Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach

A 480-pair donor–acceptor database with 43 descriptors predicted photovoltaic parameters via random forest. Novel pairs via genetic algorithm achieved 16.85% efficiency, offering an efficient method for organic solar cells and molecular design.