# Two-dimensional layered materials for memristive and neuromorphic applications

**Authors:** Chen-Yu Wang, Cong Wang, Fanhao Meng, Pengfei Wang, Shuang Wang, Shi-Jun Liang, Feng Miao  
**arXiv:** [1912.09667](https://arxiv.org/abs/1912.09667)  
**Date:** 2019-12-20  
**Summary page:** https://www.summarizepaper.com/en/paper/1912.09667v1/

## Key points

- Authors Wang, Wang, Meng, Wang, Wang, Liang, and Miao discuss the potential of 2D layered materials in revolutionizing next-generation memory and neuromorphic computing chips.
- Significant progress has been made in enhancing the performance of individual memristive devices and demonstrating functional applications with small-scale memristive crossbar arrays.
- Challenges remain in deploying large-scale traditional metal oxides based memristive crossbar arrays due to issues such as high-power consumption, poor device reliability, and low integration density.
- The authors propose the use of 2D layered materials with unique physical properties to overcome existing limitations and offer new opportunities for implementing practical applications in neuromorphic computing.
- Recent research progress on utilizing 2D layered materials for memristive device applications is reviewed, highlighting how they can solve issues associated with conventional memristive devices while enabling more complex functionalities in neuromorphic computing.
- An outlook is provided on leveraging the unique properties of 2D layered materials and van der Waals heterostructures to develop new types of memristive devices and artificial neural microcircuits.
- Researchers aim to address current challenges in memristive technology and pave the way for innovative advancements in neuromorphic computing through exploring the potential of 2D layered materials.

## Summary

In their paper titled "Two-dimensional layered materials for memristive and neuromorphic applications," authors Chen-Yu Wang, Cong Wang, Fanhao Meng, Pengfei Wang, Shuang Wang, Shi-Jun Liang, and Feng Miao discuss the potential of 2D layered materials in revolutionizing next-generation memory and neuromorphic computing chips. Significant progress has been made in enhancing the performance of individual memristive devices and demonstrating functional applications with small-scale memristive crossbar arrays. However, challenges remain in deploying large-scale traditional metal oxides based memristive crossbar arrays due to issues such as high-power consumption, poor device reliability, and low integration density. To address these challenges, the authors propose the use of 2D layered materials with unique physical properties that show promise in overcoming existing limitations. These materials offer new opportunities for implementing practical applications in neuromorphic computing. The paper reviews recent research progress on utilizing 2D layered materials for memristive device applications and discusses how they can solve issues associated with conventional memristive devices while enabling more complex functionalities in neuromorphic computing. Furthermore, the authors provide an outlook on leveraging the unique properties of 2D layered materials and van der Waals heterostructures to develop new types of memristive devices and artificial neural microcircuits. Through exploring the potential of 2D layered materials, researchers aim to address current challenges in memristive technology and pave the way for innovative advancements in neuromorphic computing. The comprehensive review presented by Wang et al. sheds light on the promising future of these materials in shaping the landscape of memory and computing technologies.
