Electrochemically Exfoliated Amorphous TaIrTe <sub>4</sub> Nanosheets for Bidirectional Optical Neuromorphic Devices

, enabling sensitive electrical readout. Upon optical stimulation, the devices generate self-powered, persistent photocurrents. Wavelength-selective excitation between 405 nm and 638 nm produces reversible conductance potentiation and depression, realizing fully optical and bidirectional synaptic plasticity with ultralow energy consumption (< 5.65 pJ per pulse). Neuromorphic network simulations incorporating the experimentally extracted dynamics achieve 92.1% on the MNIST dataset. These results demonstrate a scalable platform for producing amorphous vdW nanosheets and show that crystalline-to-amorphous conversion enables light-programmable signal processing and energy-efficient intelligent hardware.

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Publication Details

Journal
Small
Published
2026-05-08
DOI
https://doi.org/10.1002/smll.73719
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Electrochemically Exfoliated Amorphous TaIrTe 4 Nanosheets for Bidirectional Optical Neuromorphic Devices

Y Li, Yanqiu Xue, Yi Liu, J Q Xu et al.
Small
Advanced Memory and Neural Computing
article

Electrochemically Exfoliated Amorphous TaIrTe 4 Nanosheets for Bidirectional Optical Neuromorphic Devices

Y Li, Yanqiu Xue, Yi Liu, J Q Xu, Wuqing Fang, Jianxian He, Zice Zhao, Haoran Mu, Shenghuang Lin, Haibin Li, Jian Yuan, Ming Xiao, Tongsheng Chen, Guangyu Zhang
article en

Abstract

, enabling sensitive electrical readout. Upon optical stimulation, the devices generate self-powered, persistent photocurrents. Wavelength-selective excitation between 405 nm and 638 nm produces reversible conductance potentiation and depression, realizing fully optical and bidirectional synaptic plasticity with ultralow energy consumption (< 5.65 pJ per pulse). Neuromorphic network simulations incorporating the experimentally extracted dynamics achieve 92.1% on the MNIST dataset. These results demonstrate a scalable platform for producing amorphous vdW nanosheets and show that crystalline-to-amorphous conversion enables light-programmable signal processing and energy-efficient intelligent hardware.

Small
Sun Yat-sen University (CN), Huaibei Normal University (CN), South China Normal University (CN), Wuhan University of Technology (CN), Dongguan University of Technology (CN), Songshan Lake Materials Laboratory (CN)
National Natural Science Foundation of China, State Key Laboratory of Advanced Technology for Materials Synthesis and Processing
Affordable and clean energy
Openalex Percentile: Top 8%
Advanced Memory and Neural Computing
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