Accelerating Electrical Conductivity Optimization of Doped Conjugated Polymers Using Explainable Machine Learning

Machine learning models can accurately classify and predict the electrical conductivity of doped conjugated polymer samples by leveraging their UV-VIS-NIR absorbance spectra, enabling efficient high-throughput optimization of these materials.