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Learned Turbulence Modelling with Differentiable Fluid Solvers:
  Physics-based Loss-functions and Optimisation Horizons
v1v2 (latest)

Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons

Journal of Fluid Mechanics (JFM), 2022
14 February 2022
Bjorn List
Li-Wei Chen
Nils Thuerey
ArXiv (abs)PDFHTML

Papers citing "Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons"

18 / 18 papers shown
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei
Aleksandra Franz
Bjoern List
Nils Thuerey
PINNAI4CE
388
0
0
16 Nov 2025
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
Yiheng Du
Aditi Krishnapriyan
AI4CE
136
0
0
28 Oct 2025
DyMixOp: Guiding Neural Operator Design for PDEs from a Complex Dynamics Perspective with Local-Global-Mixing
DyMixOp: Guiding Neural Operator Design for PDEs from a Complex Dynamics Perspective with Local-Global-Mixing
Pengyu Lai
Yixiao Chen
Hui Xu
AI4CE
131
0
0
19 Aug 2025
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
François Rozet
Ruben Ohana
Michael McCabe
Gilles Louppe
F. Lanusse
S. Ho
DiffM
250
7
0
03 Jul 2025
PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics
PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid DynamicsJournal of Computational Physics (JCP), 2025
Aleksandra Franz
Hao Wei
Luca Guastoni
Nils Thuerey
AI4CE
293
1
0
22 May 2025
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
Luning Sun
Xin-Yang Liu
Siyan Zhao
Aditya Grover
Jian-Xun Wang
Jayaraman J. Thiagarajan
AI4CE
306
1
0
08 Apr 2025
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
Sheel Nidhan
Haoliang Jiang
Lalit Ghule
C. Umphrey
Rishikesh Ranade
Jay Pathak
AI4CE
526
0
0
26 Aug 2024
Coarse Graining with Neural Operators for Simulating Chaotic Systems
Coarse Graining with Neural Operators for Simulating Chaotic Systems
Chuwei Wang
Julius Berner
Zongyi Li
Di Zhou
Jiayun Wang
Jane Bae
Anima Anandkumar
AI4CE
592
4
0
09 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
265
114
0
09 Jul 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid
  Neural Modeling
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
Deepak Akhare
Tengfei Luo
Jian-Xun Wang
237
9
0
30 Dec 2023
Probabilistic Physics-integrated Neural Differentiable Modeling for
  Isothermal Chemical Vapor Infiltration Process
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Processnpj Computational Materials (npj Comput Mater), 2023
Deepak Akhare
Zeping Chen
R. Gulotty
Tengfei Luo
Jian-Xun Wang
AI4CE
261
13
0
13 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators
Gradient-free online learning of subgrid-scale dynamics with neural emulators
Hugo Frezat
Ronan Fablet
G. Balarac
Julien Le Sommer
438
6
0
30 Oct 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent
  Flow Simulation
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Georg Kohl
Li-Wei Chen
Nils Thuerey
AI4CEDiffM
347
50
0
04 Sep 2023
A probabilistic, data-driven closure model for RANS simulations with
  aleatoric, model uncertainty
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertaintyJournal of Computational Physics (JCP), 2023
A. Agrawal
P. Koutsourelakis
AI4CE
186
17
0
05 Jul 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural
  Stochastic Differential Equations
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential EquationsNeural Information Processing Systems (NeurIPS), 2023
Anudhyan Boral
Z. Y. Wan
Leonardo Zepeda-Núñez
James Lottes
Qing Wang
Yi-fan Chen
John R. Anderson
Fei Sha
AI4CEPINN
229
16
0
01 Jun 2023
A Multifidelity deep operator network approach to closure for multiscale
  systems
A Multifidelity deep operator network approach to closure for multiscale systemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Shady E. Ahmed
P. Stinis
AI4CE
222
21
0
15 Mar 2023
Solving Inverse Physics Problems with Score Matching
Solving Inverse Physics Problems with Score MatchingNeural Information Processing Systems (NeurIPS), 2023
Benjamin Holzschuh
S. Vegetti
Nils Thuerey
DiffM
193
14
0
24 Jan 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
S. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINNAI4CE
262
68
0
14 Nov 2022
1
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