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Molecular dynamics and integrators
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Related lectures (31)
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Statistical Mechanics: Boltzmann, Bose-Einstein, and Fermi-Dirac Statistics
Discusses Boltzmann, Bose-Einstein, and Fermi-Dirac statistics in statistical mechanics.
Monte Carlo Techniques: Sampling and Simulation
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.
Path integrals and statistical mechanics
Explores path integral methods, partition functions, Trotter factorization, quantum-classical isomorphism, and multidimensional generalization in statistical mechanics.
Statistical Physics IV: Part II
Delves into advanced statistical physics concepts, exploring complex systems behavior and dissipative dynamics.
Statistical Mechanics: Canonical Ensemble
Covers the canonical ensemble and harmonic oscillators in statistical mechanics.
Efficiency of Sampling: Ergodicity and Autocorrelation Functions
Explores the efficiency of sampling in molecular dynamics, focusing on ergodicity and autocorrelation functions.
Monte Carlo Moves in Simulation
Explores Monte Carlo moves in simulation, including trial moves and biased moves, comparing Monte Carlo with Molecular Dynamics.
Monte Carlo Simulations
Covers Monte Carlo simulations, ensemble properties, and numerical integration techniques.
Kinetic Theory of Gases: Introduction
Introduces the kinetic theory of gases, focusing on the microscopic description of gas components and the ideal gas law.
Chemical Equilibria and Reactivity
Explores chemical equilibria, entropy, and thermodynamic principles in advanced chemistry.
