1. Ultra-Low Power Consumption Artificial Photoelectric Synapses Based on Lewis Acid Doped WSe 2 for Neuromorphic Computing.
- Author
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Ma M, Huang C, Yang M, He D, Pei Y, Kang Y, Li W, Lei C, and Xiao X
- Abstract
Capitalizing on the extensive spectral capacity and minimal crosstalk properties inherent in optical signals, photoelectric synapses are poised to assume a pivotal stance in the realm of neuromorphic computation. Herein, a photoelectric synapse based on Lewis acid-doped semiconducting tungsten diselenide (WSe
2 ) is introduced, exhibiting tunable short-term and long-term plasticity. The device consumes a mere 0.1 fJ per synaptic operation, which is lower than the energy required by a single synaptic event observed in the human brain. Furthermore, these devices demonstrate high-pass filtering capabilities, highlighting their potential in image-sharpening applications. In particular, by synergistically modulating the photoconductivity and electrical gate bias, versatile logic capabilities are demonstrated within a single device, enabling it to flexibly perform both Boolean AND and OR gate operations. This work demonstrates a viable approach for Lewis acid-treated TMDs to realize multifunctional photoelectric synapses for neuromorphic computing., (© 2024 Wiley‐VCH GmbH.)- Published
- 2024
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