Two-Dimensional MXene Synapse for Brain-Inspired Neuromorphic Computing.
Jae Hyeok JuSeunghwan SeoSungpyo BaekDongyoung LeeSeojoo LeeTaeran LeeByeongchan KimJe-Jun LeeJiwan KooHyeongseok ChooSungjoo LeeJin-Hong ParkPublished in: Small (Weinheim an der Bergstrasse, Germany) (2021)
MXenes, an emerging class of two-dimensional (2D) transition metal carbides and nitrides, have attracted wide attention because of their fascinating properties required in functional electronics. Here, an atomic-switch-type artificial synapse fabricated on Ti3 C2 Tx MXene nanosheets with lots of surface functional groups, which successfully mimics the dynamics of biological synapses, is reported. Through in-depth analysis by X-ray photoelectron spectroscopy, transmission electron microscopy, and energy dispersive X-ray spectroscopy, it is found that the synaptic dynamics originated from the gradual formation and annihilation of the conductive metallic filaments on the MXene surface with distributed functional groups. Subsequently, via training and inference tasks using a convolutional neural network for the Canadian-Institute-For-Advanced-Research-10 dataset, the applicability of the artificial MXene synapse to hardware neural networks is demonstrated.
Keyphrases
- electron microscopy
- transition metal
- high resolution
- neural network
- convolutional neural network
- working memory
- deep learning
- single molecule
- quantum dots
- reduced graphene oxide
- computed tomography
- optical coherence tomography
- gold nanoparticles
- multiple sclerosis
- magnetic resonance imaging
- resting state
- white matter
- solid state
- blood brain barrier
- gas chromatography mass spectrometry