Results 41 to 50 of about 36,882 (315)

Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing

Nature Communications, 2022
Neuromorphic computing, a computing paradigm inspired by the human brain, enables energy-efficient and fast artificial neural networks. To process information, neuromorphic computing directly mimics the operation of biological neurons in a human brain ...
See‐On Park, Hakcheon Jeong, Jongyong Park, Jongmin Bae, Shinhyun Choi   +4 more
semanticscholar   +1 more source

The Short-term Memory (D.C. Response) of the Memristor Demonstrates the Causes of the Memristor Frequency Effect

, 2014
A memristor is often identified by showing its distinctive pinched hysteresis curve and testing for the effect of frequency. The hysteresis size should relate to frequency and shrink to zero as the frequency approaches infinity.
Adamatzky, Andrew, Costello, Ben de Lacy, Erokhin, Victor, Gale, Ella   +3 more
core   +1 more source

Radiative Thermal Memristor [PDF]

Physical Review Letters, 2019
Based on the thermal hysteresis of a phase change material exchanging radiative heat with a phase invariable one, we propose a radiative thermal memristor characterized by a Lissajous curve between their exchanged heat flux and temperature difference periodically modulated in time.
Ordonez-Miranda, Jose, Ezzahri, Younes, Tiburcio-Moreno, Jose, Joulain, Karl, Drevillon, Jérémie   +4 more
openaire   +3 more sources

Linearized Programming of Memristors for Artificial Neuro-Sensor Signal Processing

Sensors, 2016
A linearized programming method of memristor-based neural weights is proposed. Memristor is known as an ideal element to implement a neural synapse due to its embedded functions of analog memory and analog multiplication.
Changju Yang, Hyongsuk Kim
doaj   +1 more source

Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]

, 2012
In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood, Merrikh-Bayat, Farshad, Shouraki, Saeed Bagheri   +2 more
core   +1 more source

Low-Power Memristor for Neuromorphic Computing: From Materials to Applications

Nano-Micro Letters
As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The concept
Zhipeng Xia, Xiao Sun, Zhenlong Wang, Jialin Meng, Boyan Jin, Tianyu Wang   +5 more
semanticscholar   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +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

Ultrahigh‐Yield, Multifunctional, and High‐Performance Organic Memory for Seamless In‐Sensor Computing Operation

Advanced Functional Materials, EarlyView.
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim, Jaehyoung Ko, Namju Kim, Quynh H. Nguyen, Hoyeon Lee, Joohwan Eo, Seongeon Jin, Ji Eon Kwon, Seung‐Yeol Jeon, Youngdo Jeong, Dongseok Kwon, Sung Gap Im, Sanghan Lee, Byung Chul Jang, Yongho Joo   +14 more
wiley   +1 more source

Results on a Novel Piecewise-Linear Memristor-Based Chaotic System

Complexity, 2019
The paper studies a kind of piecewise-linear memristor-based chaotic system. Based on a novel and complicated piecewise-linear memristor model, a chaotic system is constructed; then a random sequence extraction approach on the basis of the given ...
Bo Wang
doaj   +1 more source