Related Experiment Video
Updated: Sep 17, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Design of All-Optical Bidirectional Self-Powered Synaptic Devices for Neuromorphic Computing Applications
Wen Huang1,2, Jiawei Tang1, Biao Li2
1Jiangsu Provincial Engineering Research Center of Low Dimensional Physics and New Energy & School of Science, Nanjing University of Posts and Telecommunications, No.9 Wenyuan Road, Nanjing, Jiangsu, 210023, China.
Abstract:
Self-powered optoelectronic synaptic devices have garnered significant attention due to their ultra-low energy consumption and self-rectification properties. However, the mechanism of mimicking their inhibitory behaviors remains unclear, presenting a challenge in attempting to realize optically inhibitory behaviors. This study fabricates formamidinium lead iodide perovskite-based synaptic devices that exhibit self-powered-optical potentiation and electrical inhibition behaviors. The mechanism underlying the inhibitory behaviors is argued to be the defect trap at room temperature and iodine ion migration at lower temperatures. Considering the optical potentiation behaviors and inhibitory mechanism clarified here, ethanediamine dihydroiodide is incorporated into the perovskite layer to regulate the synaptic behaviors. Impressively, this additive results in a shift of the self-powered-optical potentiation to its inhibition. First-principles calculations reveal that an increase of iodide vacancy formation energies facilitates this transformation by possibly modulating the carrier trap and ion migration behaviors. Additionally, the optically excitatory and optically inhibitory synaptic behaviors of the integrated systems with and without EDADI are exploited to implement MINIST and CIFAR-10 recognition tasks and achieve the high recognition rates of 97.95% and 77.36%, respectively. This work significantly advances the understanding of mimicking self-powered optically inhibitory synaptic behaviors and contributes to the development of all-optical bidirectional self-powered neuromorphic computing systems.

