Machine Learning–Based Optimization and Engineering of Rb2CuSbF6‐Based Perovskite LEDs With Different Electron Transport Layers Using SETFOS
A machine‐learning approach is developed to optimize the Rb2CuSbF6‐based perovskite light‐emitting diodes (PeLEDs). Using density functional theory, the structure, electronic, and optical properties of these materials, Rb2CuSbX6 (X = F, Cl, Br) are explored and the properties needed for device modeling are determined....