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

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

30 October 2023
Hugo Frezat
Ronan Fablet
G. Balarac
Julien Le Sommer
ArXivPDFHTML

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

5 / 5 papers shown
Title
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
PINN
AI4CE
38
0
0
30 Apr 2025
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed
  Neural Operators
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang
Julius Berner
Zongyi Li
Di Zhou
Jiayun Wang
Jane Bae
Anima Anandkumar
AI4CE
28
1
0
09 Aug 2024
Dynamic Deep Learning LES Closures: Online Optimization With Embedded
  DNS
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
Justin A. Sirignano
J. MacArt
AI4CE
19
7
0
04 Mar 2023
Enhancing Computational Fluid Dynamics with Machine Learning
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
98
353
0
05 Oct 2021
Bridging observation, theory and numerical simulation of the ocean using
  Machine Learning
Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4Cl
AI4CE
38
99
0
26 Apr 2021
1