Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Covers the theory and practical aspects of Monte Carlo simulations in molecular dynamics, including ensemble averages and Metropolis algorithm.
Explores quantum correlation functions and their role in molecular dynamics simulations, including the reconstruction of standard correlation functions from Kubo-transformed ones.
Covers Hybrid QM/MM Approaches, explaining system partitioning, MM potential forms, and practical QM/MM implementation.
Covers the basics of Molecular Dynamics, including Verlet integrator and periodic boundary conditions.
