Introducing the Hybrid Perovskite Data Set

Perovskite materials have become increasingly popular due to their unique properties that make them ideal for various applications, such as solar-cells, photodetectors, field-effect transistors, light-emitting diodes and, spintronics. However, with so many variations of perovskite materials, it can be challenging to find the most suitable material for a specific application. That's where the Perovskite Data Set comes in.

The Perovskite Data Set is a valuable resource for researchers in the field of perovskite materials. The data set enables researchers to compare and analyse different materials and optimise their properties for specific applications. Researchers can use the data set to design new materials and experiment with new compositions, making the discovery of new materials more efficient and effective.

Compiled by the Hybrid³ team from Duke University led by Professor Volker Blum, the Organic-Inorganic Perovskite Data Set contains information on hundreds of perovskite compositions, properties, and synthesis methods. The data set includes information on organic-inorganic perovskite materials that have demonstrated exceptional performance in different applications and enables researchers to compare and analyse different materials and optimise their properties for specific applications, saving them time and resources.

While the data on organic-inorganic perovskites is also available via Duke’s HybriD³ materials database, having this content included in SpringerMaterials ensures its longevity and regular maintenance. In addition, we will be able to further enhance its value by presenting it along with other organic and inorganic materials and their properties - we hope that the data set will inspire new discoveries and collaborations, and ultimately contribute to the development of more efficient, sustainable, and cost-effective technologies in the areas of solar-cells, photodetectors, field-effect transistors, light-emitting diodes and, spintronics.