Computational Materials Modeling: Thermodynamics and Kinetics

Computational modeling has become an indispensable tool for materials scientists and engineers seeking to design new materials and optimize processing conditions without relying solely on expensive, time-consuming experiments. This course provides a strong theoretical and practical foundation in the computational methods used to simulate material behavior, enabling you to interpret complex phase diagrams and predict kinetic pathways with confidence. What you'll learn: * Understand the fundamental thermodynamic principles governing phase stability and chemical potential. * Apply computational methods like the CALPHAD approach to construct and analyze multi-component phase diagrams. * Master the principles of materials kinetics, including diffusion, reaction rates, and activation energy barriers. * Analyze time-dependent processes using basic simulation concepts like Phase Field modeling for microstructure evolution. * Develop skills in interpreting complex simulation outputs and validating computational results against theoretical data. The course starts by establishing essential concepts in materials thermodynamics and kinetics before introducing the mathematical frameworks and widely used computational methods necessary for simulation. You will learn how these models are applied to understand phase equilibria and time-dependent material processes. This course is for beginners in materials science, engineering, physics, or chemistry. No prior experience with advanced computational modeling is required. Start building your foundational knowledge in computational materials science today.