{"id":"https://openalex.org/W7161724237","doi":"https://doi.org/10.48550/arxiv.2605.17581","title":"Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media","display_name":"Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161724237","doi":"https://doi.org/10.48550/arxiv.2605.17581"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.17581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136459808","display_name":"Ebru Dagdelen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dagdelen, Ebru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136492008","display_name":"Catherin Neena Lalu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lalu, Catherin Neena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136500232","display_name":"Aakash Karlekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karlekar, Aakash","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109603193","display_name":"Manav Arora","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arora, Manav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136489244","display_name":"Matthew Illingworth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Illingworth, Matthew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136460825","display_name":"Jonathan Jaquette","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaquette, Jonathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136470355","display_name":"Linda Cummings","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cummings, Linda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026028890","display_name":"Lou Kondic","orcid":"https://orcid.org/0000-0001-6966-9851"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kondic, Lou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13362","display_name":"Slime Mold and Myxomycetes Research","score":0.011599999852478504,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.8087999820709229},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7559999823570251},{"id":"https://openalex.org/keywords/permeability","display_name":"Permeability (electromagnetism)","score":0.6061999797821045},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.3912999927997589},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.37040001153945923},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.3400000035762787},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3255999982357025}],"concepts":[{"id":"https://openalex.org/C105569014","wikidata":"https://www.wikidata.org/wiki/Q3271208","display_name":"Porous medium","level":3,"score":0.8087999820709229},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7559999823570251},{"id":"https://openalex.org/C120882062","wikidata":"https://www.wikidata.org/wiki/Q28352","display_name":"Permeability (electromagnetism)","level":3,"score":0.6061999797821045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5719000101089478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5364999771118164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249000191688538},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.382099986076355},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C113378726","wikidata":"https://www.wikidata.org/wiki/Q7310797","display_name":"Relative permeability","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2705000042915344},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Flow":[0],"in":[1,161],"porous":[2,23,85,99,117,156],"media":[3,24,100,157],"is":[4,41],"difficult":[5],"to":[6,15,27,43,181],"address":[7],"using":[8,119,135],"standard":[9,72],"analytical":[10],"or":[11],"numerical":[12],"methods":[13],"due":[14],"its":[16],"complexity.":[17],"However,":[18],"since":[19],"synthetic":[20],"representations":[21],"of":[22,55,83,110,113,144,147,172],"are":[25,34],"easy":[26],"produce":[28],"and":[29,64,92],"data":[30,165],"from":[31,61],"physical":[32],"experiments":[33],"becoming":[35],"more":[36],"widely":[37],"available,":[38],"the":[39,81,84,90,98,108,111,114,125,145,155],"problem":[40],"well-suited":[42],"studies":[44],"that":[45,57,122,163,174],"include":[46,77],"machine":[47],"learning":[48],"(ML)":[49],"techniques.":[50],"We":[51,159],"discuss":[52],"a":[53,71,141,169],"number":[54],"features":[56,76,106,173],"can":[58,175],"be":[59,176],"extracted":[60],"such":[62],"data,":[63],"their":[65],"utility":[66,146],"as":[67,101],"input":[68,137],"variables":[69,138],"into":[70],"ML":[73,120,180],"algorithm.":[74],"These":[75,105],"structural":[78],"measures":[79,88,94,149],"describing":[80,89],"geometry":[82],"media,":[86],"topological":[87,164],"connectivity,":[91],"network":[93],"obtained":[95,134],"by":[96],"modeling":[97],"simplified":[102],"pore":[103],"networks.":[104],"enable":[107],"prediction":[109],"permeability":[112,129,152],"considered":[115],"(synthetic)":[116],"materials":[118],"techniques":[121],"also":[123],"leverage":[124],"separately":[126],"computed":[127],"exact":[128],"(ground":[130],"truth).":[131],"Comparing":[132],"results":[133],"different":[136],"helps":[139],"develop":[140],"better":[142],"understanding":[143],"various":[148],"for":[150],"predicting":[151],"based":[153],"on":[154],"structure.":[158],"show,":[160],"particular,":[162],"analysis":[166],"(TDA)":[167],"provides":[168],"useful":[170],"set":[171],"easily":[177],"combined":[178],"with":[179],"yield":[182],"meaningful":[183],"results.":[184]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-20T00:00:00"}