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cs.LG2023
TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature
Jun Park, Changhoon Lee
A data-driven model for predicting the surface temperature using neural networks was proposed to alleviate the computational burden of numerical weather prediction (NWP). Our model…
physics.flu-dyn2023★ 1 cited
Prediction and control of two-dimensional decaying turbulence using generative adversarial networks
Jiyeon Kim, Junhyuk Kim, Changhoon Lee
With the recent rapid developments in machine learning (ML), several attempts have been made to apply ML methods to various fluid dynamics problems. However, the feasibility of ML…