Adam Subel

Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2020, 2012.06664.

Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2021 .

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

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2022, ArXiv.

Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2022, Physica D: Nonlinear Phenomena.

Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2021, J. Comput. Phys..

Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

Yifei Guan, Ashesh Chattopadhyay, Pedram Hassanzadeh, 2020, Physics of Fluids.

Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2020, Journal of Advances in Modeling Earth Systems.

Explaining the physics of transfer learning in data-driven turbulence modeling

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2023, PNAS nexus.

Explaining the physics of transfer learning in data-driven turbulence modeling

A. Chattopadhyay, P. Hassanzadeh, Adam Subel, 2022, PNAS nexus.