Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

Memristors, acting as artificial synapses, have promised their prospects in neuromorphic
systems that imitate the brain's computing paradigm. However, most studies focused on the …

Recent research in nanotechnology has led to the practical realization of nanoscale devices
that behave as memristors, a device that was postulated in the seventies by Chua based on …

As the era of big data approaches, conventional digital computers face increasing difficulties
in performance and power efficiency due to their von Neumann architecture. As a result …

The memristor is a resistive switch where its resistive state is programable based on the
applied voltage or current. Memristive devices are thus capable of storing and computing …

The memristor is a promising candidate to implement high-density memory and
neuromorphic computing. Based on the characteristic retention time, memristors are …

In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Synaptic devices with bipolar analog resistive switching behavior are the building blocks for
memristor-based neuromorphic computing. In this work, a fully complementary metal-oxide …

Neuromorphic computation is one of the axes of parallel distributed processing, and
memristor-based synaptic weight is considered as a key component of this type of …