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Showing 1 to 2 of 2 for “"Process-Structure-Property Linkage"”.
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Computational and Machine Learning-Reinforced Modeling and Design of Materials under Uncertainty
… aims to develop new methodologies to design microstructures under inherent material uncertainty by incorporating machine learning techniques. To achieve this objective, the study addresses gradient-based and machine learning-driven design optimization methods to enhance homogenized linear and …
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Data-driven PSP linkages for atomistic datasets
… models. The development of quantitative “process-structure-property” (PSP) linkages for atomistic simulations presents a powerful route to convert atomistic simulation data into actionable knowledge. Here, a framework is presented for quantifying structure from these simulations in full- …