"Deep Learning Revolutionizes Nano-Array Development for Tailored Structural Color Production"

Researchers from Chongqing University have developed a new system using deep learning models to enhance nanohole arrays and create specific structural colors. The models, CSC and CSS, accurately predicted the colors of the arrays, and the results were transformed into experimental reality. The scalability of this method shows promise for managing larger datasets and implementing complex structures in different materials. This research has implications for applications such as high-density storage and plasmic applications.