58 citations · 115 across the 4 of their papers we have counts for
4 papers
Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence
Arvind T. Mohan, Nicholas Lubbers, Daniel Livescu +1
In the recent years, deep learning approaches have shown much promise in modeling complex systems in the physical sciences. A major challenge in deep learning of PDEs is enforcing…
Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence
Arvind Mohan, Don Daniel, Michael Chertkov +1
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…
High-order two-fluid plasma solver for direct numerical simulations of plasma flows with full transport phenomena
Z. Li, D. Livescu
The two-fluid plasma equations for a single ion species, with full transport terms, including temperature and magnetic field dependent ion and electron viscous stresses and heat fl…
Effects of Isothermal Stratification Strength on Vorticity Dynamics for Single-Mode Compressible Rayleigh-Taylor Instability
Scott A. Wieland, Peter E. Hamlington, Scott J. Reckinger +1
The effects of isothermal stratification strength on vorticity dynamics for single-mode Rayleigh-Taylor instability (RTI) are examined using two dimensional fully compressible wave…