Data-driven development of photocatalytic and optoelectronic perovskites

该项目旨在利用材料信息学发现新的，高效的钙钛矿，用于光电应用的合成和测试。该项目旨在确定钙钛矿的组成-性质关系，以克服高性能钙钛矿的现有缺点（含有稀有或有毒元素，在氧化和潮湿环境中稳定性低），通过考虑选择元素及其性质。该项目的预期成果包括在能源转换、光伏和发光等关键领域具有商业潜力的新型钙钛矿。这将带来巨大的好处，包括材料发现、新材料以及可再生能源和环境领域的方法。

This project aims to use materials informatics to discover new, high efficiency perovskites for synthesis and testing in optoelectronic applications. This project expects to identify perovskite composition-property relationships to overcome current drawbacks of high performance perovskites (contain rare or toxic elements and low stability in oxidative and humid environments) by considered selection of elements and their properties. Expected outcomes from this project include new perovskites with commercial potential in critical areas such as energy conversion, photocatalysis and luminescence. This should provide significant benefits including approaches to materials discovery, novel materials and in renewable energy and environmental areas.