An interpretable molecular descriptor for machine learning predictions in atmospheric science

Linus Lind, Hilda Sandström, Patrick Rinke

The study of aerosol formation and chemistry using machine learning is limited by the lack of molecular descriptors suited to atmospheric compounds. Interpretable models are partic…