{"id":"https://openalex.org/W7147709762","doi":"https://doi.org/10.48550/arxiv.2603.29592","title":"Bioinspired123D: Generative 3D Modeling System for Bioinspired Structures","display_name":"Bioinspired123D: Generative 3D Modeling System for Bioinspired Structures","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7147709762","doi":"https://doi.org/10.48550/arxiv.2603.29592"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29592","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.2603.29592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132610246","display_name":"Rachel K. Luu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luu, Rachel K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011504360","display_name":"Markus J. Buehler","orcid":"https://orcid.org/0000-0002-4173-9659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Buehler, Markus J.","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":0.6823999881744385,"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":0.6823999881744385,"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/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.03500000014901161,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10789","display_name":"Interactive and Immersive Displays","score":0.03449999913573265,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7164999842643738},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.663100004196167},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6014999747276306},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5282999873161316},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4715000092983246},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4697999954223633},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.4083000123500824},{"id":"https://openalex.org/keywords/modeling-language","display_name":"Modeling language","score":0.3716000020503998},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.3671000003814697},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029000163078308},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7164999842643738},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.663100004196167},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6014999747276306},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5115000009536743},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4697999954223633},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.3716000020503998},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.3671000003814697},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3515999913215637},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C2778370241","wikidata":"https://www.wikidata.org/wiki/Q18386598","display_name":"Parametric design","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C2780330621","wikidata":"https://www.wikidata.org/wiki/Q7936609","display_name":"Visual modeling","level":4,"score":0.29820001125335693},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29592","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.2603.29592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29592","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5077801942825317}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0],"AI":[1,220],"has":[2],"made":[3],"rapid":[4],"progress":[5],"in":[6,141,224],"text,":[7],"image,":[8],"and":[9,25,47,56,110,117,127,151,160,176,203,213,226],"video":[10],"synthesis,":[11],"yet":[12],"text-to-3D":[13,215],"modeling":[14],"for":[15,171],"scientific":[16,222],"design":[17,90,112],"remains":[18],"particularly":[19],"challenging":[20],"due":[21],"to":[22,45,49,86,156,219],"limited":[23],"controllability":[24],"high":[26],"computational":[27],"cost.":[28],"Most":[29],"existing":[30],"3D":[31,63,172],"generative":[32],"methods":[33],"rely":[34],"on":[35,167],"meshes,":[36],"voxels,":[37],"or":[38],"point":[39],"clouds":[40],"which":[41],"can":[42],"be":[43],"costly":[44],"train":[46],"difficult":[48],"control.":[50],"We":[51,101,164],"introduce":[52],"Bioinspired123D,":[53],"a":[54,81,103,142,152,168,181],"lightweight":[55],"modular":[57],"code-as-geometry":[58,207],"pipeline":[59],"that":[60,146,178],"generates":[61],"fabricable":[62],"structures":[64],"directly":[65],"through":[66,129],"parametric":[67,121],"programs":[68],"rather":[69],"than":[70],"dense":[71],"visual":[72],"representations.":[73],"At":[74],"the":[75],"core":[76],"of":[77,106],"Bioinspired123D":[78,179,209],"is":[79,125,138],"Bioinspired3D,":[80],"compact":[82],"language":[83,89,196],"model":[84,154],"finetuned":[85],"translate":[87],"natural":[88],"cues":[91],"into":[92],"Blender":[93],"Python":[94],"scripts":[95,113],"encoding":[96],"smooth,":[97],"biologically":[98],"inspired":[99],"geometries.":[100],"curate":[102],"domain-specific":[104],"dataset":[105,124],"over":[107,185],"4,000":[108],"bioinspired":[109],"geometric":[111],"spanning":[114],"helical,":[115],"cellular,":[116],"tubular":[118],"motifs":[119],"with":[120],"variability.":[122],"The":[123],"expanded":[126],"validated":[128],"an":[130],"automated":[131],"LLM-driven,":[132],"Blender-based":[133],"quality":[134],"control":[135],"pipeline.":[136],"Bioinspired3D":[137],"then":[139],"embedded":[140],"graph-based":[143],"agentic":[144],"framework":[145],"integrates":[147],"multimodal":[148],"retrieval-augmented":[149],"generation":[150,175],"vision-language":[153],"critic":[155],"iteratively":[157],"evaluate,":[158],"critique,":[159],"repair":[161],"generated":[162],"scripts.":[163],"evaluate":[165],"performance":[166],"new":[169],"benchmark":[170],"geometry":[173],"script":[174],"show":[177],"demonstrates":[180],"near":[182],"fourfold":[183],"improvement":[184],"its":[186],"non-finetuned":[187],"base":[188],"model,":[189],"while":[190],"also":[191],"outperforming":[192],"substantially":[193],"larger":[194],"state-of-the-art":[195],"models":[197],"despite":[198],"using":[199],"far":[200],"fewer":[201],"parameters":[202],"compute.":[204],"By":[205],"prioritizing":[206],"representations,":[208],"enables":[210],"compute-efficient,":[211],"controllable,":[212],"interpretable":[214],"generation,":[216],"lowering":[217],"barriers":[218],"driven":[221],"discovery":[223],"materials":[225],"structural":[227],"design.":[228]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}