Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Neuromorphic computing has garnered significant attention because it can overcome the
limitations of the current von-Neumann computing system. Analog synaptic devices are …

Herein, we report intriguing observations of an extremely stable nonvolatile bipolar resistive
switching (NVBRS) memory device fabricated using HfO2–TiO2 topologically protected by …

Oxide-based resistive random access memory (RRAM) is standing out in both non-volatile
memory and the emerging field of neuromorphic computing, with the consequence of …

Proliferation in research investigations on Neuromorphic computing applications is
evidenced recently, with memristor as a promising and potential candidate. For such an …

Analog synaptic devices have made significant advances based on various electronic
materials that can realize the biological synapse properties of neuromorphic computing …

Resistive random access memory (RRAM) has attracted considerable attention due to its
fast access speed and high storage density. Two different reset modes (progressive reset …

The multilevel storage capability of nonvolatile resistive random access memory (ReRAM) is
greatly desired to accomplish high functioning memory density. In this study, Ta 2 O 5 thin …

In this study, we investigated the resistive switching (RS) characteristics of ZrO x/HfO x
bilayer-based resistive random-access memory (RRAM) devices. A 1.5-nm-thick HfO x layer …

Von Neumann computing-based memory has reached its limit, it is incapable of performing
two tasks simultaneously, ie data storage and computation. Artificial neuromorphic …