Dr. Tantratian joined the Department of Metallurgical Engineering, Chulalongkorn University (August 2024)
The Computational Metallurgy Lab (CML) at Chulalongkorn University is dedicated to integrating materials-and mechanical-science, physics-based simulation, and AI to accelerate the development of advanced materials for energy storage. By examining materials through the lens of metallurgists, we address challenges across a broad spectrum of technologies—from lithium- and sodium-based batteries to hydrogen storage, and beyond.
Phase-field & FEM simulations of microstructural and mechanical behavior
AI-driven microstructure analysis: segmentation, feature extraction, etc.
Multiscale computational framework (from atomic to continuum scale)
Electrochemical & corrosion modeling
Grain selection growth of soft metal in electrochemical processes (Joule, 2025)
Coupled advanced characterization techniques with thermodynamic theory and a phase-field modeling framework to reveal texture‑formation mechanisms governing soft metal plating/stripping in batteries. Here are simulated grain selection growth of Li plating under solid and liquid electrolytes.
Li plating in liquid electrolytes
Li plating in solid electrolytes
Unraveling the Li penetration mechanism in polycrystalline solid electrolytes (AEM, 2021)
Despite high mechanical strength and modulus, solid electrolytes can still host Li dendrite within. The mismatch of mechanical and electronic properties between the grain boundary and the bulk grain are potentially the root cause. Grain boundaries are softer and likely to trap electrons.