Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

The performance and stability of metal halide perovskite solar cells strongly depend on
precursor materials and deposition methods adopted during the perovskite layer …

Machine learning (ML) integrated density functional theory (DFT) calculations have recently
been used to accelerate the design and discovery of heterogeneous catalysts such as single …

I–III–VI2 group quantum dots (QDs) have attracted high attention in photoelectronic
conversion applications, especially for QD-sensitized solar cells (QDSSCs). This group of …

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

Conspectus In the ever-increasing renewable-energy demand scenario, developing new
photovoltaic technologies is important, even in the presence of established terawatt-scale …

Autonomous experimentation and chemical discovery strategies are rapidly rising across
multiple fields of science. However, closed-loop material development approaches have not …

I-III-VI type QDs have unique optoelectronic properties such as low toxicity, tunable
bandgaps, large Stokes shifts and a long photoluminescence lifetime, and their emission …

Autonomous atomistic computations are excellent tools to accelerate the development of
heterogeneous (electro-) catalysts. In this perspective, we critically review the achieved …

Nowadays, heterogeneous photocatalysis for water treatment and hydrogen production are
topics gaining interest for scientists and developers from different areas, such as …