{"id":"https://openalex.org/W4362595284","doi":"https://doi.org/10.1088/2632-2153/acca60","title":"Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space","display_name":"Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space","publication_year":2023,"publication_date":"2023-04-04","ids":{"openalex":"https://openalex.org/W4362595284","doi":"https://doi.org/10.1088/2632-2153/acca60"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/acca60","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acca60","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acca60/pdf","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://iopscience.iop.org/article/10.1088/2632-2153/acca60/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101491890","display_name":"Ana Larra\u00f1aga","orcid":"https://orcid.org/0000-0002-4738-7180"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A Larra\u00f1aga","raw_affiliation_strings":["University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062653961","display_name":"Steven L. Brunton","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S L Brunton","raw_affiliation_strings":["University of Washington, Department of Mechanical Engineering, University of Washington., Seattle, Washington, 98195-0005, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Department of Mechanical Engineering, University of Washington., Seattle, Washington, 98195-0005, UNITED STATES","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747341","display_name":"Javier Mart\u00ednez Mart\u00ednez","orcid":"https://orcid.org/0000-0001-6359-895X"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J Mart\u00ednez","raw_affiliation_strings":["University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075208569","display_name":"Sergio Chapela","orcid":"https://orcid.org/0000-0002-2976-1466"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"S Chapela","raw_affiliation_strings":["University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Galicia, 36310, SPAIN","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064429062","display_name":"Jacobo Porteiro","orcid":"https://orcid.org/0000-0003-2197-3269"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J Porteiro","raw_affiliation_strings":["Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Pontevedra, 36310, SPAIN"],"raw_orcid":"https://orcid.org/0000-0003-2197-3269","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, University of Vigo, Campus Universitario Lagoas Marcosende, Vigo, Pontevedra, 36310, SPAIN","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064429062"],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.2524,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75760642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"4","issue":"2","first_page":"025012","last_page":"025012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.9995999932289124,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9991999864578247,"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/T11945","display_name":"Heat Transfer Mechanisms","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.7639139890670776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308960914611816},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5896229147911072},{"id":"https://openalex.org/keywords/drag","display_name":"Drag","score":0.5102298259735107},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4877477288246155},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4663865566253662},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.4338083565235138},{"id":"https://openalex.org/keywords/computational-geometry","display_name":"Computational geometry","score":0.4306556284427643},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4124196767807007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38645702600479126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35164952278137207},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3382461667060852},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3322094678878784},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2669040262699127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2615944743156433},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1917334496974945},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14292660355567932}],"concepts":[{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.7639139890670776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308960914611816},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5896229147911072},{"id":"https://openalex.org/C72921944","wikidata":"https://www.wikidata.org/wiki/Q206621","display_name":"Drag","level":2,"score":0.5102298259735107},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4877477288246155},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4663865566253662},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.4338083565235138},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.4306556284427643},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4124196767807007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38645702600479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35164952278137207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3382461667060852},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3322094678878784},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2669040262699127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2615944743156433},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1917334496974945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14292660355567932},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/acca60","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acca60","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acca60/pdf","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:doaj.org/article:2cd7f7b9fcbd4daab6a3152028804c47","is_oa":true,"landing_page_url":"https://doaj.org/article/2cd7f7b9fcbd4daab6a3152028804c47","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 