{"id":"https://openalex.org/W7163576875","doi":"https://doi.org/10.48550/arxiv.2606.04392","title":"Physics-Informed Neural Network Modeling of Biodegradable Contaminant Transport through GCL/SL Composite Liners","display_name":"Physics-Informed Neural Network Modeling of Biodegradable Contaminant Transport through GCL/SL Composite Liners","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163576875","doi":"https://doi.org/10.48550/arxiv.2606.04392"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04392","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":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.2606.04392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137884840","display_name":"Dong Li","orcid":"https://orcid.org/0000-0002-4152-6370"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137862459","display_name":"Yapeng Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Yapeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137903693","display_name":"Haiping Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Haiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050000007","display_name":"\u97e9\u6811\u6850","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Shutong","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/T11952","display_name":"Landfill Environmental Impact Studies","score":0.5033000111579895,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11952","display_name":"Landfill Environmental Impact Studies","score":0.5033000111579895,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.15629999339580536,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10894","display_name":"Groundwater flow and contamination studies","score":0.08110000193119049,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/composite-number","display_name":"Composite number","score":0.63919997215271},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6227999925613403},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5224000215530396},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4779999852180481},{"id":"https://openalex.org/keywords/boundary-value-problem","display_name":"Boundary value problem","score":0.4171000123023987},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41019999980926514},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4025999903678894},{"id":"https://openalex.org/keywords/leachate","display_name":"Leachate","score":0.3564000129699707},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3562999963760376}],"concepts":[{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.63919997215271},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6227999925613403},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.42170000076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4171999990940094},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3824000060558319},{"id":"https://openalex.org/C16925390","wikidata":"https://www.wikidata.org/wiki/Q2281647","display_name":"Leachate","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3562999963760376},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35370001196861267},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3483000099658966},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C2779015675","wikidata":"https://www.wikidata.org/wiki/Q92796261","display_name":"Breakage","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2778711553","wikidata":"https://www.wikidata.org/wiki/Q924286","display_name":"Transport network","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2639999985694885},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04392","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.04392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04392","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":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":{"This":[0],"study":[1],"develops":[2],"a":[3,13,27,39,57,66],"two-domain":[4],"physics-informed":[5],"neural":[6],"network":[7,169],"framework":[8],"for":[9,136,142,184],"contaminant":[10],"transport":[11,41,98,107],"through":[12],"GCL/SL":[14],"composite":[15],"liner":[16,35],"system,":[17],"in":[18,70],"which":[19,71],"the":[20,32,81,87,96,114,131,137,143,147,159,162,172,186],"thin":[21],"GCL":[22],"layer":[23],"is":[24,36,178],"treated":[25],"using":[26],"steady-state":[28],"advection-dispersion-biodegradation":[29],"formulation":[30],"and":[31,49,65,74,122,126,166,200],"underlying":[33],"soil":[34],"modeled":[37],"as":[38],"transient":[40],"domain.":[42],"Two":[43],"formulations":[44],"are":[45,77],"evaluated":[46],"against":[47],"analytical":[48],"finite-element":[50],"reference":[51],"solutions":[52],"under":[53,101,203],"different":[54],"leachate-head":[55],"conditions:":[56],"standard":[58],"PINN":[59,68],"with":[60,118,161],"soft":[61],"constraint":[62,120],"enforcement":[63,121],"(Std-PINN)":[64],"hard-constrained":[67],"(H-PINN),":[69],"selected":[72],"boundary":[73],"initial":[75],"conditions":[76],"embedded":[78],"directly":[79],"into":[80],"trial":[82],"solutions.":[83],"The":[84,111,176],"Std-PINN":[85,138],"captures":[86],"overall":[88],"breakthrough":[89],"behavior":[90],"but":[91],"shows":[92],"larger":[93],"errors":[94],"during":[95],"early":[97],"stage,":[99],"particularly":[100],"higher":[102],"leachate":[103],"heads":[104],"where":[105],"advective":[106],"becomes":[108],"more":[109,124],"pronounced.":[110],"H-PINN":[112,160,177],"reduces":[113],"optimization":[115],"burden":[116],"associated":[117],"penalty-based":[119],"provides":[123,171],"accurate":[125],"stable":[127],"concentration":[128,192],"predictions,":[129],"lowering":[130],"MAE":[132],"from":[133,149,190],"approximately":[134,150],"0.058-0.067":[135],"to":[139,152,181],"about":[140,153],"0.011-0.023":[141],"H-PINN,":[144],"while":[145],"reducing":[146],"MRE":[148],"9.10%-19.16%":[151],"2.08%-3.14%.":[154],"Parametric":[155],"analyses":[156],"confirm":[157],"that":[158],"tanh":[163],"activation":[164],"function":[165],"an":[167],"optimized":[168],"structure":[170],"best":[173],"predictive":[174],"accuracy.":[175],"further":[179],"extended":[180],"inverse":[182],"modeling":[183],"identifying":[185],"SL":[187],"degradation":[188],"half-life":[189],"limited":[191],"observations,":[193],"showing":[194],"reliable":[195],"convergence":[196],"toward":[197],"prescribed":[198],"values":[199],"acceptable":[201],"robustness":[202],"low-to-moderate":[204],"observation":[205],"noise.":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-05T00:00:00"}