Demonstration of a 2-D SnS/MXene Nanohybrid Asymmetric Memristor

Saha, Soumi; Adepu, Vivek; Gohel, Khush; Sahatiya, Parikshit; Dan, Surya Shankar

doi:10.1109/ted.2022.3199710

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…sulfides) have also been incorporated with MXenes to construct memristor devices. For instance, a SnS/MXene mixed hybrid was taken to fabricate asymmetric memristors with the advantages of costeffectiveness, high energy-efficiency, and simple processing [134]. The SnS/MXene memristors were assembled by sandwiching the SnS/Ti 3 C 2 T x active layer with Cu electrodes.…”

Section: Mxene/sns-based Memristorsmentioning

confidence: 99%

Preparation of MXene-based hybrids and their application in neuromorphic devices

Xiao,

Kong

et al. 2024

Int. J. Extrem. Manuf.

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The traditional von Neumann computing architecture has relatively-low information processing speed and high power consumption, being difficult to meet the computing needs of artificial intelligence (AI). Neuromorphic computing systems, with massively parallel computing capability and low-power consumption, have been considered as an ideal option for data storage and AI computing in the future. Memristor as the fourth basic electronic component besides resistance, capacitance and inductance, could be the most competitive candidate for neuromorphic computing systems benefiting from the simple structure, continuously adjustable conductivity state, ultra-low power consumption, high switching speed and compatibility with existing CMOS technology. The memristor devices with applying MXene-based hybrids have attracted significant attention in recent years. Here, we introduce the latest progress in the synthesis of MXene-based hybrids and summarize the potential applications of MXene-based hybrids in memristor devices and neuromorphological intelligence. We explore the development trend of memristor constructed by combining MXenes with other functional materials and emphatically discuss the potential mechanism of MXenes-based memristor devices. Finally, the future prospects and directions of MXene-based memristors are briefly described.

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Section: Mxene/sns-based Memristorsmentioning

confidence: 99%

Preparation of MXene-based hybrids and their application in neuromorphic devices

Xiao,

Kong

et al. 2024

Int. J. Extrem. Manuf.

View full text Add to dashboard Cite

show abstract

“…10,12,49 Furthermore, van der Waals (vdW) heterojunctions synthesized by stacking two or more 2D layered materials (2DLMs) not only retain the properties of the individual 2D materials, but also exhibit more intriguing properties than the respective counterparts. 43 Recently, several 2DLMs and their heterostructures have been successfully utilized in memristive devices, for instance, graphene, 50 layered metal chalcogenides, 51,52 MXenes, 53 and various other 2D materials. 54 Wang et al 55 have discussed in detail the huge potential of 2DLMs in the development of low power and multifunctional neuromorphic devices, with respect to advancements in the device, chip and circuit levels.…”

Section: Introductionmentioning

confidence: 99%