2 papers
physics.flu-dyn2022
Numerical study of three-dimensional single-mode Rayleigh-Taylor instability in turbulent mixing stage
Bin Liu, Chunhua Zhang, Qin Lou +1
Rayleigh-Taylor instability (RTI) as a multi-scale, strongly nonlinear physical phenomenon which plays an important role in the engineering applications and scientific research. In…
physics.comp-ph2020
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
Qin Lou, Xuhui Meng, George Em Karniadakis
In this study, we employ physics-informed neural networks (PINNs) to solve forward and inverse problems via the Boltzmann-BGK formulation (PINN-BGK), enabling PINNs to model flows…