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Promising guanidinium layered perovskite photoelectric synaptic transistors for neuromorphic computing and image recognition.

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Název: Promising guanidinium layered perovskite photoelectric synaptic transistors for neuromorphic computing and image recognition.
Autoři: Meng, Jie, Wang, Wenwen, Zhang, Jiangdong, Liang, Yinchun, Tian, Li, Zhao, Jinjin
Zdroj: Journal of Materials Chemistry C; 11/14/2025, Vol. 13 Issue 42, p21608-21617, 10p
Abstrakt: With the rapid development of bio-inspired hardware and artificial neural networks, synaptic transistors have emerged as core components in neuromorphic computing systems. Two-dimensional halide perovskites exhibit significant potential for use in photoelectric synaptic devices owing to their superior photoelectric response characteristics and structural stability. In this study, we propose a two-dimensional (GA)(MA)5Pb5I16 perovskite-based photoelectric synaptic transistor. The device exhibits basic synaptic functions under different light conditions, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), short-term plasticity (STP), and long-term plasticity (LTP), demonstrating inherent learning ability. In addition, it accurately recognizes letters in a 5 × 5 synaptic array and maintains a memory time of over 150 s under a light intensity of 60 mW cm−2. Finally, using the unique characteristics of photonic potentiation and electric depression, a multi-layer convolutional neural network is constructed to recognize stained blood cell images with an accuracy of 91.55%. This study provides valuable insights for developing neuromorphic systems and advancing artificial intelligence based on two-dimensional perovskite photoelectric synaptic transistors. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:With the rapid development of bio-inspired hardware and artificial neural networks, synaptic transistors have emerged as core components in neuromorphic computing systems. Two-dimensional halide perovskites exhibit significant potential for use in photoelectric synaptic devices owing to their superior photoelectric response characteristics and structural stability. In this study, we propose a two-dimensional (GA)(MA)<subscript>5</subscript>Pb<subscript>5</subscript>I<subscript>16</subscript> perovskite-based photoelectric synaptic transistor. The device exhibits basic synaptic functions under different light conditions, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), short-term plasticity (STP), and long-term plasticity (LTP), demonstrating inherent learning ability. In addition, it accurately recognizes letters in a 5 × 5 synaptic array and maintains a memory time of over 150 s under a light intensity of 60 mW cm<sup>−2</sup>. Finally, using the unique characteristics of photonic potentiation and electric depression, a multi-layer convolutional neural network is constructed to recognize stained blood cell images with an accuracy of 91.55%. This study provides valuable insights for developing neuromorphic systems and advancing artificial intelligence based on two-dimensional perovskite photoelectric synaptic transistors. [ABSTRACT FROM AUTHOR]
ISSN:20507526
DOI:10.1039/d5tc02633d