{"id":"https://openalex.org/W4404527384","doi":"https://doi.org/10.1145/3687946","title":"Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics","display_name":"Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404527384","doi":"https://doi.org/10.1145/3687946"},"language":"en","primary_location":{"id":"doi:10.1145/3687946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687946","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5093467559","display_name":"Ty Trusty","orcid":"https://orcid.org/0009-0001-7261-2044"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ty Trusty","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0009-0001-7261-2044","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014119303","display_name":"Yun Fei","orcid":"https://orcid.org/0000-0001-8553-1377"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun (Raymond) Fei","raw_affiliation_strings":["Adobe Research, San Francisco, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-8553-1377","affiliations":[{"raw_affiliation_string":"Adobe Research, San Francisco, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101653832","display_name":"David Levin","orcid":"https://orcid.org/0000-0001-5404-9828"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David Levin","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5404-9828","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056691897","display_name":"Danny M. Kaufman","orcid":"https://orcid.org/0009-0000-2864-2089"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danny Kaufman","raw_affiliation_strings":["Adobe Research, Seattle, United States of America"],"raw_orcid":"https://orcid.org/0009-0000-2864-2089","affiliations":[{"raw_affiliation_string":"Adobe Research, Seattle, United States of America","institution_ids":["https://openalex.org/I1306409833","https://openalex.org/I58610484"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7191,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85772408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/subspace-topology","display_name":"Subspace topology","score":0.680427074432373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5805022716522217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3500507175922394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20530974864959717}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.680427074432373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5805022716522217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3500507175922394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20530974864959717}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687946","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G886931076","display_name":null,"funder_award_id":"503114","funder_id":"https://openalex.org/F4320324245","funder_display_name":"Connaught Fund"}],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320324245","display_name":"Connaught Fund","ror":"https://ror.org/03dbr7087"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1568806545","https://openalex.org/W1967152690","https://openalex.org/W1988888548","https://openalex.org/W2024243735","https://openalex.org/W2051962838","https://openalex.org/W2055035360","https://openalex.org/W2059469850","https://openalex.org/W2062740692","https://openalex.org/W2075605912","https://openalex.org/W2089024363","https://openalex.org/W2089182646","https://openalex.org/W2103111465","https://openalex.org/W2123661072","https://openalex.org/W2124969394","https://openalex.org/W2132836675","https://openalex.org/W2144909146","https://openalex.org/W2530006557","https://openalex.org/W2551533682","https://openalex.org/W2611752399","https://openalex.org/W2738259880","https://openalex.org/W2791693147","https://openalex.org/W2809769628","https://openalex.org/W2959139145","https://openalex.org/W2964994311","https://openalex.org/W3016205154","https://openalex.org/W3048889784","https://openalex.org/W3097183828","https://openalex.org/W3104001151","https://openalex.org/W3111036211","https://openalex.org/W3137158176","https://openalex.org/W3150308547","https://openalex.org/W3178714617","https://openalex.org/W3183067110","https://openalex.org/W4211264908","https://openalex.org/W4235375376","https://openalex.org/W4254717764","https://openalex.org/W4286611164","https://openalex.org/W4286611172","https://openalex.org/W4286616145","https://openalex.org/W4385271086","https://openalex.org/W4385275470","https://openalex.org/W4385276691","https://openalex.org/W4391282611","https://openalex.org/W4400702585"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1980381208","https://openalex.org/W2051487156","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W2073681303","https://openalex.org/W1861706286","https://openalex.org/W2390279801"],"abstract_inverted_index":{"We":[0,77,132],"construct":[1],"a":[2,84,95,140],"subspace":[3,22,36,61,67,75],"simulator":[4,18],"that":[5,93],"adaptively":[6],"balances":[7],"solution":[8,37],"improvement":[9],"against":[10],"system":[11],"size.":[12],"The":[13],"core":[14],"components":[15],"of":[16,74,97,136,143,162],"our":[17,57,79,90,109,137],"are":[19,107,125],"an":[20],"adaptive":[21],"oracle,":[23],"model,":[24],"and":[25,39,50,69,81,153,159],"parallel":[26,86],"time-step":[27,87],"solver":[28,88],"algorithm.":[29],"Our":[30],"in-time-step":[31],"adaptivity":[32,58],"oracle":[33,80],"continually":[34],"assesses":[35],"quality":[38],"candidate":[40],"update":[41],"proposals":[42],"while":[43],"accounting":[44],"for":[45,89],"temporal":[46],"variations":[47,52],"in":[48,53],"deformation":[49],"spatial":[51],"material.":[54],"In":[55],"turn":[56],"model":[59,82,110],"is":[60],"agnostic.":[62],"It":[63],"allows":[64],"application":[65],"across":[66,139],"representations":[68],"expresses":[70],"unrestricted":[71],"deformations":[72],"independent":[73],"choice.":[76],"couple":[78],"with":[83],"custom-constructed":[85],"enriched":[91],"systems":[92],"exposes":[94],"pair":[96],"user":[98],"tolerances":[99,106,124],"which":[100],"provide":[101],"controllable":[102],"simulation":[103,130],"quality.":[104],"As":[105],"tightened":[108],"converges":[111],"to":[112],"full-space":[113],"solutions":[114],"(with":[115],"expected":[116],"cost":[117],"increases).":[118],"On":[119],"the":[120,134],"other":[121],"hand,":[122],"as":[123],"relaxed":[126],"we":[127],"obtain":[128],"output-bound":[129],"costs.":[131],"demonstrate":[133],"efficacy":[135],"approach":[138],"wide":[141],"range":[142],"challenging":[144],"nonlinear":[145],"materials":[146],"models,":[147],"material":[148],"stiffnesses,":[149],"heterogeneities,":[150],"dynamic":[151],"behaviors,":[152],"frictionally":[154],"contacting":[155],"conditions,":[156],"obtaining":[157],"scalable":[158],"efficient":[160],"simulations":[161],"complex":[163],"elastodynamic":[164],"scenarios.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}
