Screening interface passivation materials intelligently through machine learning for highly efficient perovskite solar cells
Wu Liu, Yao Lu, Dong Wei, Xiaomin Huo, Xiaofeng Huang, Yaoyao Li, Juan Meng, Suling Zhao, Bo Qiao, Zhiqin Liang, Zheng Xu, Dandan Song
Abstract
Based on previous experimental results, machine learning is employed to intelligently screen interface materials for use in PSCs at the atomic level. The results of the high-throughput predictions were validated via DFT calculations and experiments.
Topics & Concepts
PassivationInterface (matter)Perovskite (structure)ThroughputMaterials scienceComputer scienceNanotechnologyArtificial intelligenceChemical engineeringLayer (electronics)EngineeringOperating systemWirelessMaximum bubble pressure methodBubblePerovskite Materials and ApplicationsMachine Learning in Materials ScienceQuantum Dots Synthesis And Properties