As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

The modern-day computing technologies are continuously undergoing a rapid changing
landscape; thus, the demands of new memory types are growing that will be fast, energy …

Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic,
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …

Neuromorphic computing (NC), which emulates neural activities of the human brain, is
considered for the low-power implementation of artificial intelligence. Toward realizing NC …

Memristors offer vast application opportunities in storage, logic devices, and computation
due to their non-volatility, low power consumption, and fast operational speeds. Two …

In this work, we present a fabrication strategy for high-yield memristor crossbar arrays. Our
approach uses an Al2O3/TiO x-based bilayer memristor with a combination of a dielectric …

As interest in artificial intelligence (AI) and relevant hardware technologies has been
developed rapidly, algorithms and network structures have become significantly …

To analyze the effect of the intrinsic variations of the memristor device on the neuromorphic
system, we fabricated 32× 32 Al 2 O 3/TiO x-based memristor crossbar array and …

The motivation for driving semiconductor devices can be found in the development of
advanced computers which can contribute to the betterment in our daily lives. The …

Recently, hardware-based neural network using memristive devices, so called
neuromorphic system, has been extensively studied. Especially, on-chip (in situ) learning …