{"id":"https://openalex.org/W7155066141","doi":"https://doi.org/10.48550/arxiv.2604.16687","title":"Agentic Risk-Aware Set-Based Engineering Design","display_name":"Agentic Risk-Aware Set-Based Engineering Design","publication_year":2026,"publication_date":"2026-04-17","ids":{"openalex":"https://openalex.org/W7155066141","doi":"https://doi.org/10.48550/arxiv.2604.16687"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.16687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16687","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":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.2604.16687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134134617","display_name":"Varun Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Varun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134157435","display_name":"George Em Karniadakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karniadakis, George Em","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/T11489","display_name":"Air Traffic Management and Optimization","score":0.2766000032424927,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11489","display_name":"Air Traffic Management and Optimization","score":0.2766000032424927,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.15369999408721924,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11524","display_name":"Advanced Aircraft Design and Technologies","score":0.15289999544620514,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6340000033378601},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5964999794960022},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.5175999999046326},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45750001072883606},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4535999894142151},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4406999945640564},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.43689998984336853},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4287000000476837}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6340000033378601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633400022983551},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.569599986076355},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.40529999136924744},{"id":"https://openalex.org/C48262172","wikidata":"https://www.wikidata.org/wiki/Q16908765","display_name":"Design process","level":3,"score":0.36649999022483826},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C2777515626","wikidata":"https://www.wikidata.org/wiki/Q496939","display_name":"Levenshtein distance","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C55396564","wikidata":"https://www.wikidata.org/wiki/Q3084971","display_name":"Process design","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2759999930858612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C2778712445","wikidata":"https://www.wikidata.org/wiki/Q5264352","display_name":"Design knowledge","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.16687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16687","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":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.2604.16687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16687","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4946232736110687}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,214],"paper":[1],"introduces":[2],"a":[3,21,34,50,55,58,61,73,78,86,96,106,114,141,149,171,198],"multi-agent":[4],"framework":[5,48,165],"guided":[6],"by":[7,25,72,176,192],"Large":[8],"Language":[9],"Models":[10],"(LLMs)":[11],"to":[12,109,144,154,184,219],"assist":[13],"in":[14,233],"the":[15,40,47,82,90,103,128,136,159,177,186,194,226,230,235],"early":[16],"stages":[17],"of":[18,43,52,98,117,124,131,152,162,202,229],"engineering":[19],"design,":[20,46],"phase":[22,88],"often":[23],"characterized":[24],"vast":[26],"parameter":[27],"spaces":[28],"and":[29,37,65,92,112],"inherent":[30],"uncertainty.":[31],"Operating":[32],"under":[33],"human-in-the-loop":[35],"paradigm":[36],"demonstrated":[38],"on":[39],"canonical":[41],"problem":[42],"aerodynamic":[44],"airfoil":[45],"employs":[49],"team":[51],"specialized":[53],"agents:":[54],"Coding":[56,93],"Assistant,":[57],"Design":[59],"Agent,":[60,64],"Systems":[62],"Engineering":[63],"an":[66],"Analyst":[67,178],"Agent":[68],"-":[69],"all":[70],"coordinated":[71],"human":[74,195,231],"Manager.":[75],"Integrated":[76],"within":[77],"set-based":[79],"design":[80,119,204],"philosophy,":[81],"process":[83,190],"begins":[84],"with":[85,197,207],"collaborative":[87],"where":[89],"Manager":[91,196],"Assistant":[94],"develop":[95],"suite":[97],"validated":[99],"tools,":[100],"after":[101],"which":[102,180],"agents":[104],"execute":[105],"structured":[107],"workflow":[108],"systematically":[110],"explore":[111],"prune":[113],"large":[115],"set":[116,201],"initial":[118,168],"candidates.":[120],"A":[121],"key":[122],"contribution":[123],"this":[125],"work":[126],"is":[127],"explicit":[129],"integration":[130],"formal":[132],"risk":[133],"management,":[134],"employing":[135],"Conditional":[137],"Value-at-Risk":[138],"(CVaR)":[139],"as":[140],"quantitative":[142],"metric":[143],"filter":[145],"designs":[146],"that":[147],"exhibit":[148],"high":[150],"probability":[151],"failing":[153],"meet":[155],"performance":[156],"requirements,":[157],"specifically":[158],"target":[160],"coefficient":[161],"lift.":[163],"The":[164,189],"automates":[166],"labor-intensive":[167],"exploration":[169],"through":[170],"global":[172],"sensitivity":[173],"analysis":[174],"conducted":[175],"agent,":[179],"generates":[181],"actionable":[182],"heuristics":[183],"guide":[185],"other":[187],"agents.":[188],"culminates":[191],"presenting":[193],"curated":[199],"final":[200],"promising":[203],"candidates,":[205],"augmented":[206],"high-fidelity":[208],"Computational":[209],"Fluid":[210],"Dynamics":[211],"(CFD)":[212],"simulations.":[213],"approach":[215],"effectively":[216],"leverages":[217],"AI":[218],"handle":[220],"high-volume":[221],"analytical":[222],"tasks,":[223],"thereby":[224],"enhancing":[225],"decision-making":[227],"capability":[228],"expert":[232],"selecting":[234],"final,":[236],"risk-assessed":[237],"design.":[238]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}