Conduction mechanisms, dynamics and stability in ReRAMs
Though resistive random access memory (ReRAM), a promising emerging memory
technology, has achieved remarkable progress in technology development in recent years …
technology, has achieved remarkable progress in technology development in recent years …
Filament growth and resistive switching in hafnium oxide memristive devices
We report on the resistive switching in TiN/Ti/HfO2/TiN memristive devices. A resistive
switching model for the device is proposed, taking into account important experimental and …
switching model for the device is proposed, taking into account important experimental and …
Memristive stochastic plasticity enables mimicking of neural synchrony: Memristive circuit emulates an optical illusion
M Ignatov, M Ziegler, M Hansen, H Kohlstedt - Science advances, 2017 - science.org
The human brain is able to integrate a myriad of information in an enormous and massively
parallel network of neurons that are divided into functionally specialized regions such as the …
parallel network of neurons that are divided into functionally specialized regions such as the …
Field-induced nucleation in threshold switching characteristics of electrochemical metallization devices
In this research, we investigate electrically driven threshold switching (TS) characteristics in
electrochemical metallization cells by adopting the field-induced nucleation theory. For this …
electrochemical metallization cells by adopting the field-induced nucleation theory. For this …
Analogue pattern recognition with stochastic switching binary CMOS-integrated memristive devices
F Zahari, E Pérez, MK Mahadevaiah, H Kohlstedt… - Scientific reports, 2020 - nature.com
Biological neural networks outperform current computer technology in terms of power
consumption and computing speed while performing associative tasks, such as pattern …
consumption and computing speed while performing associative tasks, such as pattern …
Implementation of dropout neuronal units based on stochastic memristive devices in neural networks with high classification accuracy
Neural networks based on memristive devices have achieved great progress recently.
However, memristive synapses with nonlinearity and asymmetry seriously limit the …
However, memristive synapses with nonlinearity and asymmetry seriously limit the …
Computational Study on Filament Growth Dynamics in Microstructure-Controlled Storage Media of Resistive Switching Memories
P Xu, W Fa, S Chen - ACS nano, 2023 - ACS Publications
The filament growth processes, crucial to the performance of nanodevices like resistive
switching memories, have been widely investigated to realize the device optimization. With …
switching memories, have been widely investigated to realize the device optimization. With …
Double-barrier memristive devices for unsupervised learning and pattern recognition
The use of interface-based resistive switching devices for neuromorphic computing is
investigated. In a combined experimental and numerical study, the important device …
investigated. In a combined experimental and numerical study, the important device …
The role of ion transport phenomena in memristive double barrier devices
In this work we report on the role of ion transport for the dynamic behavior of a double barrier
quantum mechanical Al/Al2O3/NbxOy/Au memristive device based on numerical simulations …
quantum mechanical Al/Al2O3/NbxOy/Au memristive device based on numerical simulations …
Stochastic behavior of an interface-based memristive device
A large number of simulation models have been proposed over the years to mimic the
electrical behavior of memristive devices. The models are based either on sophisticated …
electrical behavior of memristive devices. The models are based either on sophisticated …