Lectures related to Statistical Mechanics: Boltzmann, Bose-Einstein, and Fermi-Dirac Statistics

Statistical Thermodynamics: Partition Functions and Quantum Statistics

Introduces partition functions, quantum statistics, and the Einstein model for molecular behavior.

Thermodynamic Transformations and Entropy

Explores thermodynamic transformations of ideal gases, heat capacity, entropy, and adiabatic processes.

Indistinguishable Particles in Quantum Mechanics

Explores indistinguishable particles in quantum mechanics, discussing symmetry, density matrix, quantum statistics, exclusion principle, and particle behavior.

Curie Weiss Model

Covers the Curie-Weiss model in Statistical Physics, including magnetization probability, free entropy, and the cavity method.

Kinetic Theory of Gases: Introduction

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

Quantum Mechanics: Free Carrier Concentration and Maxwell Distribution

Discusses quantum mechanics principles, focusing on free carrier concentration and Maxwell distribution in metals and gases.

Canonical Ensemble: Probability Distribution

Explores the probability distribution in the canonical ensemble and the Boltzmann distribution.

Probability and Statistics: Basics and Applications

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Entropy and Its Role in Thermodynamics

Explores the concept of entropy and its significance in thermodynamics.

Probability and Statistics for Physics

Introduces probability and statistics concepts in physics, exploring the Standard Model and practical applications.

Computational Quantum Physics

Covers the ground-state quantum Monte Carlo method and its statistical interpretation.

Entropy and the Joule Expansion: A Statistical Perspective

Covers the relationship between entropy and the Joule expansion, illustrating how microscopic states relate to macroscopic disorder.

Overview of Particle Physics and Rutherford Scattering

Covers the constituents of matter, fundamental forces, the Standard Model, natural units, and particle interaction experiments.

Markov Chain: Configuration Sampling

Introduces the concept of a Markov process and chain in configuration sampling.

Law of Large Numbers: Strong Convergence

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Chemical Equilibria and Reactivity

Explores chemical equilibria, entropy, and thermodynamic principles in advanced chemistry.

Statistical Physics: Isolated Systems and Entropy

Covers statistical physics, isolated systems, entropy, and the Boltzmann distribution.

Introduction to Symmetries

Covers perturbation theory, bosons, fermions, and quantum information in quantum systems.

Molecular dynamics under constraints

Explores molecular dynamics simulations under holonomic constraints, focusing on numerical integration and algorithm formulation.

Probability and Statistics

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.