Search Results for author: Shervin Sammak

Found 1 papers, 0 papers with code

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks

no code implementations6 Sep 2021 Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko1, Xiaowei Jia

Direct numerical simulation (DNS) of turbulent flows is computationally expensive and cannot be applied to flows with large Reynolds numbers.

Super-Resolution Vocal Bursts Intensity Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.