{"id":"https://openalex.org/W4415299523","doi":"https://doi.org/10.3390/a18100651","title":"Point-Wise Full-Field Physics Neural Mapping Framework via Boundary Geometry Constrained for Large Thermoplastic Deformation","display_name":"Point-Wise Full-Field Physics Neural Mapping Framework via Boundary Geometry Constrained for Large Thermoplastic Deformation","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W4415299523","doi":"https://doi.org/10.3390/a18100651"},"language":"en","primary_location":{"id":"doi:10.3390/a18100651","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18100651","pdf_url":"https://www.mdpi.com/1999-4893/18/10/651/pdf?version=1760605443","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/18/10/651/pdf?version=1760605443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101899715","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-8127-7575"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jue Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101059157","display_name":"Xinyi Xu","orcid":"https://orcid.org/0009-0002-7459-350X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyi Xu","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038428900","display_name":"Changxin Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxin Ye","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010340533","display_name":"Wei Huangfu","orcid":"https://orcid.org/0000-0003-2887-8395"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huangfu","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-2887-8395","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101059157"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19601185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"10","first_page":"651","last_page":"651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10188","display_name":"Advanced machining processes and optimization","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/boundary","display_name":"Boundary (topology)","score":0.535099983215332},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5264999866485596},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4887999892234802},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.47909998893737793},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45210000872612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4300999939441681},{"id":"https://openalex.org/keywords/boundary-representation","display_name":"Boundary representation","score":0.4187999963760376},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.3952000141143799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5789999961853027},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.535099983215332},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43810001015663147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C117258860","wikidata":"https://www.wikidata.org/wiki/Q895153","display_name":"Boundary representation","level":3,"score":0.4187999963760376},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4027000069618225},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C2781247691","wikidata":"https://www.wikidata.org/wiki/Q380677","display_name":"Thermoplastic","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.26100000739097595}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a18100651","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18100651","pdf_url":"https://www.mdpi.com/1999-4893/18/10/651/pdf?version=1760605443","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:95207216d8204dbaab0869fa594773b6","is_oa":true,"landing_page_url":"https://doaj.org/article/95207216d8204dbaab0869fa594773b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 18, Iss 10, p 651 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18100651","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18100651","pdf_url":"https://www.mdpi.com/1999-4893/18/10/651/pdf?version=1760605443","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G148997875","display_name":null,"funder_award_id":"62306030","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320331088","display_name":"Natural Science Foundation for Young Scientists of Shanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4415299523.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1967189846","https://openalex.org/W1989210122","https://openalex.org/W1992580518","https://openalex.org/W2073360937","https://openalex.org/W2079155138","https://openalex.org/W2084041252","https://openalex.org/W2092981979","https://openalex.org/W2168897137","https://openalex.org/W2623328748","https://openalex.org/W2785071288","https://openalex.org/W3005825957","https://openalex.org/W3022972893","https://openalex.org/W3043326965","https://openalex.org/W3087425401","https://openalex.org/W3156335941","https://openalex.org/W4210901316","https://openalex.org/W4213232821","https://openalex.org/W4283734756","https://openalex.org/W4285082580","https://openalex.org/W4311532834","https://openalex.org/W4313582867","https://openalex.org/W4389560237","https://openalex.org/W4392224288","https://openalex.org/W4395071416","https://openalex.org/W4399321325","https://openalex.org/W4399877948","https://openalex.org/W4403472280","https://openalex.org/W4404260415"],"related_works":[],"abstract_inverted_index":{"Computation":[0],"modeling":[1],"for":[2,11,161],"large":[3,165],"thermoplastic":[4,166],"deformation":[5],"of":[6,17,80,164],"plastic":[7],"solids":[8],"is":[9],"critical":[10],"industrial":[12],"applications":[13],"like":[14],"non-invasive":[15],"assessment":[16],"engineering":[18],"components.":[19],"While":[20],"deep":[21,154],"learning-based":[22],"methods":[23],"have":[24],"emerged":[25],"as":[26,84],"promising":[27],"alternatives":[28],"to":[29],"traditional":[30],"numerical":[31],"simulations,":[32],"they":[33],"often":[34],"suffer":[35],"from":[36,94,110],"systematic":[37],"errors":[38,109],"caused":[39],"by":[40,97],"geometric":[41,92],"mismatches":[42],"between":[43,66,102],"predicted":[44],"and":[45,69,104,126],"ground":[46],"truth":[47],"meshes.":[48],"To":[49],"overcome":[50],"this":[51,81],"limitation,":[52],"we":[53],"propose":[54],"a":[55,87,114,128,147,158],"novel":[56],"boundary":[57],"geometry-constrained":[58],"neural":[59],"framework":[60],"that":[61,90,118,132,143],"establishes":[62],"direct":[63],"point-wise":[64,100],"mappings":[65,101],"spatial":[67],"coordinates":[68,103],"full-field":[70],"physical":[71,105,120],"quantities":[72],"within":[73],"the":[74],"deformed":[75],"domain.":[76],"The":[77],"key":[78],"contributions":[79],"work":[82],"are":[83],"follows:":[85],"(1)":[86],"two-stage":[88],"strategy":[89],"separates":[91],"prediction":[93,151],"physics-field":[95],"resolution":[96],"constructing":[98],"direct,":[99],"quantities,":[106],"inherently":[107],"avoiding":[108],"mesh":[111],"misalignment;":[112],"(2)":[113],"boundary-condition-aware":[115],"encoding":[116],"mechanism":[117],"ensures":[119],"consistency":[121],"under":[122],"complex":[123],"loading":[124],"conditions;":[125],"(3)":[127],"fully":[129],"mesh-free":[130],"approach":[131],"operates":[133],"on":[134],"point":[135],"clouds":[136],"without":[137],"structured":[138],"discretization.":[139],"Experimental":[140],"results":[141],"demonstrate":[142],"our":[144],"method":[145],"achieves":[146],"36\u201398%":[148],"improvement":[149],"in":[150],"accuracy":[152],"over":[153],"learning":[155],"baselines,":[156],"offering":[157],"efficient":[159],"alternative":[160],"high-fidelity":[162],"simulation":[163],"deformations.":[167]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-18T00:00:00"}