2020/03/19 by Zhenyi Ni, Chunxiong Bao, Ye Liu +9 · 8 citations
Engineering · Materials Science · #Chemical and Physical Properties of Materials #Machine Learning in Materials Science #Perovskite Materials and Applications
paper · doi:10.1126/science.aba0893
openalex publication_date 2020/03/19 · openalex created_date 2020/03/23 · openalex updated_date 2026/07/31
Mapping perovskite trap states The high efficiency of hybrid inorganic-organic perovskite solar cells is mainly limited by defects that trap the charge carriers and lead to unproductive recombination. Ni et al. used drive-level capacitance profiling to map the spatial and energetic distribution of trap states in both polycrystalline and single-crystal perovskite solar cells. The interface trap densities were up to five orders of magnitude higher than the bulk trap densities. Deep traps were mainly located at the interface of perovskites and hole-transport layers, where processing created a high density of nanocrystals. These results should aid efforts aimed at avoiding trap-state formation or passivating such defects. Science , this issue p. 1352