Two-dimensional layered materials for memristive and neuromorphic applications
Chen-Yu Wang, Cong Wang, Fanhao Meng, Pengfei Wang, Shuang Wang,, Shi-Jun Liang, Feng Miao

TL;DR
This paper reviews recent advances in using two-dimensional layered materials to develop memristive devices, addressing challenges of traditional materials and enabling more complex neuromorphic computing applications.
Contribution
It provides a comprehensive overview of how 2D layered materials improve memristive device performance and discusses future opportunities in neuromorphic computing.
Findings
2D materials reduce power consumption in memristive devices.
Enhanced device reliability and integration density achieved with 2D materials.
Potential for novel neuromorphic functionalities using van der Waals heterostructures.
Abstract
With many fantastic properties, memristive devices have been proposed as top candidate for next-generation memory and neuromorphic computing chips. Significant research progresses have been made in improving performance of individual memristive devices and in demonstrating functional applications based on small-scale memristive crossbar arrays. However, practical deployment of large-scale traditional metal oxides based memristive crossbar array has been challenging due to several issues, such as high-power consumption, poor device reliability, low integration density and so on. To solve these issues, new materials that possess superior properties are required. Two-dimensional (2D) layered materials exhibit many unique physical properties and show great promise in solving these challenges, further providing new opportunities to implement practical applications in neuromorphic computing.…
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