Multi-fidelity Generative Deep Learning Turbulent Flows [FoDS][ArXiv]

Nicholas Geneva, Nicholas Zabaras

A novel multi-fidelity deep generative model is introduced for the surrogate modeling of high-fidelity turbulent flow fields given the solution of a computationally inexpensive but inaccurate low-fidelity solver.

• Getting Started
• Documentation
• Data Repository

• Python 3.6.5
• PyTorch 1.6.0
• Matplotlib 3.1.1
• SciPy 1.5.2
• Dataclasses 0.7.0

See requirements.txt for full dependency list.

Find this useful or like this work? Cite us with:

    @article{geneva2020multi,
        title={Multi-fidelity Generative Deep Learning Turbulent Flows},
        author={Geneva, Nicholas and Zabaras, Nicholas},
        journal={arXiv preprint arXiv:2006.04731},
        year={2020}
    }