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Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep
  Neural Networks

Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks

25 May 2017
O. Hennigh
    AI4CE
ArXivPDFHTML

Papers citing "Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks"

5 / 5 papers shown
Title
Physics Informed RNN-DCT Networks for Time-Dependent Partial
  Differential Equations
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
Benwei Wu
O. Hennigh
Jan Kautz
S. Choudhry
Wonmin Byeon
MLAU
AI4CE
4
10
0
24 Feb 2022
Lettuce: PyTorch-based Lattice Boltzmann Framework
Lettuce: PyTorch-based Lattice Boltzmann Framework
M. Bedrunka
D. Wilde
Martin L. Kliemank
D. Reith
H. Foysi
Andreas Krämer
AI4CE
8
13
0
24 Jun 2021
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep
  Convolutional Neural Networks
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo
J. Leitão
N. Simões
V. Moosavi
AI4CE
9
117
0
17 Apr 2020
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINN
AI4CE
11
57
0
11 Oct 2018
Automated Design using Neural Networks and Gradient Descent
Automated Design using Neural Networks and Gradient Descent
O. Hennigh
19
8
0
27 Oct 2017
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