33 citations · 91 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
physics.flu-dyn2021★ 33 cited
Physics-driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks
Hao Ma, Yuxuan Zhang, Nils Thuerey +2
Recently, physics-driven deep learning methods have shown particular promise for the prediction of physical fields, especially to reduce the dependency on large amounts of pre-comp…
physics.flu-dyn2021
Heat transfer augmentation by recombination reactions in turbulent reacting boundary layers at elevated pressures
Nikolaos Perakis, Oskar Haidn, Matthias Ihme
A study of a reacting boundary layer flow with heat transfer at conditions typical for configurations at elevated pressures has been performed using a set of direct numerical simul…