{"id":"https://openalex.org/W4408298638","doi":"https://doi.org/10.2514/1.i011287","title":"Knowledge-Guided Tensor Decomposition for Approximation of and Discovery in Complex and Turbulent Flows","display_name":"Knowledge-Guided Tensor Decomposition for Approximation of and Discovery in Complex and Turbulent Flows","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408298638","doi":"https://doi.org/10.2514/1.i011287"},"language":"en","primary_location":{"id":"doi:10.2514/1.i011287","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011287","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5022265083","display_name":"Christopher M. Coley","orcid":"https://orcid.org/0000-0001-7306-496X"},"institutions":[{"id":"https://openalex.org/I430641","display_name":"United States Air Force Academy","ror":"https://ror.org/0055d0g64","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I430641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Coley","raw_affiliation_strings":["United States Air Force Academy"],"raw_orcid":"https://orcid.org/0000-0001-7306-496X","affiliations":[{"raw_affiliation_string":"United States Air Force Academy","institution_ids":["https://openalex.org/I430641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057458906","display_name":"Joy Metzler","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joy Metzler","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05797101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"4","first_page":"247","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9843000173568726,"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/T11254","display_name":"Fluid Dynamics and Vibration Analysis","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/decomposition","display_name":"Decomposition","score":0.55623859167099},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4971831142902374},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.4814004898071289},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4627404808998108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41091442108154297},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.35368478298187256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3161865472793579},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2880241274833679},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.16313102841377258},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14343580603599548}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.55623859167099},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4971831142902374},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.4814004898071289},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4627404808998108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41091442108154297},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.35368478298187256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3161865472793579},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2880241274833679},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.16313102841377258},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14343580603599548},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i011287","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011287","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1605780548","https://openalex.org/W1963826206","https://openalex.org/W1969549583","https://openalex.org/W1981857248","https://openalex.org/W1993482030","https://openalex.org/W1997815093","https://openalex.org/W2000215628","https://openalex.org/W2000359198","https://openalex.org/W2005126631","https://openalex.org/W2006891733","https://openalex.org/W2008114373","https://openalex.org/W2024165284","https://openalex.org/W2031216664","https://openalex.org/W2047425707","https://openalex.org/W2061370212","https://openalex.org/W2094286023","https://openalex.org/W2119741678","https://openalex.org/W2132267493","https://openalex.org/W2140862024","https://openalex.org/W2157382843","https://openalex.org/W2328268793","https://openalex.org/W2467067030","https://openalex.org/W2482092413","https://openalex.org/W2494173650","https://openalex.org/W2750627203","https://openalex.org/W2786288020","https://openalex.org/W2898157742","https://openalex.org/W2914442069","https://openalex.org/W2915098601","https://openalex.org/W2946775609","https://openalex.org/W2951881727","https://openalex.org/W2962935563","https://openalex.org/W2989768142","https://openalex.org/W3005990752","https://openalex.org/W3100015594","https://openalex.org/W3103400026","https://openalex.org/W4221005158","https://openalex.org/W4238160257","https://openalex.org/W4251274027","https://openalex.org/W4283205490","https://openalex.org/W4317583770"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"This":[0],"work":[1],"provides":[2,111],"an":[3,52],"in-depth":[4],"investigation":[5],"into":[6,96],"the":[7,30,41,49,76,90,97,100,117,123,166,181,184,195,213],"use":[8],"of":[9,45,78,99,119,183,215],"a":[10,27,62,67],"knowledge-guided":[11,79,101,108,137,188],"tensor":[12,54,80,102,109,112,131,138,170,189,201],"decomposition":[13,55,81,103,110,139,190],"method":[14,31,104],"to":[15,34,82,126,194,199],"compactly":[16],"represent":[17,86],"coherent":[18,87,120],"structures":[19,47,88,121],"from":[20],"complex":[21],"and":[22,43,71,92,149],"turbulent":[23,72,157],"flowfields.":[24],"By":[25],"utilizing":[26],"guided":[28],"decomposition,":[29],"is":[32,164,174],"able":[33],"produce":[35,83],"components":[36,84,113,134],"that":[37,85,143,176],"are":[38,144,150,205],"useful":[39],"for":[40,116,168],"identification":[42,118],"discovery":[44],"spatiotemporal":[46],"in":[48,89,122,212],"flow":[50,65,91,124],"where":[51],"unguided":[53,130,169,200],"cannot.":[56],"Through":[57],"three":[58],"investigative":[59],"cases\u2014flow":[60],"over":[61,66],"stationary":[63],"cylinder,":[64],"NACA":[68],"4412":[69],"airfoil,":[70],"channel":[73],"flow\u2014we":[74],"demonstrate":[75],"ability":[77],"gain":[93],"much":[94],"insight":[95],"characteristics":[98],"presented":[105],"here.":[106],"First,":[107],"better":[114],"suited":[115],"compared":[125,198],"those":[127],"provided":[128],"by":[129,136,146,152,207],"decomposition.":[132,171,202],"The":[133],"created":[135],"have":[140],"spatial":[141],"modes":[142,148],"modulated":[145],"temporal":[147],"organized":[151],"physical":[153],"characteristics,":[154],"such":[155],"as":[156,218],"kinetic":[158],"energy":[159],"or":[160,209],"frequency":[161],"content,":[162],"which":[163],"not":[165],"case":[167],"Furthermore,":[172],"it":[173],"shown":[175],"providing":[177],"guidance":[178],"information":[179],"reduces":[180],"variability":[182,193],"results.":[185],"In":[186],"general,":[187],"shows":[191],"less":[192],"initial":[196],"guess":[197],"These":[203],"benefits":[204],"accompanied":[206],"improved":[208],"equal":[210],"accuracy":[211],"prediction":[214],"aerodynamic":[216],"coefficients":[217],"well.":[219]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}