
MS092A Machine Learning-based Latent-Space Models for Multiscale Simulations I
MS Corresponding Organizer: Dr. Wouter Edeling ( Centrum Wiskunde & Informatica , Netherlands )
Chaired by:
Dr. Wouter Edeling (Centrum Wiskunde & Informatica , Netherlands) , Dr. Maxime Vassaux (CNRS , France)
Dr. Wouter Edeling (Centrum Wiskunde & Informatica , Netherlands) , Dr. Maxime Vassaux (CNRS , France)
Scheduled presentations:
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Data-assimilation closure for low-dimensional fluid models
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New Low-Dimensional Closure Models for Turbulence
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A-priori Energy-Biased Training for the Prediction of Closure Terms of the VMS Navier-Stokes Equations
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Accelerating Multiscale Modeling of Delamination With a Suite of Surrogate Models
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Active learning of constitutive surrogate models from molecular dynamics simulations
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Identifying active subspaces in molecular dynamics using machine learning