacificvis.2016.7465252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2016.7465252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Pacific Visualization Symposium (PacificVis)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1348071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112096823","display_name":"Dan Maljovec","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dan Maljovec","raw_affiliation_strings":["SCI Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349956","display_name":"Bei Wang","orcid":"https://orcid.org/0000-0002-9240-0700"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bei Wang","raw_affiliation_strings":["SCI Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036159118","display_name":"Paul Rosen","orcid":"https://orcid.org/0000-0002-0873-9518"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Rosen","raw_affiliation_strings":["University of South Florida"],"affiliations":[{"raw_affiliation_string":"University of South Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054985283","display_name":"Andrea Alfonsi","orcid":"https://orcid.org/0000-0003-2866-4346"},"institutions":[{"id":"https://openalex.org/I2800102766","display_name":"Idaho National Laboratory","ror":"https://ror.org/00ty2a548","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I2800102766","https://openalex.org/I2801818860"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Alfonsi","raw_affiliation_strings":["Idaho National Laboratory"],"affiliations":[{"raw_affiliation_string":"Idaho National Laboratory","institution_ids":["https://openalex.org/I2800102766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001708429","display_name":"Giovanni Pastore","orcid":"https://orcid.org/0000-0003-2812-506X"},"institutions":[{"id":"https://openalex.org/I2800102766","display_name":"Idaho National Laboratory","ror":"https://ror.org/00ty2a548","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I2800102766","https://openalex.org/I2801818860"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giovanni Pastore","raw_affiliation_strings":["Idaho National Laboratory"],"affiliations":[{"raw_affiliation_string":"Idaho National Laboratory","institution_ids":["https://openalex.org/I2800102766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060596246","display_name":"Cristian Rabiti","orcid":"https://orcid.org/0000-0002-0108-5291"},"institutions":[{"id":"https://openalex.org/I2800102766","display_name":"Idaho National Laboratory","ror":"https://ror.org/00ty2a548","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I2800102766","https://openalex.org/I2801818860"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cristian Rabiti","raw_affiliation_strings":["Idaho National Laboratory"],"affiliations":[{"raw_affiliation_string":"Idaho National Laboratory","institution_ids":["https://openalex.org/I2800102766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009460413","display_name":"Valerio Pascucci","orcid":"https://orcid.org/0000-0002-8877-2042"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valerio Pascucci","raw_affiliation_strings":["SCI Institute, University of Utah"],"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112096823"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":2.8949,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91329976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"64","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9994000196456909,"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/T10799","display_name":"Data Visualization and Analytics","score":0.993399977684021,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9531000256538391,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.7047930955886841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6835552453994751},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.636620044708252},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.5506701469421387},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5310837626457214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4604831635951996},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4452294111251831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3788091242313385},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35150671005249023},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3251764178276062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3117314577102661},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13742172718048096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11739495396614075}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7047930955886841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835552453994751},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.636620044708252},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5506701469421387},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5310837626457214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4604831635951996},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4452294111251831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3788091242313385},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35150671005249023},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3251764178276062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3117314577102661},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13742172718048096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11739495396614075},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pacificvis.2016.7465252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2016.7465252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Pacific