Multifidelity Modeling Using Nondeterministic Localized Galerkin Approach

What is it about?

Building a prediction model of an engineering system often requires too many simulation data samples to generate with available resources and limited time. To reduce the time and computational resources needed, we proposed a method that can transform cheap data with low accuracy into high accuracy data and use them into prediction modeling.

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