Light–matter (photon–electron) interactions offer a powerful means to control chemical reactions and stabilize quantum phases. We develop approaches based on polaron transformations to accurately simulate electron–boson coupled systems.
By combining ab initio simulations with machine learning techniques, we design quantum materials with unprecedented accuracy and efficiency.