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JAX-FLUIDS: A fully-differentiable high-order computational fluid
  dynamics solver for compressible two-phase flows

JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

25 March 2022
Deniz A. Bezgin
Aaron B. Buhendwa
Nikolaus A. Adams
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows"

12 / 12 papers shown
Title
Consistent and symmetry preserving data-driven interface reconstruction
  for the level-set method
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
Aaron B. Buhendwa
Deniz A. Bezgin
Nikolaus Adams
AI4CE
34
9
0
23 Apr 2021
Machine learning accelerated computational fluid dynamics
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
AI4CE
128
872
0
28 Jan 2021
Inferring incompressible two-phase flow fields from the interface motion
  using physics-informed neural networks
Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
Aaron B. Buhendwa
Stefan Adami
Nikolaus A. Adams
AI4CEPINN
27
35
0
25 Jan 2021
Solver-in-the-Loop: Learning from Differentiable Physics to Interact
  with Iterative PDE-Solvers
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um
R. Brand
Yun Fei
Fei
Philipp Holl
N. Thürey
AI4CE
54
273
0
30 Jun 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
156
14,986
0
18 Jun 2020
Enhancement of shock-capturing methods via machine learning
Enhancement of shock-capturing methods via machine learning
Ben Stevens
T. Colonius
37
46
0
06 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
526
42,559
0
03 Dec 2019
DPM: A deep learning PDE augmentation method (with application to
  large-eddy simulation)
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
Jonathan B Freund
J. MacArt
Justin A. Sirignano
AI4CE
149
136
0
20 Nov 2019
Machine Learning for Fluid Mechanics
Machine Learning for Fluid Mechanics
Steven Brunton
B. R. Noack
Petros Koumoutsakos
AI4CEPINN
87
2,127
0
27 May 2019
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINNAI4CEODL
168
2,814
0
20 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
1