Solution-processed memristors: performance and reliability
Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …
information storage, artificial intelligence cryptography and telecommunication. Memristive …
On the thermal models for resistive random access memory circuit simulation
Resistive Random Access Memories (RRAMs) are based on resistive switching (RS)
operation and exhibit a set of technological features that make them ideal candidates for …
operation and exhibit a set of technological features that make them ideal candidates for …
High‐Temporal‐Resolution Characterization Reveals Outstanding Random Telegraph Noise and the Origin of Dielectric Breakdown in h‐BN Memristors
Memristor‐based electronic memory have recently started commercialization, although its
market size is small (~ 0.5%). Multiple studies claim their potential for hardware …
market size is small (~ 0.5%). Multiple studies claim their potential for hardware …
Application of the quasi-static memdiode model in cross-point arrays for large dataset pattern recognition
We investigate the use and performance of the quasi-static memdiode model (QMM) when
incorporated into large cross-point arrays intended for pattern classification tasks. Following …
incorporated into large cross-point arrays intended for pattern classification tasks. Following …
Current transient response and role of the internal resistance in HfOx-based memristors
MB Gonzalez, M Maestro-Izquierdo… - Applied Physics …, 2020 - pubs.aip.org
Filamentary-type valence change memristors based on HfO 2 are currently being explored
as potential candidates to emulate the synaptic functionality of biological inspired …
as potential candidates to emulate the synaptic functionality of biological inspired …
SPICE simulation of RRAM-based cross-point arrays using the dynamic memdiode model
We thoroughly investigate the performance of the Dynamic Memdiode Model (DMM) when
used for simulating the synaptic weights in large RRAM-based cross-point arrays (CPA) …
used for simulating the synaptic weights in large RRAM-based cross-point arrays (CPA) …
Fast fitting of the dynamic memdiode model to the conduction characteristics of RRAM devices using convolutional neural networks
In this paper, the use of Artificial Neural Networks (ANNs) in the form of Convolutional
Neural Networks (AlexNET) for the fast and energy-efficient fitting of the Dynamic Memdiode …
Neural Networks (AlexNET) for the fast and energy-efficient fitting of the Dynamic Memdiode …
Minimization of the line resistance impact on memdiode-based simulations of multilayer perceptron arrays applied to pattern recognition
In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic
SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) …
SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) …
Impact of bilayered oxide stacks on the breakdown transients of metal–oxide–semiconductor devices: An experimental study
The role of the bilayered structure of the gate oxide on the dynamics of progressive
breakdown is systematically studied on Au/Cr/HfO 2/Al 2 O 3/InGaAs metal–oxide …
breakdown is systematically studied on Au/Cr/HfO 2/Al 2 O 3/InGaAs metal–oxide …
Assessment and improvement of the pattern recognition performance of memdiode-based cross-point arrays with randomly distributed stuck-at-faults
In this work, the effect of randomly distributed stuck-at faults (SAFs) in memristive cross-point
array (CPA)-based single and multi-layer perceptrons (SLPs and MLPs, respectively) …
array (CPA)-based single and multi-layer perceptrons (SLPs and MLPs, respectively) …