Lectures related to PM Flows: Existence

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Discusses challenges in determining system entropy and multiple contributions to specific heat.

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

Explores optimal transport theory with a focus on heat equations and Wasserstein distance.

Covers thermodynamic diagrams in Rankine cycles, emphasizing T-s and P-h diagrams and their role in energy conversion.

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