Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence

High-fidelity direct numerical simulation of turbulent flows for most real-world applications remains an outstanding computational challenge. Several machine learning approaches have recently been proposed to alleviate the computational cost even though they become unstable or unphysical for long ti...

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Hauptverfasser:	Atif, Mohammad, Dubey, Pulkit, Aghor, Pratik P, Lopez-Marrero, Vanessa, Zhang, Tao, Sharfuddin, Abdullah, Yu, Kwangmin, Yang, Fan, Ladeinde, Foluso, Liu, Yangang, Lin, Meifeng, Li, Lingda
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Chaotic Dynamics Physics - Fluid Dynamics
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