Threshold Switching Selectors: A Threshold Switching Selector Based on Highly Ordered Ag Nanodots for X‐Point Memory Applications (Adv. Sci. 10/2019)
Qilin Hua(Beijing Institute of Technology), He Qian(University of Science and Technology of China), Huaqiang Wu(Beijing Advanced Sciences and Innovation Center), Meiran Zhao(Institute of Microelectronics), Bin Gao(Chinese Academy of Sciences), Xianghui Hou(Northwestern Polytechnical University), Xinyi Li(Institute of Microelectronics), Yujia Li(Institute of Microelectronics), Peng Zhou(Shenyang Jianzhu University), Meng‐Fan Chang(Taiwan Semiconductor Manufacturing Company (Taiwan))
Cited by 7
Related Papers
Fully hardware-implemented memristor convolutional neural network
|Nature|2020|2.2k
Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing
|Nature Communications|2018|1.4k
Face classification using electronic synapses
|Nature Communications|2017|909
Neuro-inspired computing chips
|Nature Electronics|2020|886
A compute-in-memory chip based on resistive random-access memory
|Nature|2022|882