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20132023
most citedA fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

208 citations · 894 across the 25 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg +4

This work is the first to employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN) towards learning a forward and an inve…

math.NA2021★ 50 cited

Reduced order models for Lagrangian hydrodynamics

Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh +1

As a mathematical model of high-speed flow and shock wave propagation in a complex multimaterial setting, Lagrangian hydrodynamics is characterized by moving meshes, advection-domi…