ReviewNational science review2023
A 'Moore's law' for fibers enables intelligent fabrics.
Review in National science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Highly modular conductive threads for multiplexed detection of hazardous gases.Nature communications · 2026Article
- Article
- Conformal integration of multifunctional nanomembranes on fibers towards intelligent optical platform.Nature communications · 2025Article
- Interface-reinforced high-capacity fiber cathode for wearable Li-S batteries.National science review · 2024Article
- Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Reversible thermochromic fibers with excellent elasticity and hydrophobicity for wearable temperature sensors.RSC advances · 2024Article
- Article
- Self-Powered Smart Textile Based on Dynamic Schottky Diode for Human-Machine Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Piezoelectric fibers for flexible and wearable electronics.Frontiers of optoelectronics · 2023Review
- Electrospun PVDF-based piezoelectric nanofibers: materials, structures, and applications.Nanoscale advances · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fabrics are an indispensable part of our everyday life. They provide us with protection, offer privacy and form an intimate expression of ourselves through their esthetics. Imparting functionality at the fiber level represents an intriguing path toward innovative fabrics with a hitherto unparalleled functionality and value. The fiber technology based on thermal drawing of a preform, which is identical in its materials and geometry to the final fiber, has emerged as a powerful platform for the production of exquisite fibers with prerequisite composition, geometric complexity and control over feature size. A 'Moore's law' for fibers is emerging, delivering higher forms of function that are important for a broad spectrum of practical applications in healthcare, sports, robotics, space exploration, etc. In this review, we survey progress in thermally drawn fibers and devices, and discuss their relevance to 'smart' fabrics. A new generation of fabrics that can see, hear and speak, sense, communicate, harvest and store energy, as well as store and process data is anticipated. We conclude with a critical analysis of existing challenges and opportunities currently faced by thermally drawn fibers and fabrics that are expected to become sophisticated platforms delivering value-added services for our society.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.