The discovery of new crystalline inorganic compounds─ novel compositions of matter within
known structure types, or even compounds with completely new crystal structures─ …

Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

The emergence of high-entropy materials has inspired the exploration of novel materials in
diverse technologies. In electrochemical energy storage, high-entropy design has shown …

Automation can transform productivity in research activities that use liquid handling, such as
organic synthesis, but it has made less impact in materials laboratories, which require …

Efficient synthesis recipes are needed to streamline the manufacturing of complex materials
and to accelerate the realization of theoretically predicted materials. Often, the solid-state …

Materials discovery lays the foundation for many technological advancements. The
prediction and discovery of new materials are not simple tasks. Here, we outline some basic …

Achieving high-performance perovskite photovoltaics, especially in ambient air relies
heavily on optimizing process parameters. However, traditional manual methods often …

Material science has historically evolved in tandem with advancements in technologies for
characterization, synthesis, and computation. Another type of technology to add to this mix is …

High-throughput computational materials discovery has promised significant acceleration of
the design and discovery of new materials for many years. Despite a surge in interest and …

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