{"id":"https://openalex.org/W4411171614","doi":"https://doi.org/10.1109/tii.2025.3574777","title":"From Complexity to Clarity: Structural Process Knowledge-Informed Neural Network for Alumina Concentration Distribution Prediction","display_name":"From Complexity to Clarity: Structural Process Knowledge-Informed Neural Network for Alumina Concentration Distribution Prediction","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4411171614","doi":"https://doi.org/10.1109/tii.2025.3574777"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3574777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3574777","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100419313","display_name":"Zhijie Wang","orcid":"https://orcid.org/0000-0001-8905-9305"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Wang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971818","display_name":"Chunhua Yang","orcid":"https://orcid.org/0000-0002-3770-9887"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhua Yang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3770-9887","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049939311","display_name":"Keke Huang","orcid":"https://orcid.org/0000-0003-3553-3424"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Huang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-3553-3424","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013692772","display_name":"Dehao Wu","orcid":"https://orcid.org/0000-0003-0649-1085"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehao Wu","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0649-1085","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711520","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0002-5337-6445"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5337-6445","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84079267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"9","first_page":"7198","last_page":"7208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.8305332064628601},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6405930519104004},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5538201332092285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5402781963348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45140114426612854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40079402923583984}],"concepts":[{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.8305332064628601},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6405930519104004},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5538201332092285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5402781963348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45140114426612854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40079402923583984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3574777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3574777","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G592884138","display_name":null,"funder_award_id":"62394340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2581586343","https://openalex.org/W2772945754","https://openalex.org/W2899283552","https://openalex.org/W2901402208","https://openalex.org/W2941820256","https://openalex.org/W3005012065","https://openalex.org/W3010839048","https://openalex.org/W3016930809","https://openalex.org/W3017198169","https://openalex.org/W3020138377","https://openalex.org/W3023883218","https://openalex.org/W3035978504","https://openalex.org/W3042749688","https://openalex.org/W3046158269","https://openalex.org/W3116326548","https://openalex.org/W3135266120","https://openalex.org/W3207471124","https://openalex.org/W4293370789","https://openalex.org/W4309386015","https://openalex.org/W4313186340","https://openalex.org/W4313837470","https://openalex.org/W4363652110","https://openalex.org/W4381548220","https://openalex.org/W4385444812","https://openalex.org/W4385756618","https://openalex.org/W4386567964","https://openalex.org/W4388263477","https://openalex.org/W4391969228","https://openalex.org/W4392309537","https://openalex.org/W4393107156","https://openalex.org/W4396753620","https://openalex.org/W4408399564","https://openalex.org/W4408423546"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Maintaining":[0],"an":[1],"optimal":[2],"alumina":[3,39,59,74,92,118,132,229],"concentration":[4,40,60,75,119,133,151,207,230,241],"distribution":[5,120,134],"is":[6,135,186,236],"crucial":[7],"for":[8,55,72,117,148,228,255,261],"ensuring":[9],"stable":[10],"operation":[11],"and":[12,35,101,125,141,150,167,176,195,242],"reducing":[13],"energy":[14],"consumption":[15],"in":[16,212],"aluminum":[17],"electrolysis":[18,31,144],"cells.":[19],"Due":[20],"to":[21,97,155,199,201,258,279],"the":[22,30,33,49,56,66,73,78,91,131,158,163,191,213,239,248,253],"strong":[23],"coupling":[24],"of":[25,38,58,68,80,220],"multiple":[26],"physical":[27,202],"fields":[28],"within":[29],"cell,":[32],"rapid":[34],"accurate":[36,206],"prediction":[37,121,174,208,231],"distributions":[41],"has":[42],"long":[43],"been":[44],"a":[45,111,179,217,225,243],"formidable":[46],"challenge.":[47],"Furthermore,":[48],"harsh":[50],"industrial":[51],"environment":[52],"only":[53],"allows":[54],"acquisition":[57],"data":[61,100],"at":[62,209],"limited":[63,218],"locations,":[64],"hindering":[65],"construction":[67],"precise":[69],"predictive":[70],"models":[71,260],"distribution.":[76],"Moreover,":[77],"presence":[79],"measurable":[81],"disturbances,":[82],"such":[83],"as":[84],"feeding,":[85],"can":[86],"exert":[87],"additional":[88],"influences":[89],"on":[90],"concentration,":[93],"necessitating":[94],"traditional":[95,256],"methods":[96,257],"collect":[98],"new":[99],"reconstruct":[102,259],"models.":[103],"To":[104],"address":[105],"these":[106],"issues,":[107],"this":[108],"article":[109],"proposes":[110],"structural":[112],"process":[113,168,183,196],"knowledge-informed":[114],"neural":[115],"network":[116,159,249],"with":[122,216],"desirable":[123],"precision":[124],"high":[126],"solving":[127],"efficiency.":[128],"Specifically,":[129],"considering":[130],"primarily":[136],"driven":[137],"by":[138,143],"electrolyte":[139],"convection":[140],"secondarily":[142],"consumption,":[145],"pretraining":[146],"modules":[147],"flow":[149],"field":[152],"are":[153],"designed":[154],"explicitly":[156],"modify":[157],"structure,":[160],"thereby":[161,251],"strengthening":[162],"relationship":[164,192],"between":[165,193],"inputs":[166,194],"state":[169,197],"variables,":[170],"which":[171,188],"significantly":[172],"enhance":[173],"efficiency":[175],"accuracy.":[177],"Subsequently,":[178],"loss":[180],"function":[181],"incorporating":[182,238],"governing":[184],"equations":[185],"designed,":[187],"effectively":[189],"constrains":[190],"variables":[198],"adhere":[200],"principles.":[203],"This":[204],"enables":[205],"any":[210],"location":[211],"field,":[214],"even":[215],"number":[219],"spatial":[221],"training":[222,226],"data.":[223],"Finally,":[224],"method":[227,273],"under":[232,264],"varying":[233],"initial":[234,240,266],"concentrations":[235],"introduced,":[237],"fixed":[244],"time":[245],"step":[246],"into":[247],"inputs,":[250],"eliminating":[252],"need":[254],"continuous":[262],"predictions":[263],"different":[265],"conditions.":[267],"Extensive":[268],"experiments":[269],"demonstrate":[270],"that":[271],"our":[272],"achieves":[274],"significant":[275],"performance":[276],"improvements":[277],"compared":[278],"some":[280],"state-of-the-art":[281],"methods.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}