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A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

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

Vuong Dinh Trung¹, Jiaxiang Yi², Hieu Nguyen-Duc¹

¹College of Engineering and Computer Science, Center for Materials Innovation and Technology, Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam.

Advanced Materials (Deerfield Beach, Fla.)

|June 5, 2026

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Smart textiles integrate artificial intelligence (AI) with advanced fiber drawing. This enables self-optimizing systems where fibers act as intelligent nodes for next-generation materials.

Area of Science:

Materials Science
Computer Science
Textile Engineering

Background:

Smart textiles require multimaterial systems with mechanical compliance and adaptive computational abilities.
Thermally drawn fibers offer a scalable platform for integrating diverse materials (polymers, metals, semiconductors) into continuous architectures.
These hybrid fibers facilitate distributed sensing, energy modulation, and signal transduction, generating data suitable for AI analysis.

Purpose of the Study:

To review recent advances in AI and thermal drawing technologies for smart textiles.
To highlight progress in multimaterial co-drawing, hierarchical fiber engineering, and in-fiber computation.
To discuss future challenges and opportunities in AI-driven textile systems.

Main Methods:

Keywords:

artificial intelligence artificial neural network fiber electronics and optoelectronics intelligent fabrics textile industry wearable electronics

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Fabricating Metamaterials Using the Fiber Drawing Method

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Last Updated: Jun 6, 2026

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

Fabricating Metamaterials Using the Fiber Drawing Method

Fabricating Metamaterials Using the Fiber Drawing Method

Published on: October 18, 2012

Surveying recent literature at the intersection of AI and thermal drawing.

Focusing on data-centric optimization, real-time process control, and signal processing in fiber fabrication.

Examining neuromorphic and spiking neural network (SNN)-based approaches for energy-efficient computation.

Main Results:

AI and thermal drawing are reshaping fiber fabrication and system integration for smart textiles.
Progress in multimaterial co-drawing and hierarchical engineering enables in-fiber computation.
Neuromorphic and SNN approaches are well-suited for the distributed nature of textile platforms.

Conclusions:

Advances in AI and thermal drawing pave the way for autonomous, self-optimizing textile systems.
Individual fibers can function as distributed, cognitively inspired nodes in intelligent materials.
Future opportunities include scalable neuromorphic architectures and AI-driven materials optimization.