Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …

Terahertz (THz) emission spectroscopy (TES) has emerged as a highly effective and
versatile technique for investigating the photoelectric properties of diverse materials and …

The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …

Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Learning and pattern recognition inevitably requires memory of previous events, a feature
that conventional CMOS hardware needs to artificially simulate. Dynamical systems …

The progress of artificial intelligence and the development of large‐scale neural networks
have significantly increased computational costs and energy consumption. To address these …

Nanoparticles constitute fundamental building blocks required in several fields of application
with current global importance. To fully exploit nanoparticle properties specifically …

The rapid advancement of new technologies has resulted in a surge of data, while
conventional computers are nearing their computational limits. The prevalent von Neumann …

Neuromorphic computing seeks to replicate the capabilities of parallel processing,
progressive learning, and inference while retaining low power consumption by drawing …

Magnetic tunnel junctions (MTJs) and memristors are two key emerging nanotechnologies
that attracted significant interest for potential applications at the forefront of the digital …