{"id":"https://openalex.org/W7204185271","doi":"https://doi.org/10.53941/ams.2026.100016","title":"Physics-Informed and Brain-Inspired Set-Routed Neural Networks for Lithium-Ion Battery Life-Cycle Assessment in Medical Devices","display_name":"Physics-Informed and Brain-Inspired Set-Routed Neural Networks for Lithium-Ion Battery Life-Cycle Assessment in Medical Devices","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204185271","doi":"https://doi.org/10.53941/ams.2026.100016"},"language":"en","primary_location":{"id":"doi:10.53941/ams.2026.100016","doi":"https://doi.org/10.53941/ams.2026.100016","is_oa":true,"landing_page_url":"https://doi.org/10.53941/ams.2026.100016","pdf_url":null,"source":{"id":"https://openalex.org/S5407040507","display_name":"Applied Mathematics and Statistics","issn_l":"2982-2602","issn":["2982-2602"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mathematics and Statistics","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204185271"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.53941/ams.2026.100016","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147338373","display_name":"Tarek Berghout","orcid":"https://orcid.org/0000-0003-4877-4200","observed_orcids":["https://orcid.org/0000-0003-4877-4200"]},"institutions":[{"id":"https://openalex.org/I4387153399","display_name":"University of Batna 2","ror":"https://ror.org/02yvp6477","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4387153399"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Tarek Berghout","raw_affiliation_strings":["Laboratory of Automation and Manufacturing Engineering, University of Batna 2, Batna 05000, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Automation and Manufacturing Engineering, University of Batna 2, Batna 05000, Algeria","institution_ids":["https://openalex.org/I4387153399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114319836","display_name":"Nacira Laamiri","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nacira Laamiri","raw_affiliation_strings":["Mohamed Taher Maamouri University Hospital, Mrazka 8000 Nabeul, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Taher Maamouri University Hospital, Mrazka 8000 Nabeul, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068370276","display_name":"Lotfi Chaouech","orcid":"https://orcid.org/0000-0003-3972-3575","observed_orcids":["https://orcid.org/0000-0003-3972-3575"]},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I4405254846","display_name":"ENSIT","ror":"https://ror.org/02a6s9190","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]},{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lotfi Chaouech","raw_affiliation_strings":["Laboratoire d\u2019Ing\u00e9nierie des Syst\u00e8mes Industriels et d\u2019\u00c9nergie (LISIER), \u00c9cole Nationale Sup\u00e9rieure d\u2019Ing\u00e9nieurs de Tunis (ENSIT), University of Tunis, Av. Taha Hussein, Tunis 1008, Tunisia","\u00c9cole Sup\u00e9rieure des Sciences et de la Technologie de Hammam Sousse (ESSTHS), University of Sousse, Av. Lamine Abassi, Hammam Sousse 4011, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Ing\u00e9nierie des Syst\u00e8mes Industriels et d\u2019\u00c9nergie (LISIER), \u00c9cole Nationale Sup\u00e9rieure d\u2019Ing\u00e9nieurs de Tunis (ENSIT), University of Tunis, Av. Taha Hussein, Tunis 1008, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4210131288","https://openalex.org/I4405254846"]},{"raw_affiliation_string":"\u00c9cole Sup\u00e9rieure des Sciences et de la Technologie de Hammam Sousse (ESSTHS), University of Sousse, Av. Lamine Abassi, Hammam Sousse 4011, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065439567","display_name":"Jaouher Ben Ali","orcid":"https://orcid.org/0000-0002-3137-2865","observed_orcids":["https://orcid.org/0000-0002-3137-2865"]},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I4405254846","display_name":"ENSIT","ror":"https://ror.org/02a6s9190","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]},{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jaouher Ben Ali","raw_affiliation_strings":["Laboratoire Signal, Image et Maitrise de l\u2019\u00c9nergie (SIME), \u00c9cole Nationale Sup\u00e9rieure d\u2019Ing\u00e9nieurs de Tunis (ENSIT), University of Tunis, Av. Taha Hussein, Tunis 1008, Tunisia","\u00c9cole Sup\u00e9rieure des Sciences et de la Technologie de Hammam Sousse (ESSTHS), University of Sousse, Av. Lamine Abassi, Hammam Sousse 4011, Tunisia"],"raw_orcid":"https://orcid.org/0000-0002-3137-2865","affiliations":[{"raw_affiliation_string":"Laboratoire Signal, Image et Maitrise de l\u2019\u00c9nergie (SIME), \u00c9cole Nationale Sup\u00e9rieure d\u2019Ing\u00e9nieurs de Tunis (ENSIT), University of Tunis, Av. Taha Hussein, Tunis 1008, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4210131288","https://openalex.org/I4405254846"]},{"raw_affiliation_string":"\u00c9cole Sup\u00e9rieure des Sciences et de la Technologie de Hammam Sousse (ESSTHS), University of Sousse, Av. Lamine Abassi, Hammam Sousse 4011, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Battery Modeling and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10663","display_name":"Battery Modeling and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10018","display_name":"Advancements in Battery Materials","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lithium-ion-batteries","display_name":"lithium-ion batteries","score":0.9279999732971191},{"id":"https://openalex.org/keywords/state-of-health-estimation","display_name":"state of health estimation","score":0.8740000128746033},{"id":"https://openalex.org/keywords/physics-informed-neural-networks","display_name":"physics-informed neural networks","score":0.8360000252723694},{"id":"https://openalex.org/keywords/battery-health-monitoring","display_name":"battery health monitoring","score":0.8090000152587891},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"state