{"id":"https://openalex.org/W7140174807","doi":"https://doi.org/10.1007/s00366-026-02310-8","title":"Graph-based surrogate modeling for structural eigenvalue problems with modal matching training","display_name":"Graph-based surrogate modeling for structural eigenvalue problems with modal matching training","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140174807","doi":"https://doi.org/10.1007/s00366-026-02310-8"},"language":"en","primary_location":{"id":"doi:10.1007/s00366-026-02310-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00366-026-02310-8","pdf_url":null,"source":{"id":"https://openalex.org/S89333158","display_name":"Engineering With Computers","issn_l":"0177-0667","issn":["0177-0667","1435-5663"],"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":"Engineering with Computers","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":null,"display_name":"Chengqi Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengqi Lin","raw_affiliation_strings":["School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junzhe Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junzhe Ding","raw_affiliation_strings":["School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianlin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianlin Chen","raw_affiliation_strings":["School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Institute of Microelectronics, University of Macau, Avenida da Universidade, Taipa, 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, University of Macau, Avenida da Universidade, Taipa, 999078, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhao Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhao Jiao","raw_affiliation_strings":["Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pui-In Mak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pui-In Mak","raw_affiliation_strings":["Institute of Microelectronics, University of Macau, Avenida da Universidade, Taipa, 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, University of Macau, Avenida da Universidade, Taipa, 999078, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Nan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai University, 20 Chengzhong Road, Shanghai, 201800, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63791098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.5602999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.5602999925613403,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.18410000205039978,"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/T11115","display_name":"Topology Optimization in Engineering","score":0.06509999930858612,"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/modal","display_name":"Modal","score":0.5913000106811523},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5802000164985657},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.51910001039505},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4909000098705292},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45100000500679016},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4108000099658966},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.37689998745918274},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.37610000371932983},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.3750999867916107},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5913000106811523},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400999784469604},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5142999887466431},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4043000042438507},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3296000063419342},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32510000467300415},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C32758168","wikidata":"https://www.wikidata.org/wiki/Q900488","display_name":"Normal mode","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26739999651908875},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C178736951","wikidata":"https://www.wikidata.org/wiki/Q3780658","display_name":"Modal analysis using FEM","level":5,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00366-026-02310-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00366-026-02310-8","pdf_url":null,"source":{"id":"https://openalex.org/S89333158","display_name":"Engineering With Computers","issn_l":"0177-0667","issn":["0177-0667","1435-5663"],"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":"Engineering with Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3535145002","display_name":null,"funder_award_id":"25ZR1402143","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1964523568","https://openalex.org/W1968781827","https://openalex.org/W1999062023","https://openalex.org/W2129069427","https://openalex.org/W2136602340","https://openalex.org/W2139818446","https://openalex.org/W2177681828","https://openalex.org/W2194775991","https://openalex.org/W2258851456","https://openalex.org/W2546997495","https://openalex.org/W2621919695","https://openalex.org/W2785071288","https://openalex.org/W2786232134","https://openalex.org/W2803439424","https://openalex.org/W2963677766","https://openalex.org/W3000134219","https://openalex.org/W3019295470","https://openalex.org/W3024860948","https://openalex.org/W3040083406","https://openalex.org/W3094407298","https://openalex.org/W3137392741","https://openalex.org/W3145017754","https://openalex.org/W3159761894","https://openalex.org/W3169708052","https://openalex.org/W3175061452","https://openalex.org/W4206803098","https://openalex.org/W4223645942","https://openalex.org/W4236507372","https://openalex.org/W4324055456","https://openalex.org/W4379740269","https://openalex.org/W4389933478","https://openalex.org/W4391467000","https://openalex.org/W4396238315","https://openalex.org/W4404012489"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
