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20112023
most citedSub-grid modelling for two-dimensional turbulence using neural networks

294 citations · 2.9k across the 83 of their papers we have counts for

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Showing 2020 · physics.comp-phShow all

5 papers · 2 filters

physics.comp-ph2020★ 15 cited

Interface learning in fluid dynamics: statistical inference of closures within micro-macro coupling models

Suraj Pawar, Shady E. Ahmed, Omer San

Many complex multiphysics systems in fluid dynamics involve using solvers with varied levels of approximations in different regions of the computational domain to resolve multiple…

physics.comp-ph2020

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction

Shady Ahmed, Suraj Pawar, Omer San +2

We put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements for air traffic improv…

physics.comp-ph2020★ 9 cited

Interface learning of multiphysics and multiscale systems

Shady E. Ahmed, Omer San, Kursat Kara +2

Complex natural or engineered systems comprise multiple characteristic scales, multiple spatiotemporal domains, and even multiple physical closure laws. To address such challenges,…

physics.comp-ph2020★ 9 cited

Data assimilation empowered neural network parameterizations for subgrid processes in geophysical flows

Suraj Pawar, Omer San

In the past couple of years, there is a proliferation in the use of machine learning approaches to represent subgrid scale processes in geophysical flows with an aim to improve the…

physics.comp-ph2020★ 62 cited

Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows

Suraj Pawar, Shady E. Ahmed, Omer San +2

Reduced rank nonlinear filters are increasingly utilized in data assimilation of geophysical flows, but often require a set of ensemble forward simulations to estimate forecast cov…