Analysis and prediction of perovskite solar cells database
발표자
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초록
내용
Perovskite solar cells (PSCs) have received considerable attention because they have relatively simple processes, flexibility, low cost, and excellent efficiency compared to previously developed solar cells. The materials and process of each layer in the multi-layered structure of PSCs are key characteristics of the performance of PSCs. Therefore we have collected the detailed information of each layer and the performance data points of PSCs from literature by selection various topics and journals. The PSCs database contains about 2,900 cell information from 688 literatures, also can be easily accessed through a web-based system (URL: www.perovkstie.info). The aim of database is to analyse major patterns from the past research and predict the performance of PSCs using statistical methods and machine learning (ML) tools. In particular, the ML approach to predict performance is expected to be help design of experiments as well as improving the research efficiency.