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

Published in:	Neuromorphic Computing and Engineering
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
Subjects:	Optoelectronic properties memristors charge trapping nanoparticles neuron synapse
Online Access:	https://doi.org/10.1088/2634-4386/add36d