activity
20052022
most citedThree-Dimensional Vortices in Stratified Protoplanetary Disks

149 citations · 793 across the 19 of their papers we have counts for

collaborators

20 papers

physics.flu-dyn2022★ 3 cited

Linear stability analysis of wake vortices by a spectral method using mapped Legendre functions

Sangjoon Lee, Philip S. Marcus

A spectral method using associated Legendre functions with algebraic mapping is developed for a linear stability analysis of wake vortices. These functions serve as Galerkin basis…

cs.CG2022★ 17 cited

Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization

Haris Moazam Sheikh, Tess A. Callan, Kealan J. Hennessy +1

Finding the optimal design of a hydrodynamic or aerodynamic surface is often impossible due to the expense of evaluating the cost functions (say, with computational fluid dynamics)…

math.GT2022★ 13 cited

Airfoil Optimization using Design-by-Morphing

Haris Moazam Sheikh, Sangjoon Lee, Jinge Wang +1

We present Design-by-Morphing (DbM), a novel design methodology applicable to creating a search space for topology optimization of 2D airfoils. Most design techniques impose geomet…

astro-ph.EP2022★ 56 cited

Hydro-, Magnetohydro-, and Dust-Gas Dynamics of Protoplanetary Disks

G. Lesur, B. Ercolano, M. Flock +16

The building of planetary systems is controlled by the gas and dust dynamics of protoplanetary disks. While the gas is simultaneously accreted onto the central star and dissipated…

cs.LG2022★ 25 cited

Bayesian Optimization For Multi-Objective Mixed-Variable Problems

Haris Moazam Sheikh, Philip S. Marcus

Optimizing multiple, non-preferential objectives for mixed-variable, expensive black-box problems is important in many areas of engineering and science. The expensive, noisy, black…

cs.LG2020★ 1 cited

MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli +6

We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs. Whil…