ПРИМЕНЕНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ПОИСКА ПЕРОВСКИТОПОДОБНЫХ СОЕДИНЕНИЙ С НАИЛУЧШЕЙ ЭФФЕКТИВНОСТЬЮ ПРЕОБРАЗОВАНИЯ СОЛНЕЧНОЙ ЭНЕРГИИ

Abstract

Perovskite like compounds is promising because of their relative cheapness, ease of production and efficiency of solar energy conversion. However, such structures can be unstable. With the help of machine learning methods, one could predict solar cell structures with high PCE.