Elucidating Morphology‐Mobility Relationships of Organic Thin Films Through Transfer Learning‐Assisted Multiscale Simulation (Adv. Funct. Mater. 22/2024)

Machine Learning-Assisted Simulations In article number 2313085, Dong Wang, Tianhao Tan, and Lian Duan utilize machine learning-assisted multiscale simulations to elucidate morphology–mobility relationships of solution processed organic thin films. The results indicate that moderate shearing speeds, together with a suitable solvent, promote the development of extended transport networks, ultimately enhancing the mobility of the films.