Abstract
Perovskites have unique photoelectric characteristics making them promising for use in artificial visual systems, which face the challenges of short-circuiting, high-energy consumption, and lack of in-depth knowledge on working mechanisms and stability. In this study, a novel two-terminal lateral configuration synapse based on perovskite/SnO2 heterojunction is introduced. This synapse exhibits typical synaptic characteristics with ultra-low energy consumption (0.1665 fJ), wide substrate selection, sensitivity to a broad range of wavelengths, and long-term operational stability. Additionally, the synapse potential application is demonstrated by emulating the classical conditioning and learning experience behavior, and neural network simulation. Further, the working mechanism based on photogeneration and trapping of charge carriers is revealed by analyzing the dynamic processes of photo-generated charge carriers, thus establishing a foundation for developing a simple yet efficient photonic synapse for artificial neuron devices. © 2025 Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 111145 |
| Journal | Nano Energy |
| Volume | 142 |
| Issue number | Part A |
| Online published | 14 May 2025 |
| DOIs | |
| Publication status | Published - Sept 2025 |
Funding
This work was supported by City University of Hong Kong (Grant no. 7020038).
Research Keywords
- Perovskite-based photonic synapse
- Two-terminal lateral structure
- Electron trapping
- Low energy consumption
- Artificial neural network