90 citations · 161 across the 9 of their papers we have counts for
9 papers
Critical transition to a non-chaotic regime in isotropic turbulence
Daniel Clark, Andres Armua, Richard DJG Ho +1
We study the properties of homogeneous and isotropic turbulence in higher spatial dimensions through the lens of chaos and predictability using numerical simulations. We employ bot…
Effect of spatial dimension on a model of fluid turbulence
Daniel Clark, Richard Ho, Arjun Berera
A numerical study of the -dimensional Eddy Damped Quasi-Normal Markovian equations is performed to investigate the dependence on spatial dimension of homogeneous isotropic fluid…
Chaotic measure of the transition between two and three dimensional turbulence
Daniel Clark, Andres Armua, Calum Freeman +2
Using direct numerical simulation we study the behavior of the maximal Lyapunov exponent in thin-layer turbulence, where one dimension of the system is constrained geometrically. S…
Chaos and information in two dimensional turbulence
Daniel Clark, Lukas Tarra, Arjun Berera
By performing a large number of fully resolved simulations of incompressible homogeneous and isotropic two dimensional turbulence, we study the scaling behavior of the maximal Lyap…
Information production in homogeneous isotropic turbulence
Arjun Berera, Daniel Clark
We study the Reynolds number scaling of the Kolmogorov-Sinai entropy and attractor dimension for three dimensional homogeneous isotropic turbulence through the use of direct numeri…
OBOE: Collaborative Filtering for AutoML Model Selection
Chengrun Yang, Yuji Akimoto, Dae Won Kim +1
Algorithm selection and hyperparameter tuning remain two of the most challenging tasks in machine learning. Automated machine learning (AutoML) seeks to automate these tasks to ena…