Monte Carlo Simulations

Related lectures (29)

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Covers ensembles, partition functions, and distributions in statistical thermodynamics.

Explores Boltzmann distribution, quantum particles, thermodynamic ensembles, and ensemble sampling methods.

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

Explores the statistical definition of entropy, adatoms on a surface, and mixing in a solid solution.

Covers the fundamentals of classical thermodynamics, from classical mechanics to statistical mechanics, and key thermodynamic variables.

Covers Maxwell's gas theory, focusing on ideal gas behavior and Earth's formation temperature analysis.

Covers advanced path integral methods for deriving efficient energy estimators in molecular dynamics simulations.

Explores the role of thermodynamics in cell biology, focusing on the connection between thermodynamics and cellular processes.

Introduces the kinetic theory of gases, focusing on the microscopic description of gas components and the ideal gas law.

Explores the microcanonical ensemble applied to a perfect gas and the statistical mean of physical quantities.