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Deep Learning for Efficient Reconstruction of High-Resolution Turbulent
  DNS Data

Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data

21 October 2020
Pranshu Pant
A. Farimani
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data"

3 / 3 papers shown
Title
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
19
104
0
26 Jan 2023
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffM
AI4CE
35
125
0
26 Nov 2022
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
198
5,176
0
16 Sep 2016
1