A True Random Number Generator Using Threshold-Switching-Based Memristors in an Efficient Circuit Design
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A True Random Number Generator Using Threshold-Switching-Based Memristors in an Efficient Circuit Design
Authors
Keywords
-
Journal
Advanced Electronic Materials
Volume -, Issue -, Pages 1800543
Publisher
Wiley
Online
2018-11-29
DOI
10.1002/aelm.201800543
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving Unipolar Resistive Switching Uniformity with Cone-Shaped Conducting Filaments and Its Logic-In-Memory Application
- (2018) Shuang Gao et al. ACS Applied Materials & Interfaces
- Nociceptive Memristor
- (2018) Yumin Kim et al. ADVANCED MATERIALS
- CMOS compatible low-power volatile atomic switch for steep-slope FET devices
- (2018) Seokjae Lim et al. APPLIED PHYSICS LETTERS
- An artificial nociceptor based on a diffusive memristor
- (2018) Jung Ho Yoon et al. Nature Communications
- Nanoscale diffusive memristor crossbars as physical unclonable functions
- (2018) R. Zhang et al. Nanoscale
- High-speed true random number generation based on paired memristors for security electronics
- (2017) Teng Zhang et al. NANOTECHNOLOGY
- A novel true random number generator based on a stochastic diffusive memristor
- (2017) Hao Jiang et al. Nature Communications
- Reconfigurable Nonvolatile Logic Operations in Resistance Switching Crossbar Array for Large-Scale Circuits
- (2016) Peng Huang et al. ADVANCED MATERIALS
- Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices
- (2016) Simone Balatti et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Pt/Ta2O5/HfO2−x/Ti Resistive Switching Memory Competing with Multilevel NAND Flash
- (2015) Jung Ho Yoon et al. ADVANCED MATERIALS
- Training and operation of an integrated neuromorphic network based on metal-oxide memristors
- (2015) M. Prezioso et al. NATURE
- True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices
- (2015) Simone Balatti et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Highly Uniform, Electroforming-Free, and Self-Rectifying Resistive Memory in the Pt/Ta2O5/HfO2-x/TiN Structure
- (2014) Jung Ho Yoon et al. ADVANCED FUNCTIONAL MATERIALS
- Total ionizing dose effect of γ-ray radiation on the switching characteristics and filament stability of HfOx resistive random access memory
- (2014) Runchen Fang et al. APPLIED PHYSICS LETTERS
- The Importance of Entropy to Information Security
- (2014) Apostol Vassilev et al. COMPUTER
- Stochastic memristive devices for computing and neuromorphic applications
- (2013) Siddharth Gaba et al. Nanoscale
- A Contact-Resistive Random-Access-Memory-Based True Random Number Generator
- (2012) Chien-Yuan Huang et al. IEEE ELECTRON DEVICE LETTERS
- Memristive devices for computing
- (2012) J. Joshua Yang et al. Nature Nanotechnology
- A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications
- (2011) Kuk-Hwan Kim et al. NANO LETTERS
- A detailed understanding of the electronic bipolar resistance switching behavior in Pt/TiO2/Pt structure
- (2011) Kyung Min Kim et al. NANOTECHNOLOGY
- Resistance switching in HfO2 metal-insulator-metal devices
- (2010) P. Gonon et al. JOURNAL OF APPLIED PHYSICS
- Electrically configurable electroforming and bipolar resistive switching in Pt/TiO2/Pt structures
- (2010) Kyung Min Kim et al. NANOTECHNOLOGY
- ‘Memristive’ switches enable ‘stateful’ logic operations via material implication
- (2010) Julien Borghetti et al. NATURE
- Redox-Based Resistive Switching Memories - Nanoionic Mechanisms, Prospects, and Challenges
- (2009) Rainer Waser et al. ADVANCED MATERIALS
- The missing memristor found
- (2008) Dmitri B. Strukov et al. NATURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now