Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence

no code implementations • 28 Feb 2019 • Arvind Mohan, Don Daniel, Michael Chertkov, Daniel Livescu

High-fidelity modeling of turbulent flows is one of the major challenges in computational physics, with diverse applications in engineering, earth sciences and astrophysics, among many others.

Fluid Dynamics Chaotic Dynamics Computational Physics