of charge","score":0.6809999942779541},{"id":"https://openalex.org/keywords/thermal-modeling","display_name":"thermal modeling","score":0.335999995470047},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.6909999847412109},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.6809999942779541}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.651199996471405},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6136000156402588},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6111000180244446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5647000074386597},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357000231742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5156000256538391},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5148000121116638},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.4959000051021576},{"id":"https://openalex.org/C2777294910","wikidata":"https://www.wikidata.org/wiki/Q4050070","display_name":"State of health","level":4,"score":0.46779999136924744},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.44269999861717224},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.41920000314712524},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3522000014781952},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.30970001220703125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3077000081539154},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.53941/ams.2026.100016","doi":"https://doi.org/10.53941/ams.2026.100016","is_oa":true,"landing_page_url":"https://doi.org/10.53941/ams.2026.100016","pdf_url":null,"source":{"id":"https://openalex.org/S5407040507","display_name":"Applied Mathematics and Statistics","issn_l":"2982-2602","issn":["2982-2602"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mathematics and Statistics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.53941/ams.2026.100016","doi":"https://doi.org/10.53941/ams.2026.100016","is_oa":true,"landing_page_url":"https://doi.org/10.53941/ams.2026.100016","pdf_url":null,"source":{"id":"https://openalex.org/S5407040507","display_name":"Applied Mathematics and Statistics","issn_l":"2982-2602","issn":["2982-2602"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mathematics and Statistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.428600013256073},{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4000000059604645}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7202080603","https://openalex.org/W7213622896","https://openalex.org/W7213401524","https://openalex.org/W4406866547","https://openalex.org/W4386969436","https://openalex.org/W4409454085","https://openalex.org/W4392910406","https://openalex.org/W4416423560","https://openalex.org/W7164989834","https://openalex.org/W7221364825"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,12,36,104,134,221],"dual-purpose":[4],"study.":[5],"The":[6,20,59,176],"first":[7],"objective":[8,22],"is":[9,23],"to":[10,24,197],"generate":[11],"realistic":[13],"synthetic":[14],"dataset":[15,31,60],"for":[16,46,226],"battery":[17,214],"health":[18],"monitoring.":[19],"second":[21],"validate":[25],"both":[26],"the":[27,30,33,41,127,167,217],"realism":[28],"of":[29,35,49,51,86,107,114,155,158,164,207],"and":[32,75,89,96,119,160,180,190,229],"performance":[34],"novel":[37],"neural":[38],"architecture,":[39],"termed":[40],"Set-Routed":[42],"Neural":[43],"Network":[44],"(SetNet),":[45],"regression-based":[47],"estimation":[48],"State":[50,85],"Health":[52],"(SOH)":[53],"in":[54,185,212,232],"medical-grade":[55],"energy":[56,235],"storage":[57],"devices.":[58],"comprises":[61],"20":[62],"complete":[63],"life":[64,146],"cycles,":[65],"each":[66],"containing":[67],"approximately":[68],"50,000-time":[69],"steps":[70],"with":[71,103,123],"recorded":[72],"electrical,":[73],"thermal,":[74],"state":[76],"parameters":[77],"including":[78],"Current":[79],"(A),":[80],"Voltage":[81],"(V),":[82],"Temperature":[83],"(\u00b0C),":[84],"Charge":[87],"(SOC),":[88],"SOH.":[90],"To":[91],"ensure":[92],"realism,":[93],"statistical":[94],"validation":[95],"frequency-domain":[97],"analyses":[98],"confirmed":[99],"physically":[100],"plausible":[101],"behavior,":[102],"mean":[105,112],"voltage":[106],"3.89":[108],"V":[109],"\u00b1":[110,117],"0.08,":[111],"temperature":[113],"25.08":[115],"\u00b0C":[116],"0.20,":[118],"SOC":[120],"distributions":[121],"consistent":[122],"operational":[124],"ranges.":[125],"In":[126],"learning":[128],"phase,":[129],"SetNet":[130,151,186],"was":[131],"benchmarked":[132],"against":[133],"standard":[135],"Multilayer":[136],"Perceptron":[137],"(MLP)":[138],"using":[139],"an":[140,153,161],"80/20":[141],"train-test":[142],"split":[143],"over":[144],"all":[145],"cycles.":[147],"Results":[148],"show":[149],"that":[150],"achieved":[152],"RMSE":[154],"0.0496,":[156],"MAE":[157,172],"0.0412,":[159],"R2":[162,174],"score":[163],"0.2639,":[165],"outperforming":[166],"MLP":[168],"baseline":[169],"(RMSE":[170],"0.0872,":[171],"0.0679,":[173],"0.275).":[175],"smooth":[177],"convergence":[178],"curves":[179],"stable":[181],"mini-batch":[182],"loss":[183],"observed":[184],"indicate":[187],"superior":[188],"generalization":[189],"robustness.":[191],"These":[192],"findings":[193],"highlight":[194],"SetNet\u2019s":[195],"ability":[196],"route":[198],"features":[199],"selectively":[200],"across":[201],"modular":[202],"subnetworks,":[203],"enabling":[204],"efficient":[205],"modeling":[206],"multi-domain":[208],"interactions":[209],"(electrical\u2013thermal\u2013chemical)":[210],"inherent":[211],"medical":[213,234],"systems.":[215,236],"Overall,":[216],"proposed":[218],"architecture":[219],"establishes":[220],"biologically":[222],"inspired,":[223],"interpretable":[224],"foundation":[225],"predictive":[227],"maintenance":[228],"reliability":[230],"assessment":[231],"future":[233]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-26T00:00:00"}