4, Iss 2, p 025012 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/acca60","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acca60","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acca60/pdf","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":[{"id":"https://openalex.org/F4320324091","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4362595284.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1772623495","https://openalex.org/W1825711828","https://openalex.org/W1985705828","https://openalex.org/W2003803108","https://openalex.org/W2019228461","https://openalex.org/W2023828410","https://openalex.org/W2031349338","https://openalex.org/W2056132907","https://openalex.org/W2070141413","https://openalex.org/W2086985882","https://openalex.org/W2093988788","https://openalex.org/W2114504260","https://openalex.org/W2122059078","https://openalex.org/W2126249528","https://openalex.org/W2133508555","https://openalex.org/W2308376385","https://openalex.org/W2323038202","https://openalex.org/W2507892620","https://openalex.org/W2592534291","https://openalex.org/W2763617369","https://openalex.org/W2795982117","https://openalex.org/W2883168771","https://openalex.org/W2886231678","https://openalex.org/W2911964244","https://openalex.org/W2973119841","https://openalex.org/W2981246174","https://openalex.org/W2991298115","https://openalex.org/W3000603264","https://openalex.org/W3026520030","https://openalex.org/W3035664654","https://openalex.org/W3037468917","https://openalex.org/W3048230165","https://openalex.org/W3101378293","https://openalex.org/W3134762316","https://openalex.org/W3164894983","https://openalex.org/W3189732766","https://openalex.org/W4213183060","https://openalex.org/W4220913648","https://openalex.org/W4223595011","https://openalex.org/W4250664506","https://openalex.org/W4286909924","https://openalex.org/W4287812798","https://openalex.org/W4300925974","https://openalex.org/W6776185187"],"related_works":["https://openalex.org/W2902248750","https://openalex.org/W2583171488","https://openalex.org/W2006186928","https://openalex.org/W2275426735","https://openalex.org/W2189586792","https://openalex.org/W3019598374","https://openalex.org/W2134632713","https://openalex.org/W2082695312","https://openalex.org/W2016193480","https://openalex.org/W4253602111"],"abstract_inverted_index":{"Abstract":[0],"Machine":[1],"learning":[2,21,181],"has":[3],"rapidly":[4],"been":[5],"adopted":[6],"in":[7,13,159],"virtually":[8],"all":[9],"areas":[10],"of":[11,24,28,43,56,83,92,113,136,139,152,179,191],"engineering":[12],"recent":[14],"years.":[15],"This":[16],"paper":[17],"develops":[18],"a":[19,72,80,132],"machine":[20,180],"model":[22],"capable":[23,112],"predicting":[25],"the":[26,54,88,93,137,156,160,177,187],"performance":[27,189],"parametrically":[29],"generated":[30],"enhanced":[31,161,193],"microsurface":[32],"geometries":[33,58,70,129],"for":[34,68,71,186],"cooling":[35],"electronic":[36],"and":[37,90,103,163,171],"power":[38],"systems.":[39],"Designing":[40],"this":[41,64,143],"type":[42],"geometry":[44],"usually":[45,77],"involves":[46],"expensive":[47],"computational":[48],"fluid":[49],"dynamics":[50],"(CFD)":[51],"simulations,":[52],"limiting":[53],"number":[55],"candidate":[57],"that":[59],"may":[60],"be":[61],"tested.":[62],"For":[63],"reason,":[65],"when":[66],"searching":[67],"new":[69],"given":[73],"application,":[74],"designs":[75],"are":[76],"restricted":[78],"to":[79,86,99,148,182],"simplified":[81],"subset":[82],"basic":[84],"shapes":[85],"reduce":[87],"complexity":[89],"dimension":[91],"search":[94],"space.":[95],"In":[96],"an":[97,110,120],"effort":[98],"add":[100],"geometrical":[101],"diversity":[102],"explore":[104],"singular":[105],"morphologies,":[106],"we":[107,175],"have":[108],"developed":[109],"algorithm":[111],"characterizing":[114],"almost":[115],"any":[116],"geometry,":[117],"based":[118],"on":[119],"extensive":[121],"CFD":[122],"database":[123],"with":[124,166],"more":[125],"than":[126],"15":[127],"800":[128],"obtained":[130],"from":[131],"Monte":[133],"Carlo":[134],"sampling":[135],"space":[138],"possible":[140,147],"geometries.":[141],"With":[142],"framework,":[144],"it":[145],"is":[146],"estimate":[149],"various":[150],"quantities":[151],"interest,":[153],"such":[154],"as":[155],"heat":[157],"flux":[158],"zone":[162],"total":[164],"drag,":[165],"relative":[167],"errors":[168],"below":[169],"10%":[170],"2%,":[172],"respectively.":[173],"Thus,":[174],"establish":[176],"utility":[178],"develop":[183],"surrogate":[184],"models":[185],"rapid":[188],"prediction":[190],"novel":[192],"microsurfaces.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}