Molecular Simulations: Foundational Thermodynamics and Practice

Molecular simulations are indispensable tools for predicting the behavior of materials and chemical systems, but successful modeling requires a strong grasp of underlying physical laws. This course provides a rigorous, text-based introduction to the statistical mechanics and thermodynamics that underpin modern computational modeling, enabling you to confidently approach practical simulation work. This course will transform your understanding of how macroscopic properties emerge from microscopic interactions. What you'll learn: * Understand the fundamental laws of thermodynamics and their rigorous statistical interpretation. * Learn the different statistical ensembles (NVE, NVT, NPT) and when to apply them in computational modeling. * Apply potential energy functions and force field concepts to accurately model interatomic and molecular interactions. * Practice the conceptual steps for executing basic computational experiments using Molecular Dynamics (MD) and Monte Carlo (MC) methods. * Interpret simulation outputs, including calculating key thermodynamic properties like energy, heat capacity, and pressure. This content begins with a foundational review of classical thermodynamics and statistical mechanics before moving into the detailed conceptual steps of various simulation algorithms. You will read detailed explanations of the mathematical framework and the workflow involved in executing a typical simulation. This course is designed for absolute beginners in computational chemistry, physics, or materials science. No prior experience with molecular simulation software or advanced programming is required. Start building your foundation in computational thermodynamics today.