Computational Quantum Mechanics: Basis Sets and Molecular Modeling

Understanding chemical reactions and material properties requires deep insight into molecular electronic structure. Computational Quantum Mechanics provides the essential tools to bridge theoretical models and experimental observation. This course equips you with the fundamental principles and practical skills needed to set up, run, and interpret high-level quantum chemistry calculations. You will learn to use modern computational methods to accurately predict molecular geometry, reaction energies, and spectroscopic properties. What you'll learn: * Understand the foundational principles of the Schrödinger equation and the approximations necessary for practical calculations. * Learn to select appropriate basis sets and density functional theory (DFT) methods for different types of chemical systems. * Practice setting up geometry optimizations, frequency calculations, and transition state searches for reaction pathways. * Apply computational methods to predict key molecular properties, including energies, vibrational spectra, and electronic transitions. * Configure and manage computational workflows for efficient batch processing and analysis of large output files. The course begins by establishing the core quantum mechanical concepts and mathematical frameworks used in computational chemistry. We then move step-by-step through practical application workflows, focusing on input file preparation and rigorous output interpretation. This course is designed for beginners in chemistry, chemical engineering, and materials science who need a strong foundation in computational modeling. No prior experience with quantum chemistry software is required. Begin your journey into the powerful world of molecular simulation today.