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assessment under application-relevant conditions for separation technologies, this project aims to accelerate the identification of novel materials for CO2 capture Specifically, this PhD project combines
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mutual agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen
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the data. Job description This PhD project focuses on developing learning-based strategies for accelerated data acquisition, physics-informed image reconstruction, and quantitative inference
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