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Kesterite-based optoelectronic synaptic memristors: a mini-review on material design and neuromorphic application
Fengxia Yang1, Hao Sun1, Xiaofei Dong1
1College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China.
Science and Technology of Advanced Materials
|July 22, 2026
Summary
Kesterite-based materials offer a promising solution for next-generation intelligent computing by enabling efficient in-memory and neuromorphic computing. These optoelectronic synaptic memristors address the limitations of conventional architectures, paving the way for advanced AI applications.
Area of Science:
- Materials Science
- Computer Engineering
- Neuroscience
Background:
- Conventional Von Neumann architecture faces limitations in big data and AI due to storage-compute separation and high energy consumption.
- Memristors offer solutions for in-memory computing and neuromorphic computing with high-density storage, adjustable conductance, and low power consumption.
- Kesterite-based chalcogenides are emerging as ideal materials for optoelectronic synaptic memristors due to their favorable optoelectronic properties, abundance, and eco-friendliness.
Purpose of the Study:
- To summarize research progress on kesterite-based optoelectronic synaptic memristors.
- To highlight advancements in resistive switching performance, synaptic behavior simulation, and neuromorphic applications.
- To provide guidelines for designing and deploying high-performance neuromorphic devices.
Main Methods:
- Investigating the impact of resistive switching layer thickness and elemental composition.
- Exploring heterojunction, composite structures, and electrode engineering.
- Analyzing the influence of testing environment and operating modes on device performance.
Main Results:
- Optimized resistive switching performance in kesterite-based memristors.
- Successful simulation of synaptic behaviors crucial for neuromorphic computing.
- Demonstrated potential for various neuromorphic applications.
Conclusions:
- Kesterite-based optoelectronic synaptic memristors show significant potential for overcoming current computing bottlenecks.
- Further research and optimization are needed to address current challenges and realize practical deployment.
- This review provides a roadmap for future development in kesterite-based neuromorphic devices.
