journal article·2022-08-12

Multifunctional Two-Terminal Optoelectronic Synapse Based on Zinc Oxide/Poly(3-hexylthiophene) Heterojunction for Neuromorphic Computing

Pengfei Zhao, Rongxue Ji, Jie Lao, Chunli Jiang, Bobo Tian, Chunhua Luo, Hechun Lin, Hui Peng, Chun-Gang Duan

ACS Applied Polymer Materials· Volume 4· Issue 8
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Abstract

With the advantages of wide bandwidth, low power consumption, high propagation speed, and excellent interconnectivity, the light-tunable synapse is regarded as one of the most promising candidates to pave the way for constructing neuromorphic computing and overcoming the von Neumann bottleneck. Herein, an optoelectronic synaptic memristor based on zinc oxide/poly(3-hexylthiophene) (ZnO/P3HT) heterojunction is fabricated via a simple two-step spin coating process. The prepared device can simulate typical neuromorphic manners, such as excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), the transformation from short-term plasticity (STP) to long-term plasticity (LTP), and “learning-experience” behavior by modulating the applied light pulses. In addition to the optoelectronic synaptic behaviors, our device incorporates light logic functions (“AND” and “OR” operations) and optical information detection and memory functions analogous to those in the human’s visual recognition memory system.
Source: openalex_inverted_index · Quality: baseline

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

Key Laboratory of Polar Materials and Devices (MOE), Department of Electronics, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China

Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China

Funding

National Natural Science Foundation of China · Shanghai Science and Technology Innovation Action Plan

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