Research

Li‑ion batteries are nearing their energy‑density limits, driving the search for new anode materials. Metallic anodes (Li, Na, Zn) emerge as a promising alternative, but safety and cycle life remain challenges. In our lab, we combine core principles with multiscale computational modeling to tackle to address key challenges in advanced battery. We use physics-based simulations and data driven AI to study plating and stripping behavior in metallic and alloyed anodes. The project is dedicated to reveal how dendrite growth, interfacial instability, and degradation affect cyclability, safety and performance, guiding the development of safer and longer lasting energy storage.

Our department has practiced metallurgy and trained the country’s metallurgists for decades. With our reliable data and deep expertise, this project will develop AI tools to detect defects, segment phases, and analyze microstructures—making metallurgical knowledge open and easy to access.