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20162024
most citedModel-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs

56 citations · 219 across the 27 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

physics.geo-ph2022★ 2 cited

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images

Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin +2

With the growing global deployment of carbon capture and sequestration technology to combat climate change, monitoring and detection of potential CO2 leakage through existing or st…

physics.geo-ph2022★ 14 cited

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection

Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot +2

Geological carbon storage represents one of the few truly scalable technologies capable of reducing the CO2 concentration in the atmosphere. While this technology has the potential…

eess.IV2022★ 2 cited

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging

Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

Photoacoustic imaging (PAI) can image high-resolution structures of clinical interest such as vascularity in cancerous tumor monitoring. When imaging human subjects, geometric rest…

math.SP2022★ 4 cited

A simulation-free seismic survey design by maximizing the spectral gap

Yijun Zhang, Mathias Louboutin, Ali Siahkoohi +3

Due to the tremendous cost of seismic data acquisition, methods have been developed to reduce the amount of data acquired by designing optimal missing trace reconstruction algorith…

cs.LG2022★ 56 cited

Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs

Thomas J. Grady, Rishi Khan, Mathias Louboutin +5

Fourier neural operators (FNOs) are a recently introduced neural network architecture for learning solution operators of partial differential equations (PDEs), which have been show…

physics.comp-ph2022★ 6 cited

Accelerating innovation with software abstractions for scalable computational geophysics

Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi +4

We present the SLIM (https://github.com/slimgroup) open-source software framework for computational geophysics, and more generally, inverse problems based on the wave-equation (e.g…