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Mesoscale Investigation of Dislocation-Grain Boundary Interactions in Metals And Alloys

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Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys

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Understanding diffusion in complex materials using machine learning and a variational approach

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Microstructure-Aware Bayesian Materials Discovery

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Integrating Autonomous Systems for Advanced Material Discovery: Bridging Experiments and Theory Through Optimized Rewards

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Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery

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Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces

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Learning dislocation dynamics with graph neural networks

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