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20172021
most citedCosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks

113 citations · 153 across the 6 of their papers we have counts for

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physics.comp-ph2020★ 20 cited

Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations

Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath +3

Simulation of turbulent flows at high Reynolds number is a computationally challenging task relevant to a large number of engineering and scientific applications in diverse fields…

physics.comp-ph2019

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

Rui Wang, Karthik Kashinath, Mustafa Mustafa +2

While deep learning has shown tremendous success in a wide range of domains, it remains a grand challenge to incorporate physical principles in a systematic manner to the design, t…