Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles.

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Bibliographic Details
Title: Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles.
Authors: Trung VD; College of Engineering and Computer Science, Center for Materials Innovation and Technology, Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam., Yi J; Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands., Nguyen-Duc H; College of Engineering and Computer Science, Center for Materials Innovation and Technology, Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam., Lo TNH; College of Engineering and Computer Science, Center for Materials Innovation and Technology, Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam., Zhao W; Faculty of Textile Science and Technology, Shinshu University, Ueda, Nagano, Japan., Dong C; Department of Mechanical Engineering, Columbia University, New York, USA., Sorin F; Department of Materials Science and Engineering, Ecole Polytechnique Federale De Lausanne, Lausanne, Switzerland., Caglar B; Aerospace Structures and Materials Department, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands., Wei L; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Nguyen-Dang T; College of Engineering and Computer Science, Center for Materials Innovation and Technology, Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam.
Source: Advanced materials (Deerfield Beach, Fla.) [Adv Mater] 2026 Jul; Vol. 38 (40), pp. e73574. Date of Electronic Publication: 2026 Jun 05.
Publication Type: Journal Article; Review
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 9885358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-4095 (Electronic) Linking ISSN: 09359648 NLM ISO Abbreviation: Adv Mater Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1521-4095
DOI:10.1002/adma.73574