Characterizing Endurance Degradation of Incremental Switching in Analog RRAM for Neuromorphic Systems
Meiran Zhao(Institute of Microelectronics), He Qian(University of Science and Technology of China), Huaqiang Wu(Beijing Advanced Sciences and Innovation Center), Kanwen Wang(Huawei Technologies (United States)), Shimeng Yu(Georgia Institute of Technology), Xiaoyu Sun(Georgia Institute of Technology), Yue Xi(Tsinghua University), Qingtian Zhang(Tsinghua University), Peng Yao(Tsinghua University), Bin Gao(Chinese Academy of Sciences), Yuyi Liu(Hainan University), Xinyi Li(Institute of Microelectronics)
Cited by 70
Related Papers
Fully hardware-implemented memristor convolutional neural network
|Nature|2020|2.2k
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