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Topical Review | Open Access

Stretchable neuromorphic electronics for future human-integrated intelligence

Tianda Fu§ ( ), Ruizhe Yang§, Max Weires, Junyi Yin, Yifan Liao, Yifan Guo
Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, United States of America

§ These authors contributed equally to this work and should be considered co-first-author.

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Abstract

Neuromorphic electronics emulate the computational principles of biological neural systems, offering low-power, adaptive, and parallel signal processing capabilities for next-generation intelligent systems. When integrated with stretchable platforms, neuromorphic devices gain the mechanical compliance necessary to interface seamlessly with soft, dynamic biological environments, enabling applications in wearable computing, bioelectronic skins, and implantable artificial intelligence. This review provides a comprehensive overview of recent progress in stretchable neuromorphic electronics, covering device architectures, material design strategies, underlying neuromorphic mechanisms, and novel applications. We also discuss key challenges and outline future research directions toward advancing the performance, integration, and translational potential of stretchable neuromorphic systems. Ultimately, we aim to provide a foundational resource to guide the co-design of materials, devices, and systems toward autonomous, skin-conformal neuromorphic intelligence.

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International Journal of Extreme Manufacturing

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Cite this article:
Fu T, Yang R, Weires M, et al. Stretchable neuromorphic electronics for future human-integrated intelligence. International Journal of Extreme Manufacturing, 2026, 8(4). https://doi.org/10.1088/2631-7990/ae5004

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Received: 13 August 2025
Revised: 18 October 2025
Accepted: 09 March 2026
Published: 23 March 2026
© 2026 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.