{"id":"https://openalex.org/W7165385461","doi":"https://doi.org/10.48550/arxiv.2606.19375","title":"Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations","display_name":"Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7165385461","doi":"https://doi.org/10.48550/arxiv.2606.19375"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.19375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.19375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137799886","display_name":"Hyeonbin Moon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moon, Hyeonbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082823292","display_name":"Donghyuk Cho","orcid":"https://orcid.org/0000-0001-5469-8289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Donghyuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107877612","display_name":"J. Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Jecheon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061676060","display_name":"Jeong Whan Yoon","orcid":"https://orcid.org/0000-0002-7616-5253"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon, Jeong Whan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138965257","display_name":"Seunghwa Ryu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryu, Seunghwa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.8644999861717224,"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":0.8644999861717224,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.016599999740719795,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.015200000256299973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.652899980545044},{"id":"https://openalex.org/keywords/yield-surface","display_name":"Yield surface","score":0.5594000220298767},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.5490999817848206},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49470001459121704},{"id":"https://openalex.org/keywords/plasticity","display_name":"Plasticity","score":0.45590001344680786},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.4429999887943268},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4401000142097473},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4212999939918518},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.41440001130104065},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.4047999978065491}],"concepts":[{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.652899980545044},{"id":"https://openalex.org/C49932977","wikidata":"https://www.wikidata.org/wiki/Q2288902","display_name":"Yield surface","level":4,"score":0.5594000220298767},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5004000067710876},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44429999589920044},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4212999939918518},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.41909998655319214},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.41440001130104065},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.3709000051021576},{"id":"https://openalex.org/C2187777","wikidata":"https://www.wikidata.org/wiki/Q1071743","display_name":"Parametric surface","level":3,"score":0.36070001125335693},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2928999960422516},{"id":"https://openalex.org/C55359492","wikidata":"https://www.wikidata.org/wiki/Q7935671","display_name":"Viscoplasticity","level":4,"score":0.287200003862381},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C72319582","wikidata":"https://www.wikidata.org/wiki/Q584304","display_name":"Degenerate energy levels","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26820001006126404},{"id":"https://openalex.org/C99636146","wikidata":"https://www.wikidata.org/wiki/Q35889","display_name":"Parametric equation","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C205979905","wikidata":"https://www.wikidata.org/wiki/Q215084","display_name":"Analytic function","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.19375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.19375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Identifying":[0],"anisotropic":[1,179],"yield":[2,39,56,63,69,88,115,152,155,180],"functions":[3,40,181],"remains":[4],"challenging":[5],"since":[6],"yielding":[7],"is":[8,29,90,117,137],"not":[9],"directly":[10],"observed":[11],"in":[12],"full-field":[13,42],"mechanical":[14],"measurements,":[15,54],"directional":[16],"calibration":[17],"can":[18],"require":[19],"many":[20],"loading":[21,132],"directions,":[22],"and":[23,45,100,112,124,150,168,184],"selecting":[24],"an":[25],"appropriate":[26],"analytical":[27],"form":[28],"nontrivial.":[30],"This":[31,171],"study":[32,172],"proposes":[33],"a":[34,60,72,93,120,125,174],"physics-informed":[35,126],"framework":[36,66,136],"for":[37,177],"discovering":[38,178],"from":[41,182],"displacement":[43,183],"data":[44,186],"reaction":[46],"force":[47,127,185],"data,":[48,58],"without":[49],"stress":[50,79,122,164,197],"observations,":[51],"plastic":[52],"strain":[53],"direct":[55,84],"surface":[57],"or":[59],"prescribed":[61],"parametric":[62],"function.":[64],"The":[65,87,134],"identifies":[67],"the":[68,108,189,193],"function":[70,89,116],"as":[71],"mechanically":[73],"constrained":[74],"constitutive":[75],"component":[76,191],"inside":[77],"elastoplastic":[78,196],"integration,":[80],"rather":[81],"than":[82],"through":[83,161],"stress-space":[85],"supervision.":[86],"represented":[91],"by":[92],"convex":[94],"neural":[95,114],"network":[96],"that":[97],"enforces":[98],"convexity":[99],"positive":[101],"homogeneity":[102],"of":[103,195],"degree":[104],"one":[105],"while":[106,187],"imposing":[107],"assumed":[109],"tension-compression":[110],"symmetry,":[111],"this":[113],"trained":[118],"with":[119,145],"differentiable":[121],"update":[123],"equilibrium":[128],"loss":[129],"across":[130],"multiple":[131],"cases.":[133],"proposed":[135],"validated":[138],"using":[139],"finite":[140],"element":[141],"(FE)":[142],"benchmark":[143],"studies":[144],"von":[146],"Mises,":[147],"Hill":[148],"1948,":[149],"Yld2000-2d":[151],"functions,":[153],"assessing":[154],"contour":[156],"agreement,":[157],"displacement-noise":[158],"sensitivity,":[159],"identifiability":[160],"plastically":[162],"active":[163],"states,":[165],"epistemic":[166],"uncertainty,":[167],"polynomial-surrogate":[169],"deployment.":[170],"provides":[173],"mechanics-constrained":[175],"pathway":[176],"keeping":[188],"identified":[190],"within":[192],"structure":[194],"integration.":[198]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-20T00:00:00"}