A semi-floating gate memory based on van der Waals heterostructures for quasi-non-volatile applications

By Chunsen Liu, Xiao Yan, Xiongfei Song, S. Ding, David-Wei Zhang, P. Zhou. Nature Nanotechnology, 2018

364 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/10321b31e857b72ed5fb9c8a13449ba5fb62733c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Feng Miao
2. Takashi Taniguchi
3. Wenhao Song
4. Zhongrui Wang

In Materials Chemistry

1. Feng Miao
2. Xiaomu Wang
3. Takashi Taniguchi
4. Huafeng Yang
5. Gwan‐Hyoung Lee
6. Kenji Watanabe
7. K. Novoselov
8. P. Jarillo-Herrero

Citations in the corpus

• Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor (2020, background): “The vdW vertical heterostructures formed by stacking different 2D materials accommodate an abundance of electronic and optoelectronic properties (21-32), which may be exploited to mimic hierarchical architecture and functions of retinal neurons (33-43) in a natural manner to implement a neural netwo”
• 2D semiconducting materials for electronic and optoelectronic applications: potential and challenge (2020, background): “) (b) Schematic illustration (left) and input signal (right) of semi-floating gate memory device [131].”