{"id":"https://openalex.org/W7125914204","doi":"https://doi.org/10.1109/tie.2025.3642411","title":"Neural Surrogate Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics","display_name":"Neural Surrogate Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics","publication_year":2026,"publication_date":"2026-01-28","ids":{"openalex":"https://openalex.org/W7125914204","doi":"https://doi.org/10.1109/tie.2025.3642411"},"language":null,"primary_location":{"id":"doi:10.1109/tie.2025.3642411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3642411","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5124054449","display_name":"Jialin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Zheng","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2440-9858","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427195","display_name":"Haoyu Wang","orcid":"https://orcid.org/0000-0002-3940-3558"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoyu Wang","raw_affiliation_strings":["Department of Electrical Engineering, UT Austin, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-3940-3558","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, UT Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124067455","display_name":"Yangbin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangbin Zeng","raw_affiliation_strings":["School of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9412-9048","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124072920","display_name":"Han Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Xu","raw_affiliation_strings":["Computing Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3734-8153","affiliations":[{"raw_affiliation_string":"Computing Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123447318","display_name":"Di Mou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Mou","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1641-6022","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Li","orcid":"https://orcid.org/0000-0002-8117-8980"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Li","raw_affiliation_strings":["School of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8117-8980","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065430608","display_name":"Sara V\u00e1zquez","orcid":null},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sergio Vazquez","raw_affiliation_strings":["Electronics Engineering Department, University of Seville, Sevilla, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7438-8904","affiliations":[{"raw_affiliation_string":"Electronics Engineering Department, University of Seville, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037393136","display_name":"Leopoldo G. Franquelo","orcid":"https://orcid.org/0000-0002-1976-9747"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Leopoldo G. Franquelo","raw_affiliation_strings":["Electronics Engineering Department, University of Seville, Sevilla, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1976-9747","affiliations":[{"raw_affiliation_string":"Electronics Engineering Department, University of Seville, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.6397,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96637987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"73","issue":"6","first_page":"9523","last_page":"9528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.2639000117778778,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.2639000117778778,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.24089999496936798,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10363","display_name":"Low-power high-performance VLSI design","score":0.05550000071525574,"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/speedup","display_name":"Speedup","score":0.6694999933242798},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6395000219345093},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6205000281333923},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5133000016212463},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5102999806404114},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5073000192642212},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43149998784065247},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41749998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416999936103821},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6694999933242798},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6395000219345093},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6205000281333923},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5102999806404114},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41749998927116394},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33970001339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.320499986410141},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.29420000314712524},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C147297375","wikidata":"https://www.wikidata.org/wiki/Q6674930","display_name":"Look-ahead","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2025.3642411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3642411","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4024691879749298,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1985676683","https://openalex.org/W2053788580","https://openalex.org/W2093544094","https://openalex.org/W2112392103","https://openalex.org/W2122273272","https://openalex.org/W2899283552","https://openalex.org/W2973311057","https://openalex.org/W3198681184","https://openalex.org/W4285240842","https://openalex.org/W4293094387","https://openalex.org/W4312297486","https://openalex.org/W4320713280","https://openalex.org/W4386321841","https://openalex.org/W4399766580","https://openalex.org/W4412171106","https://openalex.org/W7124981900"],"related_works":[],"abstract_inverted_index":{"Advancing":[0],"the":[1,10,24,115],"dynamics":[2,28],"inference":[3,55,120],"of":[4,121],"power":[5],"electronic":[6],"systems":[7],"(PES)":[8],"to":[9,67],"real-time":[11],"edge-side":[12],"holds":[13],"transformative":[14],"potential":[15],"for":[16,89,117],"design,":[17],"control,":[18],"and":[19,72,105],"monitoring.":[20],"However,":[21],"efficiently":[22],"inferring":[23],"inherent":[25],"hybrid":[26],"continuous-discrete":[27],"on":[29,94],"resource-constrained":[30],"edge":[31,90,119],"hardware":[32,107],"remains":[33],"a":[34,40,48,95],"significant":[35],"challenge.":[36],"This":[37],"letter":[38],"proposes":[39],"neural":[41,65],"surrogate":[42,68],"solver":[43],"(NSS)":[44],"approach,":[45],"which":[46,80],"is":[47],"neural-network-based":[49],"framework":[50],"aimed":[51],"at":[52],"rapid":[53],"accurate":[54],"with":[56,111],"significantly":[57],"reduced":[58],"computational":[59],"costs.":[60],"Specifically,":[61],"NSS":[62,101],"leverages":[63],"lightweight":[64],"networks":[66],"time-consuming":[69],"matrix":[70],"operation":[71,87],"high-order":[73],"numerical":[74],"integration":[75],"steps":[76],"in":[77],"traditional":[78,112],"solvers,":[79,113],"transforms":[81],"sequential":[82],"bottlenecks":[83],"into":[84],"highly":[85],"parallel":[86],"suitable":[88],"hardware.":[91],"Experimental":[92],"validation":[93],"multistage":[96],"dc\u2013dc":[97],"converter":[98],"demonstrates":[99],"that":[100],"achieves":[102],"23x":[103],"speedup":[104],"60%":[106],"resource":[108],"reduction":[109],"compared":[110],"paving":[114],"way":[116],"deploying":[118],"high-fidelity":[122],"PES":[123],"dynamics.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-29T00:00:00"}
