Lectures related to Entropy (statistical thermodynamics)

Entropy and the Second Law of Thermodynamics

Covers entropy, its definition, and its implications in thermodynamics.

Cosmological Constraints on Neutrino Masses

Explores Boltzmann H-theorem, entropy conservation, neutrino freezing, nucleosynthesis, and cosmological constraints.

Explores statistical entropy and disorder in isolated systems, including kinetic gases and calorimetric coefficients.

Explores entropy, ideal gases, and TDS equations in thermodynamics, emphasizing the importance of the Clausius inequality and the Carnot cycle.

Thermodynamic Transformations and Entropy

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

Random Field Ising Model: Overview and Analysis

Provides an in-depth analysis of the Random Field Ising Model, covering model description, free entropy, and mean field algorithm.

Statistical Definition of Entropy: Microstates and Macrostates

Covers microstates, macrostates, entropy, and density of states in statistical mechanics.

Thermodynamic Identity: Entropy and Energy

Explores the thermodynamic identity, entropy-temperature relationship, and pressure definition, illustrating key principles with practical examples.

Replica Symmetry Breaking: Full Solution & Condensation

Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.

Chapter 3: Entropy of Subsystems

Covers entropy in subsystems, reversible processes, equilibrium, and simple systems.

Entropy in Neuroscience and Ecology

Delves into entropy in neuroscience data and ecology, exploring the representation of sensory information and the diversity of biological populations.

Second Principle: Entropy

Explores the second principle of thermodynamics, emphasizing entropy's role in system evolution and equilibrium.

Information Measures

Covers information measures like entropy and Kullback-Leibler divergence.

Variational Formulation: Information Measures

Explores variational formulation for measuring information content and divergence between probability distributions.

Statistical Thermodynamics: Microcanonical and Canonical Ensembles

Explores the microcanonical and canonical ensembles, historical contributions, macrostates, microstates, and particle arrangements in statistical thermodynamics.

Information Measures

Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.

Energy Minimization in Biological Systems: Equilibrium Models

Covers energy minimization models in biological systems, focusing on equilibrium and the roles of entropy and hydrophobicity.

Bipartite systems - Entanglement

Covers the concept of entanglement in bipartite systems, focusing on entropy and Schmidt decomposition.

Graph Coloring: Random vs Symmetrical

Compares random and symmetrical graph coloring in terms of cluster colorability and equilibrium.

Nucleosynthesis and Neutrino Decoupling

Explores entropy evolution, temperature changes, element creation, and neutrino decoupling in the early Universe.