| Abstract Scope |
Low-dimensional organic–inorganic lead halides offer a versatile platform for tuning material properties through the design of organic cations. In this talk, I will present a machine learning approach that accurately predicts perovskite dimensionality based on ammonium cation features. Additionally, we reveal how secondary structures play a crucial role in shaping hybrid organic lead iodide compounds, providing new insights into structural control. In the context of materials design, I will showcase the development of viologen-based lead iodide as a stable, multifunctional photoelectrode for solar energy conversion in polar solvents. Finally, I will explore the potential of water-stable, chiral organic-inorganic lead iodide perovskites, with exciting applications in circular polarized luminescence and photodetectors. |