Poster: Fourier Neural Operators for Rayleigh–Bénard Convection (Best Poster Award)
Year: 2026
Type: article
Abstract: At ICCS 2026, we presented our poster, 'Fourier Neural Operators for Rayleigh–Bénard Convection', which introduces an improved Fourier Neural Operator (FNO) for modelling two-dimensional turbulent Rayleigh–Bénard convection. By predicting time increments rather than full solution fields, our approach achieves higher accuracy than a standard FNO baseline while maintaining computational efficiency. We are honoured that the work was recognised with the Best Poster Award.
Source: ATML Accelerating Devices
Author: Chelsea John
Institution: Forschungszentrum Jülich
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7171547898
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