Variability estimation in resistive switching devices, a numerical and kinetic Monte Carlo perspective-Reference-Cited by-同舟云学术

Variability estimation in resistive switching devices, a numerical and kinetic Monte Carlo perspective

Published:2022-03 Issue: Volume:257 Page:111736
ISSN:0167-9317
Container-title:Microelectronic Engineering
language:en
Short-container-title:Microelectronic Engineering

Author:

Maldonado D.,Aldana S.,González M.B.,Jiménez-Molinos F.,Ibáñez M.J.,Barrera D.,Campabadal F.,Roldán J.B.

Funder

Ministerio de Ciencia, Innovación y Universidades

European Regional Development Fund

Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Surfaces, Coatings and Films,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference55 articles.

1. Recommended methods to study resistive switching devices;Lanza;Adv. Electron. Mater.,2019

2. Memristive devices and systems;Chua;Proc. IEEE,1976

3. Standards for the characterization of endurance in resistive switching devices;Lanza;ACS Nano,2021

4. Recent progress in resistive random access memories: materials, switching mechanisms and performance;Pan;Mater. Sci. Eng.,2014

5. Resistive Switching: From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications;Ielmini,2015

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Influence of stop and gate voltage on resistive switching of 1T1R HfO2-based memristors, a modeling and variability analysis;Materials Science in Semiconductor Processing;2024-11

2. Non-uniform WENO-based quasi-interpolating splines from the Bernstein–Bézier representation and applications;Mathematics and Computers in Simulation;2024-09

3. Variability in HfO₂-based memristors described with a new bidimensional statistical technique;Nanoscale;2024

4. A thorough investigation of the switching dynamics of TiN/Ti/10 nm-HfO2/W resistive memories;Materials Science in Semiconductor Processing;2024-01

5. A Signal‐To‐Noise‐Ratio‐Based Automated Algorithm to accelerate Kinetic Monte Carlo Convergence in Basic Polymerizations;Advanced Theory and Simulations;2023-11-07