A novel machine learning model for molecular simulation under an external field

Prof. Jiang Bin's research team at the University of Science and Technology of China (USTC) have developed a universal field-induced recursively embedded atom neural network (FIREANN) model, which can accurately simulate system-field interactions with high efficiency. Their research was published in Nature Communications on October 12.