Over the past decade, the wide-scale adoption of artificial intelligence (AI) and machine
learning (ML) has transformed the landscape of scientific research and development, which …

InP quantum dots (QDs) have great potential as emitters for solid-state lighting, lasing, and
bioimaging without the inherent toxicity concern of Cd and Pb-based emitters. Indium …

InP quantum dots (QDs), owing to their non-toxicity, exceptional optoelectronic properties,
and great potential as a substitute for Cd/Pb-based QDs, have garnered significant attention …

A key challenge in quantum photonics today is the efficient and on-demand generation of
high-quality single photons and entangled photon pairs. In this regard, one of the most …

Development of stable blue-emitting materials has always been a challenging task because
of the necessity of high crystal quality and good optical properties. We have developed a …

The design of inorganic materials for various applications critically depends on our ability to
manipulate their synthesis in a rational, robust, and controllable fashion. Different from the …

Colloidal nanoparticles are attractive materials for various energy and chemical
applications. Due to their strictly tunable structure-function relationships, reproducibly …

Machine learning (ML) has demonstrated potential toward accelerating synthesis planning
for various material systems. However, ML has remained out of reach for many materials …

Lead halide perovskite nanocrystals with inclusion of a transition-metal dopant of Mn2+ offer
a substantial degree of freedom to modulate the optoelectronic and magnetic properties …

Artificial intelligence (AI) technologies, including machine learning and deep learning, have
become ingrained in both everyday life and in scientific research. In chemistry, these …