455 citations · 1.6k across the 28 of their papers we have counts for
7 papers · 1 filter
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
Karan Jakhar, Yifei Guan, Rambod Mojgani +2
There is growing interest in discovering interpretable, closed-form equations for subgrid-scale (SGS) closures/parameterizations of complex processes in Earth systems. Here, we app…
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
Ashesh Chattopadhyay, Y. Qiang Sun, Pedram Hassanzadeh
Long-term stability and physical consistency are critical properties for AI-based weather models if they are going to be used for subseasonal-to-seasonal forecasts or beyond, e.g.,…
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
Adam Subel, Yifei Guan, Ashesh Chattopadhyay +1
Transfer learning (TL) is becoming a powerful tool in scientific applications of neural networks (NNs), such as weather/climate prediction and turbulence modeling. TL enables out-o…
Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES
Yifei Guan, Adam Subel, Ashesh Chattopadhyay +1
We demonstrate how incorporating physics constraints into convolutional neural networks (CNNs) enables learning subgrid-scale (SGS) closures for stable and accurate large-eddy simu…
Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning
Yifei Guan, Ashesh Chattopadhyay, Adam Subel +1
There is a growing interest in developing data-driven subgrid-scale (SGS) models for large-eddy simulation (LES) using machine learning (ML). In a priori (offline) tests, some rece…
Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning
Adam Subel, Ashesh Chattopadhyay, Yifei Guan +1
Developing data-driven subgrid-scale (SGS) models for large eddy simulations (LES) has received substantial attention recently. Despite some success, particularly in a priori (offl…
Spline-based Interface Modeling and Optimization (SIMO) for Surface Tension and Contact Angle Measurements
Karan Jakhar, Ashesh Chattopadhyay, Atul Thakur +1
Surface tension and contact angle measurements are fundamental characterization techniques relevant to thermal and fluidic applications. Drop shape analysis techniques for the meas…