Beyond flat: 7D optimization of electronic polymer thin films via robotic-assisted closed-loop workflows

Semiconducting polymer thin films have broad utility in polymer electronics; however, various processing factors significantly influence film quality and performance. Simultaneously optimizing these parameters remains a challenge. To overcome this, researchers are increasingly leveraging artificial intelligence, robotics, and machine learning to enable rapid, multidimensional optimization of film properties.