{"id":"https://openalex.org/W2964153565","doi":"https://doi.org/10.1515/jnma-2019-0015","title":"Doubly-adaptive artificial compression methods for incompressible flow","display_name":"Doubly-adaptive artificial compression methods for incompressible flow","publication_year":2020,"publication_date":"2020-01-03","ids":{"openalex":"https://openalex.org/W2964153565","doi":"https://doi.org/10.1515/jnma-2019-0015","mag":"2964153565"},"language":"en","primary_location":{"id":"doi:10.1515/jnma-2019-0015","is_oa":false,"landing_page_url":"https://doi.org/10.1515/jnma-2019-0015","pdf_url":null,"source":{"id":"https://openalex.org/S60483245","display_name":"Journal of Numerical Mathematics","issn_l":"1569-3953","issn":["1569-3953","1570-2820"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Numerical Mathematics","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.08235","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064202954","display_name":"William Layton","orcid":"https://orcid.org/0000-0002-2539-4478"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Layton","raw_affiliation_strings":["Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA","Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA#TAB#","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046284814","display_name":"Michael McLaughlin","orcid":"https://orcid.org/0000-0003-2694-3376"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael McLaughlin","raw_affiliation_strings":["Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA","Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA#TAB#","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046284814"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.1801,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42633463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"3","first_page":"175","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10339","display_name":"Advanced Numerical Methods in Computational Mathematics","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10339","display_name":"Advanced Numerical Methods in Computational Mathematics","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9940999746322632,"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9926000237464905,"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/compression","display_name":"Compression (physics)","score":0.7143265008926392},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6307806372642517},{"id":"https://openalex.org/keywords/compressibility","display_name":"Compressibility","score":0.6130881309509277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4503992795944214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4336322247982025},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4307805299758911},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4117478132247925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.370516300201416},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3596871793270111},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.16125226020812988},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1540127992630005},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14792081713676453},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.07738015055656433}],"concepts":[{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.7143265008926392},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6307806372642517},{"id":"https://openalex.org/C84655787","wikidata":"https://www.wikidata.org/wiki/Q8067817","display_name":"Compressibility","level":2,"score":0.6130881309509277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4503992795944214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4336322247982025},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4307805299758911},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4117478132247925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.370516300201416},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3596871793270111},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.16125226020812988},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1540127992630005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14792081713676453},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.07738015055656433},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1515/jnma-2019-0015","is_oa":false,"landing_page_url":"https://doi.org/10.1515/jnma-2019-0015","pdf_url":null,"source":{"id":"https://openalex.org/S60483245","display_name":"Journal of Numerical Mathematics","issn_l":"1569-3953","issn":["1569-3953","1570-2820"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Numerical Mathematics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1907.08235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.08235","pdf_url":"https://arxiv.org/pdf/1907.08235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2964153565","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.08235.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.08235","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.08235","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.08235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.08235","pdf_url":"https://arxiv.org/pdf/1907.08235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5417103375","display_name":"CDS&E: Appraisal of Subgrid Scale Closures in Reacting Turbulence via DNS Big Data","funder_award_id":"1609120","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7157542532","display_name":null,"funder_award_id":"1609120","funder_id":"https://openalex.org/F4320337390","funder_display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems"},{"id":"https://openalex.org/G8639675485","display_name":null,"funder_award_id":"DMS1522267","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8858267644","display_name":"Accurate Prediction of Fluid Motion","funder_award_id":"1817542","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8975522908","display_name":null,"funder_award_id":"CBET 1609120","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337390","display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems","ror":"https://ror.org/0471zv972"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964153565.pdf","grobid_xml":"https://content.openalex.org/works/W2964153565.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W9454199","https://openalex.org/W1496062856","https://openalex.org/W1520511539","https://openalex.org/W1596838038","https://openalex.org/W1971524619","https://openalex.org/W1983970309","https://openalex.org/W1988235001","https://openalex.org/W2004168836","https://openalex.org/W2017044842","https://openalex.org/W2019487448","https://openalex.org/W2025976269","https://openalex.org/W2040185298","https://openalex.org/W2047859546","https://openalex.org/W2069967992","https://openalex.org/W2070299075","https://openalex.org/W2083893918","https://openalex.org/W2095392846","https://openalex.org/W2118922968","https://openalex.org/W2139376510","https://openalex.org/W2164622471","https://openalex.org/W2166614820","https://openalex.org/W2171297539","https://openalex.org/W2191475713","https://openalex.org/W2282835663","https://openalex.org/W2530378053","https://openalex.org/W2742266772","https://openalex.org/W2775518998","https://openalex.org/W2791068112","https://openalex.org/W2890564858","https://openalex.org/W3101489649"],"related_works":["https://openalex.org/W2997457664","https://openalex.org/W1521421361","https://openalex.org/W3047535353","https://openalex.org/W2134618403","https://openalex.org/W2726460986","https://openalex.org/W2994776342","https://openalex.org/W1977464886","https://openalex.org/W2810218917","https://openalex.org/W3007399011","https://openalex.org/W2020603699","https://openalex.org/W1581024785","https://openalex.org/W2104457406","https://openalex.org/W2801391186","https://openalex.org/W3049484155","https://openalex.org/W2315487579","https://openalex.org/W2368354848","https://openalex.org/W2386439847","https://openalex.org/W2963956142","https://openalex.org/W2041092716","https://openalex.org/W1556783760"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"report":[2],"presents":[3],"adaptive":[4,48],"artificial":[5,13,67],"compression":[6,14,68],"methods":[7,34],"in":[8],"which":[9],"the":[10,40,47,59],"time-step":[11],"and":[12,27,32,43],"parameter":[15],"\u03b5":[16,49,63],"are":[17,23,35,53],"independently":[18],"adapted.":[19],"The":[20,30],"resulting":[21],"algorithms":[22,52],"supported":[24],"by":[25],"analysis":[26],"numerical":[28],"tests.":[29],"first":[31],"second-order":[33],"embedded.":[36],"As":[37],"a":[38],"result,":[39],"computational,":[41],"cognitive,":[42],"space":[44],"complexities":[45],"of":[46,58],",":[50,64],"k":[51,66],"negligibly":[54],"greater":[55],"than":[56],"that":[57],"simplest,":[60],"first-order,":[61],"constant":[62,65],"method.":[69]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
