{"id":"https://openalex.org/W1981382127","doi":"https://doi.org/10.1145/1015706.1015745","title":"Simulating water and smoke with an octree data structure","display_name":"Simulating water and smoke with an octree data structure","publication_year":2004,"publication_date":"2004-08-01","ids":{"openalex":"https://openalex.org/W1981382127","doi":"https://doi.org/10.1145/1015706.1015745","mag":"1981382127"},"language":"en","primary_location":{"id":"doi:10.1145/1015706.1015745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015706.1015745","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/A5077973472","display_name":"Frank Losasso","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Frank Losasso","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081112761","display_name":"Fr\u00e9d\u00e9ric Gibou","orcid":"https://orcid.org/0000-0001-7022-5262"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Gibou","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046653951","display_name":"Ron Fedkiw","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ron Fedkiw","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077973472"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":52.6552,"has_fulltext":false,"cited_by_count":551,"citation_normalized_percentile":{"value":0.99959555,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"457","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9907000064849854,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/octree","display_name":"Octree","score":0.9598126411437988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5747886896133423},{"id":"https://openalex.org/keywords/poissons-equation","display_name":"Poisson's equation","score":0.544771134853363},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4791557192802429},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.46906590461730957},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.42568543553352356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3405560851097107},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3258378505706787},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.32533133029937744},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2558586597442627},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2531220316886902},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24937474727630615},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14210787415504456},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12839314341545105}],"concepts":[{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.9598126411437988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5747886896133423},{"id":"https://openalex.org/C96716743","wikidata":"https://www.wikidata.org/wiki/Q827688","display_name":"Poisson's equation","level":2,"score":0.544771134853363},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4791557192802429},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.46906590461730957},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.42568543553352356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3405560851097107},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3258378505706787},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32533133029937744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2558586597442627},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2531220316886902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24937474727630615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14210787415504456},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12839314341545105}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1015706.1015745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015706.1015745","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.9380","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.9380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.stanford.edu/~fedkiw/papers/stanford2004-02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W51632320","https://openalex.org/W1506342804","https://openalex.org/W1553783135","https://openalex.org/W1966158133","https://openalex.org/W1975059575","https://openalex.org/W1975943852","https://openalex.org/W1976102928","https://openalex.org/W1977150043","https://openalex.org/W1986114448","https://openalex.org/W1999244633","https://openalex.org/W2001254200","https://openalex.org/W2003881039","https://openalex.org/W2009444993","https://openalex.org/W2017765063","https://openalex.org/W2021969809","https://openalex.org/W2031178395","https://openalex.org/W2037828060","https://openalex.org/W2051461445","https://openalex.org/W2054320306","https://openalex.org/W2056191098","https://openalex.org/W2056543912","https://openalex.org/W2060003021","https://openalex.org/W2062515718","https://openalex.org/W2066326804","https://openalex.org/W2074429597","https://openalex.org/W2077047259","https://openalex.org/W2077468478","https://openalex.org/W2079466024","https://openalex.org/W2080050826","https://openalex.org/W2084494321","https://openalex.org/W2086499250","https://openalex.org/W2098588961","https://openalex.org/W2099953968","https://openalex.org/W2100440187","https://openalex.org/W2105673236","https://openalex.org/W2108759333","https://openalex.org/W2111114243","https://openalex.org/W2119259336","https://openalex.org/W2125232223","https://openalex.org/W2141435354","https://openalex.org/W2143745655","https://openalex.org/W2220625991","https://openalex.org/W2237109911","https://openalex.org/W2237767100","https://openalex.org/W2245672305","https://openalex.org/W2247094253","https://openalex.org/W2249773824","https://openalex.org/W2293872924","https://openalex.org/W2295821368","https://openalex.org/W2561843528","https://openalex.org/W2997251730","https://openalex.org/W2998100778","https://openalex.org/W2998376235","https://openalex.org/W2998649743","https://openalex.org/W2998888370","https://openalex.org/W3007604728","https://openalex.org/W3009857971","https://openalex.org/W4239511819","https://openalex.org/W4239659322","https://openalex.org/W4254651333","https://openalex.org/W4256721759","https://openalex.org/W4292169137","https://openalex.org/W4382891143"],"related_works":["https://openalex.org/W3120681047","https://openalex.org/W3196835088","https://openalex.org/W2032885507","https://openalex.org/W2320335999","https://openalex.org/W2073633980","https://openalex.org/W2328168579","https://openalex.org/W1451632959","https://openalex.org/W1984968628","https://openalex.org/W2912343678","https://openalex.org/W2986156326"],"abstract_inverted_index":{"We":[0,26],"present":[1],"a":[2,28,74],"method":[3],"for":[4,31],"simulating":[5],"water":[6],"and":[7,98,124],"smoke":[8,96],"on":[9,36,68,105],"an":[10,69,106],"unrestricted":[11],"octree":[12,38,70,107],"data":[13],"structure":[14],"exploiting":[15],"mesh":[16],"refinement":[17,117],"techniques":[18],"to":[19,64,83,92],"capture":[20],"the":[21,33,49,61,65,94,100,110,128,135,140,144],"small":[22],"scale":[23],"visual":[24],"detail.":[25],"propose":[27],"new":[29],"technique":[30,89],"discretizing":[32],"Poisson":[34,66],"equation":[35,67],"this":[37],"grid.":[39],"The":[40,85],"resulting":[41],"linear":[42,76],"system":[43,77],"is":[44,79,90],"symmetric":[45],"positive":[46],"definite":[47],"enabling":[48],"use":[50],"of":[51,112,130,143],"fast":[52],"solution":[53],"methods":[54],"such":[55],"as":[56,137],"preconditioned":[57],"conjugate":[58],"gradients,":[59],"whereas":[60],"standard":[62],"approximation":[63],"grid":[71],"results":[72],"in":[73],"non-symmetric":[75],"which":[78],"more":[80],"computationally":[81],"challenging":[82],"invert.":[84],"semi-Lagrangian":[86],"characteristic":[87],"tracing":[88],"used":[91],"advect":[93],"velocity,":[95],"density,":[97],"even":[99],"level":[101,145],"set":[102,146],"making":[103],"implementation":[104],"straightforward.":[108],"In":[109,127],"case":[111,129],"smoke,":[113],"we":[114,132],"have":[115],"multiple":[116],"criteria":[118],"including":[119],"object":[120],"boundaries,":[121],"optical":[122],"depth,":[123],"vorticity":[125],"concentration.":[126],"water,":[131],"refine":[133],"near":[134],"interface":[136],"determined":[138],"by":[139],"zero":[141],"isocontour":[142],"function.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":28},{"year":2014,"cited_by_count":22},{"year":2013,"cited_by_count":32},{"year":2012,"cited_by_count":33}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
