{"id":"https://openalex.org/W4225277884","doi":"https://doi.org/10.1007/s00521-022-07291-5","title":"A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery","display_name":"A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4225277884","doi":"https://doi.org/10.1007/s00521-022-07291-5"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-022-07291-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07291-5","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5015681681","display_name":"Zhaoyi Xu","orcid":"https://orcid.org/0000-0002-8498-3483"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhaoyi Xu","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA"],"raw_orcid":"https://orcid.org/0000-0002-8498-3483","affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472878","display_name":"Yanjie Guo","orcid":"https://orcid.org/0000-0001-8299-128X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Guo","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045699117","display_name":"Joseph H. Saleh","orcid":"https://orcid.org/0000-0001-7590-9399"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Homer Saleh","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015681681"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.1362,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.91863025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"18","first_page":"15997","last_page":"16017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"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":"Advanced Battery Technologies Research","score":1.0,"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":0.9994999766349792,"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/T10281","display_name":"Advanced Battery Materials and Technologies","score":0.9855999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7983338832855225},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7607825994491577},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7412533760070801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5684230327606201},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.551552951335907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.527280867099762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4592111110687256},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4148164391517639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37983790040016174},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3656672537326813},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.29108673334121704},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15390461683273315},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1512017548084259}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7983338832855225},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7607825994491577},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7412533760070801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5684230327606201},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.551552951335907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.527280867099762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4592111110687256},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4148164391517639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37983790040016174},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3656672537326813},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29108673334121704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15390461683273315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1512017548084259},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-022-07291-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07291-5","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1628954589","https://openalex.org/W1972985055","https://openalex.org/W1981484470","https://openalex.org/W2006784835","https://openalex.org/W2007655149","https://openalex.org/W2007672025","https://openalex.org/W2019732711","https://openalex.org/W2046464001","https://openalex.org/W2046836157","https://openalex.org/W2071280205","https://openalex.org/W2075143718","https://openalex.org/W2079985616","https://openalex.org/W2088924893","https://openalex.org/W2102805256","https://openalex.org/W2113449668","https://openalex.org/W2149238896","https://openalex.org/W2163870250","https://openalex.org/W2167503549","https://openalex.org/W2194775991","https://openalex.org/W2201263372","https://openalex.org/W2316625071","https://openalex.org/W2340971382","https://openalex.org/W2351263822","https://openalex.org/W2413802951","https://openalex.org/W2495099137","https://openalex.org/W2510642588","https://openalex.org/W2610497384","https://openalex.org/W2612210564","https://openalex.org/W2624326750","https://openalex.org/W2766856748","https://openalex.org/W2790709282","https://openalex.org/W2793702125","https://openalex.org/W2883515020","https://openalex.org/W2883525675","https://openalex.org/W2902107055","https://openalex.org/W2902305684","https://openalex.org/W2903223816","https://openalex.org/W2906920201","https://openalex.org/W2915445509","https://openalex.org/W2917014261","https://openalex.org/W2924382816","https://openalex.org/W2957056027","https://openalex.org/W2966169983","https://openalex.org/W2969616191","https://openalex.org/W2972051933","https://openalex.org/W2974904579","https://openalex.org/W2981984647","https://openalex.org/W2988243667","https://openalex.org/W3008834654","https://openalex.org/W3035116213","https://openalex.org/W3036910660","https://openalex.org/W3040694753","https://openalex.org/W3049495830","https://openalex.org/W3100495083","https://openalex.org/W3102947106","https://openalex.org/W3135698256","https://openalex.org/W3158403050","https://openalex.org/W3163993681","https://openalex.org/W3203563765","https://openalex.org/W6777336434"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W4394010018"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-10-10T00:00:00"}