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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...
Understanding the relationship between morphology and charge transport capability in organic thin films is vital for advancements in organic electronics. However, accurately predicting charge mobility in these films is challenging due to the extensive evaluations of transfer integral required. To address this challenge, transfer learning techniques are employed to develop machine learning models capable...