Issue

Vol. 18 (2026)

Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing

https://doi.org/10.1007/s40820-025-01825-x
Zhenqian Zhu
School of Integrated Circuits, Shandong University, Jinan 250100, People’s Republic of China
Jiheng Shui
School of Integrated Circuits, Shandong University, Jinan 250100, People’s Republic of China
Tianyu Wang
School of Integrated Circuits, Shandong University, Jinan 250100, People’s Republic of China
Jialin Meng
School of Integrated Circuits, Shandong University, Jinan 250100, People’s Republic of China

Corresponding Author: Jialin Meng

jlmeng@sdu.edu.cn

Nano-Micro Letters, Vol. 18 (2026), Article Number: 2

Abstract

The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications. Inspired by in-memory computing architecture of human brain, flexible memristors exhibit great application potential in emulating artificial synapses for high-efficiency and low power consumption neuromorphic computing. This paper provides comprehensive overview of flexible memristors from perspectives of development history, material system, device structure, mechanical deformation method, device performance analysis, stress simulation during deformation, and neuromorphic computing applications. The recent advances in flexible electronics are summarized, including single device, device array and integration. The challenges and future perspectives of flexible memristor for neuromorphic computing are discussed deeply, paving the way for constructing wearable smart electronics and applications in large-scale neuromorphic computing and high-order intelligent robotics.


Highlights:
1 This review systematically summarizes materials system, development history, device structure, stress simulation and applications of flexible memristors.
2 This review highlights the critical influence of mechanical properties on flexible memristors, with particular emphasis on deformation parameters and finite element simulation.
3 The applications of future memristors in neuromorphic computing are deeply discussed for next-generation wearable electronics

Keywords

Flexible memristor Neuromorphic computing Mechanical property Wearable electronics
Zhu, Zhenqian, Jiheng Shui, Tianyu Wang, and Jialin Meng. 2025. “Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing”. Nano-Micro Letters 18 (July):2. https://doi.org/10.1007/s40820-025-01825-x.
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