2 papers
cond-mat.mtrl-sci2025
Probing Rate-Dependent Liquid Shear Viscosity Using Combined Machine Learning and Non-Equilibrium Molecular Dynamics
Hongyu Gao, Minghe Zhu, Jia Ma +2
Accurately measuring liquid dynamic viscosity across a wide range of shear rates, from the linear-response to shear-thinning regimes, presents significant experimental challenges d…
physics.flu-dyn2025
Efficient neural topology optimization via active learning for enhancing turbulent mass transfer in fluid channels
Chenhui Kou, Yuhui Yin, Min Zhu +4
The design of fluid channel structures of reactors or separators of chemical processes is key to enhancing the mass transfer processes inside the devices. However, the systematic d…