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Physics-Informed Gaussian Processes With Localized Features for Topology Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. We introduce a simultaneous and meshfree topology optimization (TO) framework based on physics-informed Gaussian processes (GPs). In our approach, we parameterize all design and state variables via GP priors which ...
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