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Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing

Zhenqian Zhu, Jiheng Shui, Tianyu Wang, Jialin Meng

Year
2025
Citations
13
Access
Open access

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.

Keywords

Neuromorphic engineeringMemristorComputer architectureComputer scienceWearable computerElectronicsWearable technologyRoboticsArtificial intelligenceEmbedded system

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