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    Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 004:;page 41701-1
    Author(s): Ferguson, Kevin; Chen, Yu-hsuan; Chen, Yiming; Gillman, Andrew; Hardin, James; Burak Kara, Levent
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Machine-learned surrogate models to accelerate lengthy computer simulations are becoming increasingly important as engineers look to streamline the product design cycle. In many cases, these approaches offer the ability ...
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    Scalar Field Prediction on Meshes Using Interpolated Multiresolution Convolutional Neural Networks 

    Source: Journal of Applied Mechanics:;2024:;volume( 091 ):;issue: 010:;page 101002-1
    Author(s): Ferguson, Kevin; Gillman, Andrew; Hardin, James; Kara, Levent Burak
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Scalar fields, such as stress or temperature fields, are often calculated in shape optimization and design problems in engineering. For complex problems where shapes have varying topology and cannot be parametrized, ...
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