Explores energy flow and critical points in statistical physics, emphasizing the importance of understanding correlation functions and critical exponents.
Covers gas/particle partitioning of inorganic compounds and organic compounds, aerosol water content, photochemical production of OH, and nitrate aerosols.
Covers optimization techniques in machine learning, focusing on convexity, algorithms, and their applications in ensuring efficient convergence to global minima.
Explores the Nobel Prize-winning discovery of replica and cavity methods in complex systems, focusing on the random energy model and the application of probability theory.
