Results 31 to 40 of about 11,144 (308)

Phenomenological Modeling on the Nonideal Factors of Memristor Based on Single-Crystalline LiNbO₃ Thin Film

IEEE Journal of the Electron Devices Society
As a novel device, memristors attracted great attention because of its potential in neural network computing. However, the nonideal factors of memristors, such as conductance drift and programming errors, limit their performance in practical applications.
Yi Wang, Xinqiang Pan, Qin Xie, Junde Tong, Yao Shuai, Wenbo Luo, Chuangui Wu, Wanli Zhang   +7 more
doaj   +1 more source

Configurable activation function realized by non-linear memristor for neural network

AIP Advances, 2020
The activation function is a crucial part for memristive neural networks. For the first time, we propose a memristor-based activation function by using the natural non-linear characteristics of the memristor itself. Compared to the virtual ground circuit
Kun Li, Yi Sun, Wei Wang, Xi Zhu, Bing Song, Rongrong Cao, Sen Liu, Qingjiang Li   +7 more
doaj   +1 more source

Fractional memristor [PDF]

, 2017
Based on the differential conformal transformation in the fractional order, we defined the fractional memristor in contrast to the traditional (integer-order) memristor.
Wang, Frank Z., Frank Z. Wang, Leon O. Chua, Helian, Na, Na Helian, Huaqiang Wu, Wang, Frank Zhigang, Chua, Leon O, Luping Shi, Shi, Luping, Wu, Huaqiang   +10 more
core   +1 more source

Graphene oxide based memristor [PDF]

, 2018
The authors acknowledge the financial support from DOD Grant (AFOSR‐FA9550‐16‐1‐0295) and IFN‐NSF Grant (EPS‐01002410) for travel support.A memristor is the memory extension to the concept of resistor.
Katiyar, Ram S., James F. Scott, Ram S. Katiyar, Scott, James Floyd, Nitu Kumar, Khurana, Geetika, Geetika Khurana, Kumar, Nitu   +7 more
core   +1 more source

Fully Integrated Memristor and Its Application on the Scroll-Controllable Hyperchaotic System

Complexity, 2019
In this paper, a fully integrated memristor emulator using operational amplifiers (OAs) and analog multipliers is simulated. Based on the fully integrated memristor, a scroll-controllable hyperchaotic system is presented.
Jie Jin, Li Cui
doaj   +1 more source

Memristive Devices and Systems: Modelling, Properties & Applications

, 2023
This reprint presents the Special Issue on “Memristive Devices and Systems: Modeling, Properties, and Applications”. The Special Issue provides a comprehensive overview of key computational primitives enabled by these memory devices, as well as their ...

core   +1 more source

Implementation of Highly Stable Memristive Characteristics in an Organic–Inorganic Hybrid Resistive Switching Layer of Chitosan-Titanium Oxide with Microwave-Assisted Oxidation

Molecules, 2023
This study proposes a high-performance organic–inorganic hybrid memristor for the development of neuromorphic devices in the memristor-based artificial synapse.
Dong-Hee Lee, Hamin Park, Won-Ju Cho
doaj   +1 more source

Electrical Nonlinearity Emulation Technique for Current-Controlled Memristive Devices

IEEE Access, 2017
Emerging memristor technology is recently drawing widespread attention due to its potential for diverse applications. Due to the lack of real solid-state memristive devices, there have been many initiatives to develop memristor emulators to study their ...
Abdullah G. Alharbi, Mohammed E. Fouda, Zainulabideen J. Khalifa, Masud H. Chowdhury   +3 more
doaj   +1 more source

Coexisting Firing Patterns in an Improved Memristive Hindmarsh–Rose Neuron Model with Multi-Frequency Alternating Current Injection

Micromachines, 2023
With the development of memristor theory, the application of memristor in the field of the nervous system has achieved remarkable results and has bright development prospects.
Mengjiao Wang, Jie Ding, Bingqing Deng, Shaobo He, Herbert Ho-Ching Iu   +4 more
doaj   +1 more source

A Compact Memristor Model Based on Physics-Informed Neural Networks

Micromachines
Memristor devices have diverse physical models depending on their structure. In addition, the physical properties of memristors are described using complex differential equations.
Younghyun Lee, Kyeongmin Kim, Jonghwan Lee   +2 more
doaj   +1 more source