Results 51 to 60 of about 11,144 (308)

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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

open access: yesComplexity, 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

Memristor-based genetic algorithm for image restoration

open access: yesJournal of Electronic Science and Technology, 2022
This paper explores a way of deploying the classical algorithm named genetic algorithm (GA) with the memristor. The memristor is a type of circuit device with both characteristics of storage and computing, which provides the similarity between electronic
Yong-Bin Yu   +5 more
doaj   +1 more source

Memristors get the hues

open access: yesNature Nanotechnology, 2021
The memristor, in which an external electric field controls the formation and annihilation of conductive channels, has been described both as a missing electronic element and a memory and computational element. Here, their utility as building blocks for promising reflective and energy-efficient colour technology is described.
Sarwat, SG, Bhaskaran, H
openaire   +3 more sources

Backbone‐Controlled Ion‐Side Chain Accessibility in Conjugated Polymers for Organic Electrochemical Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Backbone modulation in glycolated conjugated polymers governs ion accessibility to side chains, strengthes anion adsorption, and suppresses back‐diffusion. As the number of thiophene units increases, structural reorganization, retention, and synaptic plasticity are enhanced, leading to improved neuromorphic performance in electrolyte‐gated organic ...
Junho Sung   +10 more
wiley   +1 more source

Efecto resistivo del Memristor en circuitos análogos

open access: yes, 2016
In 1971 Professor Chua proposed the fourth basic element circuits and called it the memristor, an element that must directly relate charge and magnetic flux. It’s call memristor because it must have a behavior as a memory and resistor.
Cardona, Juan Pablo   +5 more
core   +1 more source

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

Design and simulation of high-pass filter based on improved memristor

open access: yesGong-kuang zidonghua, 2013
In view of problem that traditional memristor model cannot conform to resistance variation characteristics of the memristor of physical model proposed by HP laboratory, the paper proposed an improved memristor model with threshold voltage.
YANG Biao, PAN Lia
doaj  

Design of chaotic circuit based on Knowm memristor

open access: yesElectronics Letters
Most previous works in the field of nonlinear memristive chaotic systems mainly focus on non‐material memristor while seldom on material memristor.
Fuping Wang, Faqiang Wang
doaj   +1 more source

Memristor Neural Network Training with Clock Synchronous Neuromorphic System

open access: yesMicromachines, 2019
Memristor devices are considered to have the potential to implement unsupervised learning, especially spike timing-dependent plasticity (STDP), in the field of neuromorphic hardware research.
Sumin Jo   +5 more
doaj   +1 more source

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