Memristor-based memory: The sneak paths problem and solutions
By Mohammed Affan Zidan, Hossam Ali Hassan Fahmy, Muhammad Mustafa Hussain, Khaled Nabil Salama. Microelectronics Journal, 2013
424 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3c0e3661e1cc8135903dcf9c6362377d55dc4cd8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Shahar Kvatinsky
- Avinoam Kolodny
- Guy Satat
- Nimrod Wald
- Eby G. Friedman
- Uri C. Weiser
- Saransh Gupta
- Pravin S. Mane
In Electrical and Electronic Engineering
- Shahar Kvatinsky
- Avinoam Kolodny
- Guy Satat
- Nimrod Wald
- Uri C. Weiser
- Eby G. Friedman
- Saransh Gupta
- Pravin S. Mane
Citations in the corpus
- Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies (2014, background): “This memory structure is more than 20 times denser than DRAM [34].”
- Logic Design Within Memristive Memories Using Memristor-Aided loGIC (MAGIC) (2016, background): “This sneak path current [43]–[46] does not change the state of any memristor since the isolation voltage is lower than threshold voltage.”