A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

Nano Letters ◽  
2011 ◽  
Vol 12 (1) ◽  
pp. 389-395 ◽  
Author(s):  
Kuk-Hwan Kim ◽  
Siddharth Gaba ◽  
Dana Wheeler ◽  
Jose M. Cruz-Albrecht ◽  
Tahir Hussain ◽  
...  
Keyword(s):  
Data Storage ◽  
Crossbar Array ◽  
Memristor Crossbar

Wafer‐Scale 2D Hafnium Diselenide Based Memristor Crossbar Array for Energy‐Efficient Neural Network Hardware

2021 ◽  
pp. 2103376 ◽  
Author(s):  
Sifan Li ◽  
Mei‐Er Pam ◽  
Yesheng Li ◽  
Li Chen ◽  
Yu‐Chieh Chien ◽  
...  
Keyword(s):  
Neural Network ◽  
Energy Efficient ◽  
Wafer Scale ◽  
Crossbar Array ◽  
Neural Network Hardware ◽  
Memristor Crossbar

A memristor crossbar array of titanium oxide for non-volatile memory and neuromorphic applications

2017 ◽  
Vol 32 (6) ◽  
pp. 065014 ◽  
Author(s):  
Haider Abbas ◽  
Yawar Abbas ◽  
Son Ngoc Truong ◽  
Kyeong-Sik Min ◽  
Mi Ra Park ◽  
...  
Keyword(s):  
Titanium Oxide ◽  
Crossbar Array ◽  
Non Volatile Memory ◽  
Volatile Memory ◽  
Memristor Crossbar

Achieving Complementary Resistive Switching and Multi-bit Storage Goals by Modulating Dual-ion Reaction through Supercritical Fluid-assisted Ammoniation

Nanoscale ◽  
2021 ◽  
Author(s):  
Lei Li ◽  
Tianjiao Dai ◽  
Kuan-Chang Chang ◽  
Rui Zhang ◽  
Xinnan Lin ◽  
...  
Keyword(s):  
Supercritical Fluid ◽  
Resistive Switching ◽  
Neuromorphic Computing ◽  
Crossbar Array ◽  
Memristor Crossbar

Complementary resistive switching (CRS) is a core requirement in memristor crossbar array construction for neuromorphic computing in view of its capability to avoid sneak path current. However, previous approaches to...

Nano-Crossbar Weighted Memristor-Based Convolution Neural Network Architecture for High-Performance Artificial Intelligence Applications

2021 ◽  
Vol 21 (3) ◽  
pp. 1833-1844
Author(s):  
Kyojin Kim ◽  
Kamran Eshraghian ◽  
Hyunsoo Kang ◽  
Kyoungrok Cho
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
High Performance ◽  
Detection Algorithm ◽  
Cross Point ◽  
Crossbar Array ◽  
Array Architecture ◽  
Keyword Detection ◽  
Memristor Crossbar

Nano memristor crossbar arrays, which can represent analog signals with smaller silicon areas, are popularly used to describe the node weights of the neural networks. The crossbar arrays provide high computational efficiency, as they can perform additions and multiplications at the same time at a cross-point. In this study, we propose a new approach for the memristor crossbar array architecture consisting of multi-weight nano memristors on each cross-point. As the proposed architecture can represent multiple integer-valued weights, it can enhance the precision of the weight coefficients in comparison with the existing memristor-based neural networks. This study presents a Radix-11 nano memristor crossbar array with weighted memristors; it validates the operations of the circuits, which use the arrays through circuit-level simulation. With the proposed Radix-11 approach, it is possible to represent eleven integer-valued weights. In addition, this study presents a neural network designed using the proposed Radix-11 weights, as an example of high-performance AI applications. The neural network implements a speech-keyword detection algorithm, and it was designed on a TensorFlow platform. The implemented keyword detection algorithm can recognize 35 Korean words with an inferencing accuracy of 95.45%, reducing the inferencing accuracy only by 2% when compared to the 97.53% accuracy of the real-valued weight case.

scholarly journals A spintronic memristor crossbar array for fuzzy control with application in the water valves control system

2019 ◽  
Vol 52 (5-6) ◽  
pp. 418-431 ◽  
Author(s):  
Liu Jun ◽  
Xie Shouyong ◽  
Chen Chong ◽  
Xie Dan ◽  
Yang Mingjin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
The Real ◽  
Crossbar Array ◽  
Time Control ◽  
Memristor Crossbar

Fuzzy control, an intelligent control method, is generally employed to deal with complex nonlinear controlled objects that cannot be expressed by accurate mathematical model. Memristor, whose unique advantages are automatic successive memory and nonvolatility, brought new opportunity for solving the key question of fuzzy control. With the design idea of software harden, this paper first constructed membership function in the fuzzy controller based on the unique feature of crossbar array of the spintronic memristor and elaborated the whole construction process. After that, this paper simulated the construction process with MATLAB simulation software, verifying its reasonability and feasibility. Furthermore, a typical fuzzy control water tank system was chosen to explore and discuss the flexibility of spintronic memristor crossbar array in the real-time control system, and the proposed control strategy and the typical fuzzy control strategy were compared. The results revealed that the proposed control strategy was able to attain the effectiveness of the typical fuzzy control system in the real-time control system. This sets light to future research on the implementation of memristor crossbar array in the real-time control system and also promotes the application of fuzzy controller design idea. The problems needed to be solved when implementing memristor crossbar array in the real-time control system were discussed in the final section.

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