195 citations · 458 across the 33 of their papers we have counts for
3 papers · 1 filter
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh +1
Analyzing large-scale data from simulations of turbulent flows is memory intensive, requiring significant resources. This major challenge highlights the need for data compression t…
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh +1
We use a data-driven approach to model a three-dimensional turbulent flow using cutting-edge Deep Learning techniques. The deep learning framework incorporates physical constraints…
Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers
Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh +1
Analyzing large-scale data from simulations of turbulent flows is memory intensive, requiring significant resources. This major challenge highlights the need for data compression t…