Magnonics addresses the dynamic excitations of a magnetically ordered material. These
excitations, referred to as spin waves and their quanta, magnons, are a powerful tool for …

Carbon dots are luminescent carbonaceous nanoparticles that can be endowed with chiral
properties, making them particularly interesting for biomedical applications due to their low …

Complex-valued neural networks have many advantages over their real-valued
counterparts. Conventional digital electronic computing platforms are incapable of executing …

Hybrid organic–inorganic perovskites (HOIPs) offer long carrier-diffusion lengths, high
absorption coefficients, tunable band gaps and long spin lifetimes. The flexible crystal …

Recently, there has been significant interest in the use of chiral metal–organic frameworks
(MOFs) and coordination polymers (CPs) for photonics applications. The promise of these …

The explosive demand for a wide range of data processing has sparked interest towards a
new logic gate platform as the existing electronic logic gates face limitations in accurate and …

There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …

High-index dielectric nanostructures can support optical resonances of electric and
magnetic character with ultralow linear absorption. In contrast to plasmonics, they can be …

Training an artificial neural network with backpropagation algorithms to perform advanced
machine learning tasks requires an extensive computational process. This paper proposes …

Nonlinear optical devices and their implementation into modern nanophotonic architectures
are constrained by their usually moderate nonlinear response. Recently, epsilon-near-zero …