Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …

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

Conventional CMOS technology is slowly approaching its physical limitations and
researchers are increasingly utilizing nanotechnology to both extend CMOS capabilities and …

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 …

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

A memristor can comprehensively emulate the neural components rather than imitating a
single characteristic superficially due to its analog and hysteretic resistive switching. Bio …

Memristive devices have attracted intensive attention in developing hardware neuromorphic
computing systems with high energy efficiency due to their simple structure, low power …

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 systems that can emulate the structure and the operations of biological neural
circuits have long been viewed as a promising hardware solution to meet the ever-growing …

As the boom of data storage and processing, brain-inspired computing provides an effective
approach to solve the current problem. Various emerging materials and devices have been …