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Explores binary systems, phase diagrams, and elastic properties in materials science, emphasizing phase equilibria and material behavior under deformation.
Explores phase transitions in physics and computational problems, highlighting challenges faced by algorithms and the application of physics principles in understanding neural networks.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Explores phase diagrams, solid solutions, and phase transitions in materials science, focusing on the significance of alloy microstructures and phase fractions.
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.
