Lectures related to Proteins and Cooperativity in Ligand Binding Models

Explores statistical mechanics models, crowding in E. coli, and subcellular organization.

Explores biophysics, focusing on physical principles in cellular systems and the nature of living systems, cells, and bacteria.

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

Covers Imaginary-Time Path Integrals, classical and quantum systems, convergence in simulations, and integration schemes for molecular dynamics.

Explores the Euclidean path integral formalism, with a focus on the harmonic oscillator.

Covers Euclidean path integrals and the thermal partition function in Quantum Field Theory.

Covers the transition from quantum to classical mechanics, statistical mechanics, Monte Carlo simulations, and molecular dynamics simulations.

Covers the fundamentals of statistical mechanics, including system parameters, variables, and thermal equilibrium.

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

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

Delves into the effects of molecular crowding on cellular processes.

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

Explores the high-temperature expansion of the Ising model in 2D square lattice.

Explores spherical symmetry in statistical mechanics and its role in phase transitions.

Covers the concepts of energy types, entropy, second principle, and Gibbs free energy.

Covers the definition of Gibbs measures, proper kernels, compatibility, phase transitions, and existence conditions.

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

Covers the basics of particle physics and the concept of ß function in statistical mechanics.

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

Covers the theory and practical aspects of Monte Carlo simulations in molecular dynamics, including ensemble averages and Metropolis algorithm.