Visualization Symposium (PacificVis)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1348071","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1348071","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":"pmh:oai:osti.gov:1348071","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1348071","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},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320333921","display_name":"Idaho Operations Office, U.S. Department of Energy","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W13686424","https://openalex.org/W44839000","https://openalex.org/W98381297","https://openalex.org/W100464641","https://openalex.org/W178439390","https://openalex.org/W906099565","https://openalex.org/W999207820","https://openalex.org/W1486416230","https://openalex.org/W1526212284","https://openalex.org/W1594031697","https://openalex.org/W1746819321","https://openalex.org/W1964357740","https://openalex.org/W1970569592","https://openalex.org/W1971845780","https://openalex.org/W1974584593","https://openalex.org/W1977407837","https://openalex.org/W1979686514","https://openalex.org/W1995711095","https://openalex.org/W2011735049","https://openalex.org/W2016493615","https://openalex.org/W2018701348","https://openalex.org/W2020583644","https://openalex.org/W2027714334","https://openalex.org/W2037613900","https://openalex.org/W2041988397","https://openalex.org/W2060669545","https://openalex.org/W2060829018","https://openalex.org/W2068014716","https://openalex.org/W2078483536","https://openalex.org/W2082229705","https://openalex.org/W2091863491","https://openalex.org/W2092432791","https://openalex.org/W2096736341","https://openalex.org/W2102201073","https://openalex.org/W2107330811","https://openalex.org/W2126292488","https://openalex.org/W2137224043","https://openalex.org/W2144968255","https://openalex.org/W2148056538","https://openalex.org/W2149941548","https://openalex.org/W2165418521","https://openalex.org/W2171073562","https://openalex.org/W2186007333","https://openalex.org/W2330820318","https://openalex.org/W2800705832","https://openalex.org/W3099006712","https://openalex.org/W3203779568","https://openalex.org/W4211049957","https://openalex.org/W4232592636","https://openalex.org/W4233690291","https://openalex.org/W4244087459","https://openalex.org/W6600550370","https://openalex.org/W6624143200","https://openalex.org/W6628903707","https://openalex.org/W6642852546","https://openalex.org/W6655086462","https://openalex.org/W6686060569","https://openalex.org/W6785985989"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W1991093342","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W4376309286"],"abstract_inverted_index":{"In":[0,72],"nuclear":[1,9,22,44,86,153,186],"engineering,":[2],"understanding":[3],"the":[4,8,37,41,52,69,102,112,127,132,161],"safety":[5],"margins":[6],"of":[7,15,51,84,129],"reactor":[10],"via":[11],"simulations":[12],"is":[13,25,138,157],"arguably":[14],"paramount":[16],"importance":[17],"in":[18,36,58,65],"predicting":[19],"and":[20,67,82,94,143,166,173],"preventing":[21],"accidents.":[23],"It":[24],"therefore":[26],"crucial":[27],"to":[28,32,110,125,147,152],"perform":[29],"sensitivity":[30,53,80,150],"analysis":[31,81],"understand":[33],"how":[34],"changes":[35],"model":[38],"inputs":[39,130],"affect":[40],"outputs.":[42],"Modern":[43],"simulation":[45,87,183],"tools":[46],"rely":[47,100],"on":[48,96,101,131],"numerical":[49],"representations":[50],"information":[54,151],"\u2014":[55,61],"inherently":[56],"lacking":[57],"visual":[59,145],"encodings":[60],"offering":[62],"limited":[63],"effectiveness":[64],"communicating":[66],"exploring":[68],"generated":[70],"data.":[71],"this":[73],"paper,":[74],"we":[75],"design":[76,146],"a":[77,182],"framework":[78,156,169,180],"for":[79],"visualization":[83],"multidimensional":[85],"data":[88],"using":[89,181],"partition-based,":[90],"topology-inspired":[91],"regression":[92,105],"models":[93,121],"report":[95],"its":[97],"efficacy.":[98],"We":[99,177],"established":[103],"Morse-Smale":[104],"technique,":[106],"which":[107],"allows":[108],"us":[109],"partition":[111],"domain":[113],"into":[114,160],"monotonic":[115],"regions":[116],"where":[117],"easily":[118],"interpretable":[119],"linear":[120],"can":[122],"be":[123],"used":[124],"assess":[126],"influence":[128],"output":[133],"variability.":[134],"The":[135],"underlying":[136],"computation":[137],"augmented":[139],"with":[140],"an":[141],"intuitive":[142],"interactive":[144],"effectively":[148],"communicate":[149],"scientists.":[154],"Our":[155],"being":[158],"deployed":[159],"multipurpose":[162],"probabilistic":[163],"risk":[164],"assessment":[165],"uncertainty":[167],"quantification":[168],"RAVEN":[170],"(Reactor":[171],"Analysis":[172],"Virtual":[174],"Control":[175],"Environment).":[176],"evaluate":[178],"our":[179],"dataset":[184],"studying":[185],"fuel":[187],"performance.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
