As traditional silicon electronics approach their flexibility and energy-efficiency limits, wearable neuromorphic systems demand memory devices that bend, stretch and twist without losing performance. Now researchers from Shandong University—led by Prof. Jialin Meng and Prof. Tianyu Wang—have published a comprehensive review in Nano-Micro Letters that systematically analyzes how mechanical deformation affects flexible memristors and outlines design rules for reliable, brain-inspired electronics.
Why Mechanical Analysis Matters
Innovative Design and Features
Applications and Future Outlook
This work establishes a mechanical-lifetime framework that bridges materials physics and circuit design, paving the way for flexible, energy-efficient neuromorphic hardware from edge AI to bio-integrated robotics.
Nano-Micro Letters
Experimental study
Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing
17-Jul-2025