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Gradient-free online learning of subgrid-scale dynamics with neural
  emulators
v1v2v3 (latest)

Gradient-free online learning of subgrid-scale dynamics with neural emulators

30 October 2023
Hugo Frezat
Ronan Fablet
G. Balarac
Julien Le Sommer
ArXiv (abs)PDFHTML

Papers citing "Gradient-free online learning of subgrid-scale dynamics with neural emulators"

4 / 4 papers shown
Title
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
280
0
0
16 Nov 2025
A general physics-constrained method for the modelling of equation's closure terms with sparse data
A general physics-constrained method for the modelling of equation's closure terms with sparse data
Tian Chen
Shengping Liu
Li Liu
Heng Yong
PINNAI4CE
186
0
0
30 Apr 2025
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
463
4
0
09 Aug 2024
Differentiable Turbulence: Closure as a partial differential equation
  constrained optimization
Differentiable Turbulence: Closure as a partial differential equation constrained optimization
Varun Shankar
Dibyajyoti Chakraborty
V. Viswanathan
R. Maulik
AI4CE
202
1
0
07 Jul 2023
1