Layer‐dependent resistance variability assessment on 2048 8‐layer 3D vertical RRAMs
Author:
Affiliation:
1. Science and Technology on Reliability Physics and Application of Electronic Component LaboratoryThe No.5 Electronics Research Institute of the Ministry of Industry and Information TechnologyGuangzhou510610GuangdongPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2019.1556
Reference7 articles.
1. A review of emerging non-volatile memory (NVM) technologies and applications
2. Impact of RTN on pattern recognition accuracy of RRAM‐based synaptic neural network;Chai Z.;Electron Device Lett.,2018
3. Reconfigurable physical unclonable function based on probabilistic switching of RRAM
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