Fabricating chiral inorganic materials and revealing their unique quantum confinement‐
determined optical chiral responses are crucial tasks in the multidisciplinary fields of …

Inorganic nanoparticles offer a multifunctional platform for biomedical applications in drug
delivery, biosensing, bioimaging, disease diagnosis, screening, and therapies …

The generation of molecular chirality in the absence of any molecular chiral inductor is
challenging and of fundamental interest for developing a better understanding of …

Plasmonic nanoparticles, particularly gold nanoparticles (GNPs) hold a great potential as
structural and functional building blocks for three-dimensional (3D) nanoarchitectures with …

The rapid development of chiral inorganic nanostructures has greatly expanded from
intrinsically chiral nanoparticles to more sophisticated assemblies made by organics, metals …

Intrinsically chiral plasmonic nanomaterials exhibit intriguing geometry‐dependent
chiroptical properties, which is due to the combination of plasmonic features with geometric …

Chirality introduces a new dimension of functionality to materials, unlocking new possibilities
across various fields. When integrated with plasmonic hybrid nanostructures, this attribute …

Deep-learning (DL) network has emerged as an important prototyping technology for the
advancements of big data analytics, intelligent systems, biochemistry, physics, and …

Incorporating photonic crystals with nanoplasmonic building blocks gives rise to novel
optoelectronic properties that promise designing advanced multifunctional materials and …

Here, a deep learning (DL) algorithm based on deep neural networks is proposed and
employed to predict the chiroptical response of two-dimensional (2D) chiral metamaterials …