Phonons and magnons are prospective information carriers to substitute the transfer of
charge in nanoscale communication devices. Our ability to manipulate them at the …

Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-
driving cars may consume up to 50% of the total power available onboard, thereby limiting …

The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …

Photonic platforms are gradually emerging as a promising option to encounter the ever-
growing demand for artificial intelligence, among which photonic time-delay reservoir …

Emerging optoelectronic memristive devices with high parallelism and low-power
consumption have made neuromorphic computing hardware a tangible reality. The …

We study the performance of an Ising spin network for quantum reservoir computing in linear
and nonlinear memory tasks. We investigate the extent to which quantumness enhances …

Magnonic devices are extensively studied for energy‐efficient information processing. High
spatial resolution and high accuracy measurement is required to characterize the excitation …

We present a concept for selective excitation of magnetostatic surface waves with a quasi-
discrete spectrum using spatially patterned femtosecond laser pulses inducing either an …

We study the performance of an Ising spin network for quantum reservoir computing (QRC)
in linear and non-linear memory tasks. We investigate the extent to which quantumness …

The phase-field method enables simulating the spatiotemporal evolution of the coupled
physical-order parameters under externally applied fields in a wide range of materials and …