{"id":"https://openalex.org/W4396528983","doi":"https://doi.org/10.1088/2632-2153/ad45af","title":"Learning a general model of single phase flow in complex 3D porous media","display_name":"Learning a general model of single phase flow in complex 3D porous media","publication_year":2024,"publication_date":"2024-04-30","ids":{"openalex":"https://openalex.org/W4396528983","doi":"https://doi.org/10.1088/2632-2153/ad45af"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad45af","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad45af","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ad45af","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078622567","display_name":"Javier E. Santos","orcid":"https://orcid.org/0000-0002-2404-3975"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Javier E Santos","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":"https://orcid.org/0000-0002-2404-3975","affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054342116","display_name":"Agnese Marcato","orcid":"https://orcid.org/0000-0002-9934-9004"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Agnese Marcato","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":"https://orcid.org/0000-0002-9934-9004","affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059810716","display_name":"Qinjun Kang","orcid":"https://orcid.org/0000-0002-4754-2240"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinjun Kang","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010192859","display_name":"Mohamed Mehana","orcid":"https://orcid.org/0000-0003-2472-2879"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Mehana","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072498681","display_name":"Daniel O\u2019Malley","orcid":"https://orcid.org/0000-0003-0432-3088"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel O\u2019Malley","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073783714","display_name":"Hari Viswanathan","orcid":"https://orcid.org/0000-0002-1178-9647"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Viswanathan","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021344986","display_name":"Nicholas Lubbers","orcid":"https://orcid.org/0000-0002-9001-9973"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Lubbers","raw_affiliation_strings":["Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5078622567"],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.9456,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71985499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5","issue":"2","first_page":"025039","last_page":"025039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9988999962806702,"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/porous-medium","display_name":"Porous medium","score":0.6625638604164124},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5373799800872803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4129924774169922},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.41019919514656067},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.3389182686805725},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.2760060429573059},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26852238178253174},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12800195813179016}],"concepts":[{"id":"https://openalex.org/C105569014","wikidata":"https://www.wikidata.org/wiki/Q3271208","display_name":"Porous medium","level":3,"score":0.6625638604164124},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5373799800872803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4129924774169922},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.41019919514656067},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.3389182686805725},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.2760060429573059},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26852238178253174},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12800195813179016}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2632-2153/ad45af","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad45af","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:2426807","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2426807","pdf_url":"https://www.osti.gov/servlets/purl/2426807","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},{"id":"pmh:oai:doaj.org/article:95e3b6f6f6bb42c6b5b5523bd256f7d5","is_oa":true,"landing_page_url":"https://doaj.org/article/95e3b6f6f6bb42c6b5b5523bd256f7d5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 2, p 025039 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad45af","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad45af","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1966101546","https://openalex.org/W1988903143","https://openalex.org/W2010369969","https://openalex.org/W2019006773","https://openalex.org/W2031409368","https://openalex.org/W2036799288","https://openalex.org/W2061434100","https://openalex.org/W2093445429","https://openalex.org/W2134189468","https://openalex.org/W2137615609","https://openalex.org/W2140460370","https://openalex.org/W2278652762","https://openalex.org/W2331128217","https://openalex.org/W2396650294","https://openalex.org/W2888331556","https://openalex.org/W2899663614","https://openalex.org/W2919115771","https://openalex.org/W3090490642","https://openalex.org/W3118608800","https://openalex.org/W3127003409","https://openalex.org/W3157599415","https://openalex.org/W3162172557","https://openalex.org/W3167376913","https://openalex.org/W3183494825","https://openalex.org/W3203887481","https://openalex.org/W4205260884","https://openalex.org/W4205334736","https://openalex.org/W4206700446","https://openalex.org/W4224879133","https://openalex.org/W4229052372","https://openalex.org/W4239072543","https://openalex.org/W4280641498","https://openalex.org/W4283801357","https://openalex.org/W4295312788","https://openalex.org/W4300961484","https://openalex.org/W4303579423","https://openalex.org/W4309931587","https://openalex.org/W4385955646","https://openalex.org/W6641539590","https://openalex.org/W6665862417","https://openalex.org/W6676297131","https://openalex.org/W6755977528","https://openalex.org/W6766978945","https://openalex.org/W6787972765","https://openalex.org/W6855865105","https://openalex.org/W6887817705","https://openalex.org/W6925236752"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2393554192","https://openalex.org/W2359463116","https://openalex.org/W2362875760","https://openalex.org/W392422591","https://openalex.org/W1968527418","https://openalex.org/W2392518446","https://openalex.org/W2087134426"],"abstract_inverted_index":{"Abstract":[0],"Modeling":[1],"effective":[2],"transport":[3],"properties":[4],"of":[5,20,24,98],"3D":[6,79],"porous":[7],"media,":[8],"such":[9],"as":[10,17],"permeability,":[11],"at":[12,120,151],"multiple":[13,85,152],"scales":[14,121],"is":[15,45,50],"challenging":[16],"a":[18,107],"result":[19],"the":[21,25,37,40,47,96,103,114,125],"combined":[22],"complexity":[23],"pore":[26],"structures":[27],"and":[28,58,84,116],"fluid":[29,81],"physics\u2014in":[30],"particular,":[31],"confinement":[32,82],"effects":[33],"which":[34,55],"vary":[35],"across":[36],"nanoscale":[38],"to":[39,68,94,124],"microscale.":[41],"While":[42],"numerical":[43],"simulation":[44,86],"possible,":[46],"computational":[48,129],"cost":[49],"prohibitive":[51],"for":[52,77,102,113,131],"realistic":[53],"domains,":[54],"are":[56],"large":[57],"complex.":[59],"Although":[60],"machine":[61],"learning":[62],"(ML)":[63],"models":[64],"have":[65,101],"been":[66],"proposed":[67],"circumvent":[69],"simulation,":[70],"none":[71],"so":[72],"far":[73],"has":[74],"simultaneously":[75],"accounted":[76],"heterogeneous":[78],"structures,":[80],"effects,":[83],"resolutions.":[87],"By":[88],"utilizing":[89],"numerous":[90],"computer":[91],"science":[92],"techniques":[93],"improve":[95],"scalability":[97],"training,":[99,132],"we":[100],"first":[104],"time":[105],"developed":[106],"general":[108],"flow":[109],"model":[110,135],"that":[111],"accounts":[112],"pore-structure":[115],"corresponding":[117],"physical":[118],"phenomena":[119],"from":[122],"Angstrom":[123],"micrometer.":[126],"Using":[127],"synthetic":[128],"domains":[130,150],"our":[133],"ML":[134],"exhibits":[136],"strong":[137],"performance":[138],"(":[139],"R":[140],"2":[141],"=":[142],"0.9)":[143],"when":[144],"tested":[145],"on":[146],"extremely":[147],"diverse":[148],"real":[149],"scales.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
