Computational Thermodynamics 

Computational thermodynamics is a powerful approach for understanding and predicting phase stability in complex material systems. By calculating phase equilibria, phase transformations, and thermodynamic driving forces, this methodology provides essential guidance for designing new alloys and optimizing processing conditions.

Our research lab focuses on CALPHAD-based thermodynamic database development for multicomponent metallic and ceramic materials. We integrate experimental phase equilibrium data, thermodynamic models, and computational optimization to construct reliable databases and calculate phase diagrams. These databases allow us to efficiently explore composition-temperature relationships and identify promising processing windows for advanced materials.

In particular, we are interested in MAX phases, transition-metal carbides/nitrides, and related high-temperature material systems. Through thermodynamic modeling and database validation, we aim to accelerate the design of materials with improved phase stability, functionality, and processing reliability.

On-going Research Project: 

(1) 맥신 플랫폼 구조를 이용한 이차원 반도체 및 자성체 개발 기초 연구실

    (Basic Research Laboratory for 2D Semiconductors and Magnetic Materials Development Utilizing MXene Structural Platform)