{"id":"https://openalex.org/W7133316171","doi":"https://doi.org/10.48550/arxiv.2603.00731","title":"The Configurational Element Method for Nonconvex Granular Media","display_name":"The Configurational Element Method for Nonconvex Granular Media","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133316171","doi":"https://doi.org/10.48550/arxiv.2603.00731"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00731","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00731","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":null,"license_id":null,"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.2603.00731","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127908909","display_name":"Zhecheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhecheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004988872","display_name":"Breannan Smith","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smith, Breannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108715538","display_name":"Abhishek Madan","orcid":"https://orcid.org/0000-0002-6119-7500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madan, Abhishek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049319779","display_name":"Eitan Grinspun","orcid":"https://orcid.org/0000-0003-4460-7747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grinspun, Eitan","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6261000037193298,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6261000037193298,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.021900000050663948,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.021199999377131462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6577000021934509},{"id":"https://openalex.org/keywords/granular-material","display_name":"Granular material","score":0.5889000296592712},{"id":"https://openalex.org/keywords/discrete-element-method","display_name":"Discrete element method","score":0.5685999989509583},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.47600001096725464},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.45100000500679016},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44510000944137573},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41920000314712524}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6577000021934509},{"id":"https://openalex.org/C32568104","wikidata":"https://www.wikidata.org/wiki/Q1155083","display_name":"Granular material","level":2,"score":0.5889000296592712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874000191688538},{"id":"https://openalex.org/C171872576","wikidata":"https://www.wikidata.org/wiki/Q902783","display_name":"Discrete element method","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.39070001244544983},{"id":"https://openalex.org/C2778931886","wikidata":"https://www.wikidata.org/wiki/Q5164827","display_name":"Contact dynamics","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3077999949455261},{"id":"https://openalex.org/C81302111","wikidata":"https://www.wikidata.org/wiki/Q2916417","display_name":"Contact force","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2992895300","wikidata":"https://www.wikidata.org/wiki/Q1155083","display_name":"Granular matter","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2524999976158142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00731","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00731","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00731","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00731","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Granular":[0],"media":[1],"surround":[2],"us,":[3],"comprising":[4],"everything":[5],"from":[6],"the":[7,13,27,96,107],"ground":[8],"we":[9,15],"walk":[10],"on":[11,124],"to":[12,18,23,45,60,82,116,130],"foods":[14],"eat.":[16],"Owing":[17],"their":[19,53],"ubiquity":[20],"our":[21,50,58],"ability":[22,59],"understand":[24],"and":[25,74,94,112,132],"predict":[26],"mechanical":[28],"evolution":[29],"of":[30,35,49,110,138],"grains":[31,67,86],"is":[32,40],"not":[33],"only":[34],"key":[36,43],"scientific":[37],"importance,":[38,54],"but":[39],"also":[41],"a":[42,72,80,101],"component":[44],"synthesize":[46],"believable":[47],"animations":[48],"world.":[51],"Despite":[52],"shortcomings":[55],"persist":[56],"in":[57,91],"simulate":[61,83,134],"granular":[62],"media.":[63],"In":[64],"particular,":[65],"simulating":[66,113],"with":[68,100],"non-convex":[69,84,114,139],"shapes":[70,115],"remains":[71],"challenging":[73],"computationally":[75],"expensive":[76],"task.":[77],"We":[78],"propose":[79],"method":[81],"rigid":[85],"by":[87],"posing":[88],"geometric":[89],"contact":[90,98],"configuration":[92],"space":[93],"learning":[95],"resulting":[97],"map":[99],"neural":[102],"network.":[103],"Our":[104],"formulation":[105],"reduces":[106],"complex":[108],"task":[109],"modeling":[111],"simple":[117],"network":[118],"evaluations":[119],"that":[120],"are":[121],"easily":[122],"run":[123],"standard":[125],"compute":[126],"hardware,":[127],"allowing":[128],"us":[129],"quickly":[131],"robustly":[133],"large":[135],"scale":[136],"systems":[137],"grains.":[140]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-04T00:00:00"}