Computational Quantum Chemistry: DFT and Molecular Structure Analysis

Do you need to predict the properties of molecules or materials without expensive lab work? Computational Quantum Mechanics provides the powerful tools to model chemical systems accurately. This course provides a foundational understanding of the theories behind modern computational chemistry methods, focusing on the practical application of electronic structure software. You will learn the entire workflow, from building a molecular structure to selecting appropriate methods and basis sets, running calculations (like geometry optimizations and vibrational frequency analysis), and interpreting the resulting chemical data. What you'll learn: * Understand the fundamental principles of quantum mechanics relevant to chemical bonding and molecular structure. * Apply Density Functional Theory (DFT) methods to optimize molecular geometries and calculate electronic energies. * Configure appropriate basis sets and functionals based on the chemical system and desired accuracy. * Practice setting up calculations for key chemical properties, including vibrational frequencies and thermochemical data. * Analyze calculation outputs to determine reaction barriers (transition states) and predict spectroscopic signatures. * Interpret molecular orbitals and electronic structure to gain insights into reactivity and stability. The material begins with core terminology and the mathematical basis of QM before moving into practical computational setup. We walk through the necessary steps for common calculations used in chemical research, emphasizing robust data interpretation and quality control. This course is designed for absolute beginners in computational chemistry, including students, chemists, and chemical engineers. No prior experience with quantum mechanics software is required. Start modeling chemical systems and predicting molecular behavior today.