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

25 May 2017

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

8 / 8 papers shown

Title
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations Benwei Wu O. Hennigh Jan Kautz S. Choudhry Wonmin Byeon MLAU AI4CE 11 10 0 24 Feb 2022
Lettuce: PyTorch-based Lattice Boltzmann Framework M. Bedrunka D. Wilde Martin L. Kliemank D. Reith H. Foysi Andreas Krämer AI4CE 18 13 0 24 Jun 2021
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 21 44 0 08 Jun 2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks Zifeng Guo J. Leitão N. Simões V. Moosavi AI4CE 25 117 0 17 Apr 2020
From Deep to Physics-Informed Learning of Turbulence: Diagnostics Ryan N. King O. Hennigh A. Mohan Michael Chertkov AI4CE 12 57 0 16 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis M. A. Nabian Hadi Meidani PINN AI4CE 21 57 0 11 Oct 2018
Exascale Deep Learning for Climate Analytics Thorsten Kurth Sean Treichler Josh Romero M. Mudigonda Nathan Luehr ... Michael A. Matheson J. Deslippe M. Fatica P. Prabhat Michael Houston BDL 17 260 0 03 Oct 2018
Automated Design using Neural Networks and Gradient Descent O. Hennigh 29 8 0 27 Oct 2017