journal article·2025-08

Design of All‐Optical Bidirectional Self‐Powered Synaptic Devices for Neuromorphic Computing Applications

Wen Huang, Jiawei Tang, Biao Li, Xin Zhang, Zhengjian Lin, Huixing Zhang, Pengjie Hang, Xuegong Yu, Xing'ao Li, Lei Wang

Small· Volume 21· Issue 34
Publisher page

Abstract

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.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural Networks and Reservoir Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Jiangsu 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

State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China

College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210023 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province

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