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Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow.

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Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning., , , and . J. Comput. Phys., (2022)Research on Comprehensive Evaluation of Multienergy Complementary Integrated Energy System., , , , , , , , , and 2 other author(s). ICCAIS, page 997-1001. IEEE, (2021)Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence., , , , and . CoRR, (2023)Interactive Visual Analytics Application for Spatiotemporal Movement Data VAST Challenge 2017 Mini-Challenge 1: Award for Actionable and Detailed Analysis., and . VAST, page 195-196. IEEE Computer Society, (2017)Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow., , , and . CoRR, (2022)Understanding Lexical Features for Chinese Essay Grading., , , , and . ChineseCSCW, volume 1042 of Communications in Computer and Information Science, page 645-657. Springer, (2019)Two relaxation time lattice Boltzmann method coupled to fast Fourier transform Poisson solver: Application to electroconvective flow., and . J. Comput. Phys., (2019)Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges., , , , , and . CoRR, (2023)