2 citations · 5 across the 5 of their papers we have counts for
5 papers
Routes to stratified turbulence and temporal intermittency revealed by a cluster-based network model of experimental data
Adrien Lefauve, Yui Hin Marvil Cheung, Xianyang Jiang +1
Modelling fluid turbulence using a `skeleton' of coherent structures has traditionally progressed by focusing on a few canonical laboratory experiments such as pipe flow and Taylor…
Boiling stratified flow: a laboratory analogy for atmospheric moist convection
Hao Fu, Claudia Cenedese, Adrien Lefauve +1
We present a novel laboratory experiment, boiling stratified flow, as an analogy for atmospheric moist convection. A layer of diluted syrup is placed below freshwater in a beaker a…
Physics-informed neural network to augment experimental data: an application to stratified flows
Lu Zhu, Xianyang Jiang, Adrien Lefauve +2
We develop a physics-informed neural network (PINN) to significantly augment state-of-the-art experimental data and apply it to stratified flows. The PINN is a fully-connected deep…
Routes to stratified turbulence revealed by unsupervised classification of experimental data
Adrien Lefauve, Miles M. P. Couchman
Modeling fluid turbulence using a 'skeleton' of coherent structures has traditionally progressed by focusing on a few canonical experiments, such as pipe flow and Taylor-Couette fl…
Data-driven classification of sheared stratified turbulence from experimental shadowgraphs
Adrien Lefauve, Miles M. P. Couchman
We propose a dimensionality reduction and unsupervised clustering method for the automatic classification and reduced-order modeling of density-stratified turbulence in laboratory…