Deep learning has become the dominant approach in artificial intelligence to solve complex
data-driven problems. Originally applied almost exclusively in computer-science areas such …

Abstract 2D materials are emerging as ideal candidates for fundamental investigations and
new technologies due to their unique optoelectronic properties. Giant nonlinear …

The rewards of using plants and plant metabolites over other biological methods for
nanoparticle synthesis have fascinated researchers to investigate mechanisms of metal ions …

Photonic inverse design concerns the problem of finding photonic structures with target
optical properties. However, traditional methods based on optimization algorithms are time …

Toroidal moments in artificial media have received growing attention and considered as a
promising framework for initiating novel approaches to manage intrinsic radiative losses in …

Recent advances in the exploitation of localized surface plasmons (charge density
oscillations confined to metallic nanoparticles and nanostructures) in nanoscale optics and …

P. Gütlich, HA Goodwin: Spin Crossover-An Overall Perspective.-A. Hauser: Ligand Field
Theoretical Considerations.-HA Goodwin: Spin Crossover in Iron (II) Tris (diimine) and Bis …

The interaction of light with free electrons in a gold or silver nanostructure can give rise to
collective excitations commonly known as surface plasmons. Plasmons provide a powerful …

We have synthesized silver nanoparticles from silver nitrate solutions using extracts of
Rumex hymenosepalus, a plant widely found in a large region in North America, as reducing …

In this chapter we attempt to review the potential for the application of the spin crossover
(SCO) phenomenon in various domains, such as molecular electronics, data storage …