Rayleigh-Bénard convection data for publication "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

This dataset contains the full set of Rayleigh–Bénard convection simulations generated using the Dedalus spectral solver, as described in the Nature Communications article titled "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems." These simulations were used to train and validate the latent neural operator framework introduced in the paper.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15276383
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Rayleigh-Bénard convection data for publication "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
article

Rayleigh-Bénard convection data for publication "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

article en

Abstract

This dataset contains the full set of Rayleigh–Bénard convection simulations generated using the Dedalus spectral solver, as described in the Nature Communications article titled "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems." These simulations were used to train and validate the latent neural operator framework introduced in the paper.

Zenodo (CERN European Organization for Nuclear Research)
Johns Hopkins University (US)
Openalex Percentile: Top 62%
Model Reduction and Neural Networks
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Rayleigh-Bénard convection data for publication "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems." · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS