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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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(PDEs). Our goal is to design finite-dimensional controllers that are not only straightforward to implement but also robust against real-world imperfections, including system disturbances, measurement
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