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Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The presence of gaps and spurious nonphysical artifacts in datasets is a nearly ubiquitous problem in many scientific and engineering domains. In the context of multiphysics numerical models, data gaps may arise from lack ...
Machine-Learning Metacomputing for Materials Science Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Materials science requires the collection and analysis of great quantities of data. These data almost invariably require various post-acquisition computation to remove noise, classify observations, fit parametric models, ...
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