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Explores the properties and behaviors of magnetic materials like ferromagnetic, paramagnetic, and diamagnetic materials, discussing magnetic susceptibility and permeability.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Covers the basic concepts of exchange interaction in magnetic materials, including discrimination between different magnetic materials and critical temperatures.
Explores phase transitions in the Curie-Weiss model, illustrating the differences between second and first-order transitions and their relevance to real thermodynamic systems.
