Reconfigurable optoelectronic neuromorphic properties of MoS2-based memristors decorated with Pt nanoparticles for low power spiking neural network applications

Reconfigurable optoelectronic neuromorphic properties of MoS2-based memristors decorated with Pt nanoparticles for low power spiking neural network applications

The intriguing properties of two-dimensional (2D) materials render them attractive for energy efficient neuromorphic computations because their atomic scale thickness can alleviate the power requirements of the device. In parallel, their layered structure can be leveraged to optically program the de...

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Bibliographic Details
Main Authors: Chrysi Panagopoulou, Panagiotis Bousoulas, Georgia Iliani Papouli, Maria Kainourgiaki, Charalampos Tsioustas, Maria Karnachoriti, Athanassios G Kontos, Dimitris Tsoukalas
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
Optoelectronic properties
memristors
charge trapping
nanoparticles
neuron
synapse
Online Access:https://doi.org/10.1088/2634-4386/add36d
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