294 citations · 2.9k across the 83 of their papers we have counts for
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SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
Pu Ren, N. Benjamin Erichson, Junyi Guo +4
Super-resolution (SR) techniques aim to enhance data resolution, enabling the retrieval of finer details, and improving the overall quality and fidelity of the data representation.…
Accelerated evolution of Burgers turbulence with coarse projective integration and deep learning
Mrigank Dhingra, Omer San, Anne E. Staples
Simulating turbulence to stationarity is a major bottleneck in many engineering problems of practical importance. The problem can be cast as a multiscale problem involving energy r…
On the dual advantage of placing observations through forward sensitivity analysis
Shady E Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan +1
The four-dimensional variational data assimilation methodology for assimilating noisy observations into a deterministic model has been the workhorse of forecasting centers for over…
Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems
Shady E. Ahmed, Omer San
Model reduction by projection-based approaches is often associated with losing some of the important features that contribute towards the dynamics of the retained scales. As a resu…
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtman, Adil Rasheed, Trond Kvamsdal +21
This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It c…