Multi-fidelity Generative Deep Learning Turbulent Flows

8 Jun 2020 Nicholas Geneva Nicholas Zabaras

In computational fluid dynamics, there is an inevitable trade off between accuracy and computational cost. Low-fidelity simulations with coarse discretizations are computationally inexpensive, however, the resulting flow fields are often inaccurate... (read more)

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