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physics.flu-dyn2018★ 15 cited
Reynolds-Averaged Turbulence Modeling Using Type I and Type II Machine Learning Frameworks with Deep Learning
Chih-Wei Chang, Nam T. Dinh
Deep learning (DL)-based Reynolds stress with its capability to leverage values of large data can be used to close Reynolds-averaged Navier-Stoke (RANS) equations. Type I and Type…
physics.flu-dyn2018★ 101 cited
Classification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models
Chih-Wei Chang, Nam T. Dinh
Thermal fluid processes are inherently multi-physics and multi-scale, involving mass-momentum-energy transport phenomena. Thermal fluid simulation (TFS) is based on solving conserv…