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Herein, we propose a systematic digital twin workflow tailored for generating high\u2010fidelity virtual representations of anisotropic composite microstructures and giga\u2010voxel meso\u2010structural models, leveraging a harmonious integration of top\u2010down image\u2010based modeling and bottom\u2010up data\u2010driven generation. Our study demonstrates the efficacy of micro\u2010digital representations as foundational building blocks within a continuum of digital assembly processes tailored for mesostructural models. Utilizing 3D image data, specifically X\u2010ray tomography, our data\u2010driven modeling meticulously characterizes the geometric attributes of the experimentally observed objects, thereby facilitating the creation of digital unit twins, each endowed with distinct identities assigned through a random seed generation. The closed\u2010loop system provides feedback mechanism between data and model to ensure the 3D quality of the generated models. For hierarchical organization at the giga\u2010voxel level, the digital unit twins are methodically expanded into cohesive 3D architectures based on assembly relationship at length scales of more than four orders of magnitude. Remarkably, this hierarchical model provides intricate insight into micro\u2010to\u2010macro geometrics while preserving the intrinsic microstructure.<\/jats:p>","DOI":"10.1002\/adma.202510559","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T14:21:18Z","timestamp":1763994078000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Giga\u2010Voxel Multiscale Composite Architecture Mirrored Through a Data\u2010to\u2010Model Closed\u2010Loop Digital Twin"],"prefix":"10.1002","volume":"38","author":[{"given":"Siwon","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering KAIST  Daejeon 34141 Republic of Korea"},{"name":"Department of Materials University of Oxford  Oxford OX1 3PH UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seungsoo","family":"Jang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering KAIST  Daejeon 34141 Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young Seok","family":"Cho","sequence":"additional","affiliation":[{"name":"Trinity Engineering  Seoul 07997 Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seunggyu","family":"Park","sequence":"additional","affiliation":[{"name":"Institute of Advanced Composite Materials Korea Institute of Science and Technology, (KIST)  Jeonbuk 55324 Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun Yeon","family":"Hwang","sequence":"additional","affiliation":[{"name":"Institute of Advanced Composite Materials Korea Institute of Science and Technology, (KIST)  Jeonbuk 55324 Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soon Hyung","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Material Science and Engineering KAIST  Daejeon 34141 Republic of Korea"},{"name":"Nanotechnology Research Institute Jiaxing University  Jiaxing 314001 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas James","family":"Marrow","sequence":"additional","affiliation":[{"name":"Department of Materials University of Oxford  Oxford OX1 3PH UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3067-4589","authenticated-orcid":false,"given":"Kang Taek","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering KAIST  Daejeon 34141 Republic of Korea"},{"name":"KAIST Graduate School of Green Growth and Sustainability  Daejeon 34141 Republic of Korea"},{"name":"KAIST InnoCORE PRISM\u2010AI Center KAIST  Daejeon 34141 Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,11,24]]},"reference":[{"key":"e_1_2_8_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/asi5010007"},{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmat4544"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41563-022-01384-1"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.277.5330.1237"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abd7416"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmatsci.2018.02.003"},{"key":"e_1_2_8_7_1","volume":"4","author":"Singh M.","year":"2021","journal-title":"Appl. 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