Materials physics is the fundamental for studying the solid-state electrochemistry that is processed on electrode surfaces. We are using computational modeling to predict and optimize physical properties of electrode materials for regulating the electrochemical behavior. Advanced machining technologies, including deep learning and AI assist, are being complemented to facilitate the discovery of outstanding materials, which effectively instruct the experimental synthesis. In addition, finite element simulations are also supported in the group to configure and tailor electrochemical reactors as well as other continuum models.