Amorphous LiNbO 3 memristors for nonvolatile memory and neuromorphic computing with metaplasticity-enabled learning
Abstract
Abstract This work presents a comprehensive study on amorphous LiNbO 3 (LNO)-based memristors and their application in nonvolatile memory and neuromorphic computing. We demonstrate the fabrication of Ti/LNO/Au memristors exhibiting robust bipolar analog switching, excellent cycle-to-cycle uniformity, and long-term retention. These devices retain full switching functionality up to 400 °C, emphasizing the intrinsic thermal resilience of the amorphous LNO matrix and the stability of oxygen-vacancy-mediated filament dynamics. The devices further display a range of synaptic behaviors such as long-term potentiation, long-term depression, paired-pulse facilitation, and spike-timing-dependent plasticity, which are essential for biologically plausible learning rules in neuromorphic systems. The history-dependent conductance evolution of the memristors enables metaplasticity, which adaptively regulates learning rates and mitigates catastrophic forgetting in sequential MNIST tasks while maintaining high accuracy even at 200 °C. These findings position amorphous LNO as a promising material for next-generation memristive hardware, uniquely combining thermal endurance, analog plasticity, and metaplastic learning regulation.
Fields of Study & Subjects
Advanced Memory and Neural Computing
Transition Metal Oxide Nanomaterials
Ferroelectric and Negative Capacitance Devices
Publication details
- Journal / source
- Neuromorphic Computing and Engineering
- Publisher
- IOP Publishing
- Volume
- 6
- Issue
- 2
- Pages
- 024020–024020
- Publication date
- 18 May 2026
- Language
- EN