{"id":"https://openalex.org/W7161540625","doi":"https://doi.org/10.48550/arxiv.2605.16110","title":"Causation-guided mechanism identification and interpretable reduced-order modeling of damage-driving grain-boundary stress in creep","display_name":"Causation-guided mechanism identification and interpretable reduced-order modeling of damage-driving grain-boundary stress in creep","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161540625","doi":"https://doi.org/10.48550/arxiv.2605.16110"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16110","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.16110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050433486","display_name":"Weichen Kong","orcid":"https://orcid.org/0000-0003-1399-692X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Weichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048697440","display_name":"Yanwei Dai","orcid":"https://orcid.org/0000-0002-2636-772X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Yanwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136356935","display_name":"Yinglin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yinglin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136439871","display_name":"Yinghua Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yinghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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/T10840","display_name":"High Temperature Alloys and Creep","score":0.6625999808311462,"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"}},"topics":[{"id":"https://openalex.org/T10840","display_name":"High Temperature Alloys and Creep","score":0.6625999808311462,"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"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.08780000358819962,"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/T10204","display_name":"Microstructure and mechanical properties","score":0.06310000270605087,"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/creep","display_name":"Creep","score":0.6890000104904175},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5845000147819519},{"id":"https://openalex.org/keywords/microscale-chemistry","display_name":"Microscale chemistry","score":0.5514000058174133},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5400000214576721},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.4968000054359436},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4374000132083893},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.40119999647140503},{"id":"https://openalex.org/keywords/slip","display_name":"Slip (aerodynamics)","score":0.3968000113964081},{"id":"https://openalex.org/keywords/homogenization","display_name":"Homogenization (climate)","score":0.38929998874664307}],"concepts":[{"id":"https://openalex.org/C149912024","wikidata":"https://www.wikidata.org/wiki/Q462188","display_name":"Creep","level":2,"score":0.6890000104904175},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5845000147819519},{"id":"https://openalex.org/C179428855","wikidata":"https://www.wikidata.org/wiki/Q1069216","display_name":"Microscale chemistry","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4323999881744385},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39259999990463257},{"id":"https://openalex.org/C2778722038","wikidata":"https://www.wikidata.org/wiki/Q17030643","display_name":"Homogenization (climate)","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.38280001282691956},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.25459998846054077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25380000472068787},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16110","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16110","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Grain-boundary":[0],"(GB)":[1],"local":[2,165],"stress":[3,27,46,133],"is":[4],"central":[5],"to":[6,19,39,48,79,120,154],"the":[7,20,25,41,103,107,110,115,124,196,202,212,220],"initiation":[8],"and":[9,29,33,47,83,114,135,142,150,173,199,218],"evolution":[10],"of":[11,52,58,94,127,201,214,222],"long-term":[12],"creep":[13,132],"damage":[14],"in":[15,70],"polycrystalline":[16],"superalloys.":[17],"Owing":[18],"high-dimensional":[21],"nonlinear":[22],"relationships":[23],"between":[24],"GB":[26,45,95,104],"response":[28],"multiple":[30,188],"crystallographic,":[31],"microstructural,":[32],"micromechanical":[34,136],"characteristics,":[35,102],"it":[36],"remains":[37],"challenging":[38],"identify":[40,80],"key":[42],"characteristics":[43,140],"governing":[44,81],"elucidate":[49],"their":[50],"mechanisms":[51,82],"influence.":[53],"Dislocation-climb-affected":[54],"crystal-plasticity":[55],"finite-element":[56],"simulations":[57],"minimal":[59],"grain":[60],"clusters":[61],"are":[62,74,118],"combined":[63],"with":[64],"an":[65],"integrated":[66],"causation-guided":[67],"machine-learning":[68,189,216],"framework,":[69],"which":[71],"mechanics-informed":[72],"descriptors":[73],"analyzed":[75],"by":[76],"causation":[77],"entropy":[78],"then":[84],"distilled":[85],"into":[86],"a":[87,163],"reduced-order":[88],"regression":[89],"form":[90],"for":[91,195,211,219],"interpretable":[92,159,215],"prediction":[93],"normal":[96],"stress.":[97],"Among":[98],"18":[99],"physically":[100,158],"motivated":[101],"inclination":[105],"angle,":[106],"slip":[108],"transmission,":[109],"climb-related":[111],"Schmid-type":[112],"indicator,":[113],"elastic-modulus":[116],"mismatch":[117],"found":[119],"be":[121,152],"dominant,":[122],"revealing":[123],"coupled":[125],"roles":[126],"interfacial":[128],"geometry,":[129],"crystallographic":[130],"compatibility,":[131],"relaxation,":[134],"contrast.":[137],"The":[138,179,205],"identified":[139,203],"hierarchy":[141],"functional":[143],"representation":[144],"remain":[145],"effective":[146],"under":[147],"multiaxial":[148],"loading":[149],"can":[151],"extended":[153],"tricrystal":[155],"systems":[156],"through":[157],"nonlocal":[160,224],"augmentation":[161],"when":[162],"purely":[164],"description":[166],"becomes":[167],"insufficient,":[168],"demonstrating":[169],"strong":[170,209],"physical":[171,177,197],"consistency":[172],"robust":[174],"generalizability":[175],"across":[176,187],"conditions.":[178],"extracted":[180],"candidate":[181],"functions":[182],"also":[183],"improve":[184],"surrogate-model":[185],"performance":[186],"model":[190],"classes,":[191],"providing":[192],"supporting":[193],"evidence":[194],"relevance":[198],"efficiency":[200],"representation.":[204],"proposed":[206],"methods":[207],"demonstrate":[208],"potential":[210],"development":[213],"models":[217],"study":[221],"microscale":[223],"damage.":[225]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-19T00:00:00"}