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

7 June 2022

A. Chattopadhyay

Papers citing "Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow"

14 / 14 papers shown

Title
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence Moein Darman P. Hassanzadeh Laure Zanna A. Chattopadhyay 20 0 0 21 Apr 2025
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision Jakin Ng Yongjian Wang Ching-Yao Lai 38 1 0 24 Jul 2024
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed H. Pahlavan P. Hassanzadeh M. J. Alexander 28 0 0 07 Jul 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 40 18 0 14 Jan 2024
Multiple Physics Pretraining for Physical Surrogate Models Michael McCabe Bruno Régaldo-Saint Blancard Liam Parker Ruben Ohana M. Cranmer ... Francois Lanusse Mariel Pettee Tiberiu Teşileanu Kyunghyun Cho Shirley Ho PINN AI4CE 23 51 0 04 Oct 2023
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case R. Mojgani A. Chattopadhyay P. Hassanzadeh 27 7 0 22 Sep 2023
Fine-Tune Language Models as Multi-Modal Differential Equation Solvers Liu Yang Siting Liu Stanley J. Osher 19 0 0 09 Aug 2023
A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields Carlos Granero Belinchon Manuel Cabeza Gallucci SyDa GAN 22 1 0 31 Jul 2023
Differentiable Turbulence: Closure as a partial differential equation constrained optimization Varun Shankar Dibyajyoti Chakraborty V. Viswanathan R. Maulik AI4CE 13 1 0 07 Jul 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani A. Chattopadhyay P. Hassanzadeh AI4Cl AI4CE 22 14 0 08 Jun 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 17 68 0 01 Jun 2023
In-Context Operator Learning with Data Prompts for Differential Equation Problems Liu Yang Siting Liu Tingwei Meng Stanley J. Osher 27 53 0 17 Apr 2023
Efficiently Computing Sparse Fourier Transforms of $q$ -ary Functions Y. E. Erginbas Justin Kang Amirali Aghazadeh Kannan Ramchandran 17 6 0 15 Jan 2023
Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics C. Granero-Belinchón 9 4 0 21 Nov 2022