Journal
ACS NANO
Volume 15, Issue 1, Pages 1497-1508Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.0c08921
Keywords
fully light-modulated synapses; graphdiyne; flexible artificial neural networks; neuromorphic computing; sensing memory processing; optical logic functions
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Funding
- National Natural Science Foundation of China [21790052, 51802220]
- Natural Science Foundation of Tianjin City [19JCYBJC17300]
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Optoelectronic synapses combining synaptic and optical-sensing functions have advantages in neuromorphic computing for visual information processing and learning. A novel optical synapse based on a pyrenyl graphdiyne/graphene/PbS quantum dot heterostructure shows linear and symmetric conductance updates with multiple states, allowing accurate pattern recognition. This optical synapse demonstrates strong fault tolerance and is suitable for wearable electronics applications.
Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large advantages in neuromorphic computing for visual information processing and complex learning, recognition, and memory in an energy-efficient way. However, electric stimulation is still essential for existing optoelectronic synapses to realize bidirectional weight-updating, restricting the processing speed, bandwidth, and integration density of the devices. Herein, a two-terminal optical synapse based on a wafer-scale pyrenyl graphdiyne/graphene/PbS quantum dot heterostructure is proposed that can emulate both the excitatory and inhibitory synaptic behaviors in an optical pathway. The simple device architecture and low-dimensional features of the heterostructure endow the optical synapse with robust flexibility for wearable electronics. This optical synapse features a linear and symmetric conductance-update trajectory with numerous conductance states and low noise, which facilitates the demonstration of accurate and effective pattern recognition with a strong fault-tolerant capability even at bending states. A series of logic functions and associative learning capabilities have been demonstrated by the optical synapses in optical pathways, significantly enhancing the information processing capability for neuromorphic computing. Moreover, an integrated visible information sensing memory processing system based on the optical synapse array is constructed to perform real-time detection, in situ image memorization, and distinction tasks. This work is an important step toward the development of optogenetics-inspired neuromorphic computing and adaptive parallel processing networks for wearable electronics.
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