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use for materials design. To address this challenge, the project will combine molecular dynamics-generated synthetic microstructures, physics-based forward diffraction models, and generative AI
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, and conducting experiments to deepen our understanding of the microstructure-property-process relationship. Contribute to ongoing projects rather than focusing on a singular research area, student
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into addressable microstructures, exploiting the principles of crisscross assembly innovated in our lab. In addition to carrying out research, the successful candidate will be expected to apply for fellowship
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