Results 41 to 50 of about 14,306 (300)
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 +3 more
doaj +1 more source
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
A Flux-Controlled Logarithmic Memristor Model and Emulator
, 2022 The HP TiO2 model, as it is well known, is the most widely used physical model of memristor. However, deriving a mathematical model that fully characterizes the HP TiO2 memristor is a challenging task. As a result, simplified models such as the nonlinear
Xie, X +4 more
core +1 more source
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 +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
A Compact Memristor Model Based on Physics-Informed Neural Networks
MicromachinesMemristor devices have diverse physical models depending on their structure. In addition, the physical properties of memristors are described using complex differential equations.
Younghyun Lee +2 more
doaj +1 more source
Polarity-Controlled Coexistence of Electrochemical Metallization and Valence Change Mechanisms in a Unified Metal Halide Perovskite Memristor. [PDF]
Adv Sci (Weinh)Electrochemical metallization and valence change mechanisms are shown to coexist within a single metal halide perovskite memristor, selectively activated by simply reversing the electroforming voltage polarity. Ag‐driven switching delivers low operating voltages and high endurance, while intrinsic ion migration yields superior retention and resistance ...
Fernandez-Guillen I +4 more
europepmc +2 more sources
Experimental demonstration of associative memory with memristive neural networks [PDF]
, 2009 When someone mentions the name of a known person we immediately recall her face and possibly many other traits. This is because we possess the so-called associative memory - the ability to correlate different memories to the same fact or event ...
Massimiliano Di Ventra, Yuriy Pershin
core
Memristor-Based Edge Detection Dataset
, 2019 This is the data produced for the paper titled: Memristor-Based Edge Detection. In this study, we investigate the use of silicon dioxde memristors in edge detection.
Wing Ng (6762572) +3 more
core +1 more source
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
Advanced Functional Materials, EarlyView.This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source