Rayleigh-Bénard convection data for publication "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Year: 2025
Type: article
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.
Author: Kontolati, Katiana
Institution: Johns Hopkins University
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949579665
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