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Long-term stability and generalization of observationally-constrained
  stochastic data-driven models for geophysical turbulence

Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence

9 May 2022
A. Chattopadhyay
Jaideep Pathak
Ebrahim Nabizadeh
W. Bhimji
P. Hassanzadeh
    BDL
ArXivPDFHTML

Papers citing "Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence"

2 / 2 papers shown
Title
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural
  Stochastic Differential Equations
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral
Z. Y. Wan
Leonardo Zepeda-Núnez
James Lottes
Qing Wang
Yi-fan Chen
John R. Anderson
Fei Sha
AI4CE
PINN
16
11
0
01 Jun 2023
Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
Adam Subel
Yifei Guan
A. Chattopadhyay
P. Hassanzadeh
AI4CE
27
41
0
07 Jun 2022
1