Transition metal oxide-based memristors have widely been proposed for applications toward artificial synapses. In general, memristors have two or more electrically switchable stable resistance states that device researchers see as an analogue to the ion channels found in biological synapses. The mechanism behind resistive switching in metal oxides has been divided into electrochemical metallization models and valence change models. The stability of the resistance states in the memristor vary widely depending on: oxide material, electrode material, deposition conditions, film thickness, and programming conditions. So far, it has been extremely challenging to obtain reliable memristors with more than two stable multivalued states along with e...
To implement artificial neural networks (ANNs) based on memristor devices, it is essential to secure...
The switching characteristics and performance of oxide-based memristors are predominately determined...
Memristors have been proposed for a number of applications from nonvolatile memory to neuromorphic ...
Transition metal oxide-based memristors have widely been proposed for applications toward artificial...
Memristive devices with analog resistive switching characteristics are widely investigated nowadays ...
TaO<sub><i>x</i></sub>-based memristors have recently demonstrated both subnanosecond resistance swi...
An oxidizable metal diffusion barrier inserted between the active metal electrode and the switching ...
Memristors are ideal devices able to switch among different resistive states and to retain the most ...
An oxide memristor device changes its internal state according to the history of the applied voltage...
The development of novel devices for neuromorphic computing and non-traditional logic operations lar...
Inspired by the computing architecture of human brain,neuromorphic computing promises massively para...
Memristive devices have attracted tremendous interests because of their highly desirable properties ...
Novel nonvolatile memory technologies garner intense research interest as conventional ash devices a...
This work reports the fabrication and characterization of metal-insulator-metal (MIM) structures bas...
The breakthrough in electronics and information technology is anticipated by the development of emer...
To implement artificial neural networks (ANNs) based on memristor devices, it is essential to secure...
The switching characteristics and performance of oxide-based memristors are predominately determined...
Memristors have been proposed for a number of applications from nonvolatile memory to neuromorphic ...
Transition metal oxide-based memristors have widely been proposed for applications toward artificial...
Memristive devices with analog resistive switching characteristics are widely investigated nowadays ...
TaO<sub><i>x</i></sub>-based memristors have recently demonstrated both subnanosecond resistance swi...
An oxidizable metal diffusion barrier inserted between the active metal electrode and the switching ...
Memristors are ideal devices able to switch among different resistive states and to retain the most ...
An oxide memristor device changes its internal state according to the history of the applied voltage...
The development of novel devices for neuromorphic computing and non-traditional logic operations lar...
Inspired by the computing architecture of human brain,neuromorphic computing promises massively para...
Memristive devices have attracted tremendous interests because of their highly desirable properties ...
Novel nonvolatile memory technologies garner intense research interest as conventional ash devices a...
This work reports the fabrication and characterization of metal-insulator-metal (MIM) structures bas...
The breakthrough in electronics and information technology is anticipated by the development of emer...
To implement artificial neural networks (ANNs) based on memristor devices, it is essential to secure...
The switching characteristics and performance of oxide-based memristors are predominately determined...
Memristors have been proposed for a number of applications from nonvolatile memory to neuromorphic ...