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Cited 76 time in webofscience Cited 76 time in scopus
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Surface Modification of a Titanium Carbide MXene Memristor to Enhance Memory Window and Low-Power Operation

Authors
Mullani, N.B.Kumbhar, D.D.Lee, D.-H.Kwon, M.J.Cho, S.-Y.Oh, N.Kim, E.-T.Dongale, T.D.Nam, S.Y.Park, J.H.
Issue Date
Jun-2023
Publisher
John Wiley and Sons Inc
Keywords
artificial synapses; memory window engineering; MXenes; resistive switchings; spike-timing-dependent plasticity
Citation
Advanced Functional Materials, v.33, no.26
Indexed
SCIE
SCOPUS
Journal Title
Advanced Functional Materials
Volume
33
Number
26
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/30842
DOI
10.1002/adfm.202300343
ISSN
1616-301X
1616-3028
Abstract
With the demand for low-power-operating artificial intelligence systems, bio-inspired memristor devices exhibit potential in terms of high-density memory functions and the emulation of the synaptic dynamics of the human brain. The 2D material MXene attracts considerable interest for use in resistive-switching memory and artificial synapse devices owing to its excellent physicochemical properties in memristor devices. However, few memristive and synaptic MXene devices that display increased switching performances are reported, with no significant results. Herein, the conductivity of MXene (Ti3C2Tx) is engineered via etching and oxidation to enhance the switching performance of the device. The exceptional properties of partially oxidized MXene memristors include large memory windows and low threshold biases, and the complex spike-timing-dependent plasticity synaptic rules are also emulated. The low threshold potential distribution, reliable retention time (104 s), and distinct resistance states with a high ON–OFF ratio (>104) are the main memory-related features of this device. The experimentally determined switching potentials of the optimized device are also uniformly distributed, according to a statistical probability-based approach. This investigation may promote the essential material properties for use in high-density non-volatile memory storage and artificial synapse systems in the field of innovative nanoelectronic devices. © 2023 Wiley-VCH GmbH.
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