Plasmon-enhanced Sb2Te3/FTO heterojunction optoelectronic synapses for image compression encoding and high-accuracy recognition
Abstract
Broadband, energy-efficient optoelectronic synaptic devices are essential for neuromorphic computing systems and embodied intelligent perception. Here, we present a plasmon-enhanced optoelectronic synapse based on an Ag nanoparticle-Sb2Te3/FTO (fluorine-doped tin oxide) heterojunction. The incorporation of Ag and FTO enhances light absorption in Sb2Te3 across a broad spectral range, while the localized surface plasmon resonance effect of the Ag nanoparticles and the p-Sb2Te3/n-FTO heterojunction improves the generation efficiency and subsequent separation and transport of photocarriers, resulting in a significantly enhanced photocurrent response. The device exhibits tunable photo-responsive memristive behavior and multilevel optoelectronic synaptic plasticity even at a low voltage of 1 V. Furthermore, we demonstrate compressed image encoding and recognition using two artificial neural networks, achieving an average accuracy of ∼95%. This work not only provides a strategy for designing high-performance, broadband, low-power optoelectronic synapses but also offers a viable device foundation for image compression encoding and intelligent visual perception.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (10)
Zhiyong Yu
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering
Zhenhua Wu
Wan Xia
School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology 1 , Shanghai 200093,
Yutian Wang
School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology 1 , Shanghai 200093,
Bixuan Huang
School of Mechanical Engineering, Shanghai Jiao Tong University 4 , Shanghai 200240,
Xiaotian Zhang
Junwei Fu
Hunan Joint International Research Center for Carbon Dioxide Resource Utilization, School of Physics
Zengji Yue
School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology 1 , Shanghai 200093,
Min Gu
Boyuan Cai
School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology 1 , Shanghai 200093,