| Literature DB >> 34272918 |
Jae Hyeok Ju1, Seunghwan Seo2, Sungpyo Baek1, Dongyoung Lee2, Seojoo Lee1,2, Taeran Lee3, Byeongchan Kim2, Je-Jun Lee2, Jiwan Koo2, Hyeongseok Choo2, Sungjoo Lee4, Jin-Hong Park1,2.
Abstract
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.Entities:
Keywords: artificial synapse; brain-inspired neuromorphic computing; convolutional neural network; two-dimensional MXene
Year: 2021 PMID: 34272918 DOI: 10.1002/smll.202102595
Source DB: PubMed Journal: Small ISSN: 1613-6810 Impact factor: 13.281