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https://pubmed.ncbi.nlm.nih.gov/38116636
This study describes the development of an autonomous, self-driving fluidic lab for the synthesis of lead-free copper-based metal halide perovskite nanocrystals, achieving the first reproducible in-flow synthesis of Cs3Cu2I5 NCs and optimizing their synthetic route using machine learning.