Surface Modification of a Titanium Carbide MXene Memristor to Enhance Memory Window and Low‐Power Operation

• Published in: Advanced functional materials Vol. 33; no. 26
• Main Authors: Mullani, Navaj B., Kumbhar, Dhananjay D., Lee, Do‐Hyeon, Kwon, Mi Ji, Cho, Su‐yeon, Oh, Nuri, Kim, Eui‐Tae, Dongale, Tukaram D., Nam, Sang Yong, Park, Jun Hong
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.06.2023
• Subjects: Artificial intelligence; artificial synapses; Density; Display devices; Material properties; Materials science; Memory devices; memory window engineering; Memristors; MXenes; Nanoelectronics; Nanotechnology devices; Oxidation; resistive switchings; spike‐timing‐dependent plasticity; Statistical analysis; Switching; Titanium carbide; Two dimensional materials
• ISSN: 1616-301X; 1616-3028
• DOI: 10.1002/adfm.202300343

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. Exquisite improvements are witnessed for MXene memristors. Conventional memory cells confront the demands of future data‐intensive computing applications. This sortation has led the research on constructing the memristors with novel 2D functional materials for advanced applications of next‐generation memory technology. MXene for high‐density computing and synapse functionality at low power (among all Ti3C2) with edge detection applicability are manifested.