Computational Physics
Explore the essentials of computational physics in this course. It covers key computational techniques from basic arithmetic to solving the Schrödinger equation, addressing methods like minimization, atomistic simulations, and molecular dynamics. You'll also learn about algorithms such as the Barnes Hut and Fast Multipole Methods, and delve into Monte Carlo simulations.
Simulating Electronic Structure
This lecture covers key aspects of simulating electronic structure. You will learn techniques such as the Born-Oppenheimer approximation, Hartree-Fock method, and Quantum Monte Carlo. Discover how Density Functional methods, Tight Binding methods, and Linear Scaling algorithms can enhance electronic structure calculations.
Statistical Physics
Explore the depths of statistical physics in our detailed lecture, which covers everything from basic probability theory to advanced Monte Carlo Methods. Delve into thermodynamics, phase transitions, and the microscopic behaviour of matter. This lecture offers a thorough understanding of the statistical mechanics shaping our world.
Literature:
- Dill and Bromberg: Molecular Driving Forces
- M. Tuckermann: Statistical Mechanics: Theory and Molecular Simulation
- J. P. Sethna: Entropy, Order Parameters and Complexity
- D. Chandler: Introduction to Modern Statistical Mechanics
- E. S. Velasco: Fundamentals of Thermodynamics and Statistical Mechanics