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.
The Organic-Inorganic Perovskite Data Set is a valuable resource for researchers in the field: having this content now 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.
Join our SpringerMaterials experts in the free session below with Volker Blum (Associate Professor of Mechanical Engineering and Materials Science and of Chemistry, Duke University) and Rayan Chakraborty (Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University) to find out more about the collaborative project between Duke University and Springer Nature.