Two‐Dimensional MXene Synapse for Brain‐Inspired Neuromorphic Computing
Jae Hyeok Ju, Seunghwan Seo, Sungpyo Baek, Dongyoung Lee, Seojoo Lee, Seojoo Lee, Taeran Lee, Byeongchan Kim, Je‐Jun Lee, Jiwan Koo, H. Choo, Sungjoo Lee, Sungjoo Lee, Jin‐Hong Park
Abstract
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 Ti 3 C 2 T x 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.