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Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Explores mass transfer coefficients in liquid and gas phases, with a focus on convective mass transfer around dissolving bubbles and experimental dynamics of granular systems.
Explores the aluminium-copper system, extraction processes, energy aspects, and 3D printing, including the Al-Cu system, phase diagrams, and the law of the lever.
Explores phase transitions in the Curie-Weiss model, illustrating the differences between second and first-order transitions and their relevance to real thermodynamic systems.