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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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phase-field models
Nonlinear energy stability for phase-field models: Numerics and analysis
Prof. Tao Tang
Dec 5, 16:00
-
17:00
B5 L5 R5209
phase-field models
Coffee Time: 15:30 - 16:00. The phase-field model, a powerful modeling tool for dealing with interface problems, has been widely used in various fields such as computational physics, computational biology, materials engineering, and even image processing. The dissipation of free energy is an important and fundamental property of the phase-field model.