Partition function (mathematics)

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Explores statistical physics concepts like equiprobable microstates, entropy, and canonical ensembles, with applications in quantum mechanics and semiconductor physics.

Quantum Statistics: Canonical & Grand Canonical Ensembles

Explores quantum statistics in canonical and grand canonical ensembles, discussing distinguishability, microstates, and the Pauli exclusion principle.

Statistical Thermodynamics

Explores the derivation of internal energy from the partition function and the concept of entropy in statistical thermodynamics.

Statistical Mechanics: Microscopic-Macroscopic Systems

Explores the link between microscopic and macroscopic systems, ensembles, probability distributions, entropy, and energy distribution.

Grand Canonical and Isothermal Ensembles

Explores the grand canonical and isothermal isobaric ensembles and their thermodynamic implications.

Euclidean Path Integral: Introduction and Applications

Introduces the Euclidean path integral and its applications in quantum field theory and statistical mechanics.

Path Integral Methods: Efficient Energy Estimators

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

Constructing Correlators with Path Integrals

Explores constructing correlators using path integrals in quantum mechanics, focusing on the Euclidean and Minkowski spaces and the significance of imaginary time evolution.

Path Integral Methods: Convergence and Computational Techniques

Covers path integral methods, focusing on convergence and computational techniques for quantum systems.

Ensembles and Partition Functions

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