3 papers
physics.flu-dyn2021
Physics-Informed Machine Learning of the Lagrangian Dynamics of Velocity Gradient Tensor
Yifeng Tian, Daniel Livescu, Michael Chertkov
Reduced models describing the Lagrangian dynamics of the Velocity Gradient Tensor (VGT) in Homogeneous Isotropic Turbulence (HIT) are developed under the Physics-Informed Machine L…
cond-mat.stat-mech2021
Data-driven learning for the Mori-Zwanzig formalism: a generalization of the Koopman learning framework
Yen Ting Lin, Yifeng Tian, Marian Anghel +1
A theoretical framework which unifies the conventional Mori-Zwanzig formalism and the approximate Koopman learning is presented. In this framework, the Mori-Zwanzig formalism, deve…
physics.flu-dyn2019
Density Effects on the Post-shock Turbulence Structure and Dynamics
Yifeng Tian, Farhad A. Jaberi, Daniel Livescu
Turbulence structure resulting from multi-fluid or multi-species, variable-density isotropic turbulence interaction with a Mach 2 shock is studied using turbulence-resolving shock-…