most citedGPU-Native Adaptive Mesh Refinement with Application to Lattice Boltzmann Simulations

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2025

GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method

Khodr Jaber, Ebenezer E. Essel, Pierre E. Sullivan

Adaptive mesh refinement (AMR) reduces computational costs in CFD by concentrating resolution where needed, but efficiently embedding complex, non-aligned geometries on GPUs remain…

physics.flu-dyn2025

Numerical Investigation of Boundary-Layer Height and Actuation-Parameter Effects of a Circular Synthetic Jet Actuator in Crossflow

Howard Ho, Ebenezer Essel, Pierre Sullivan

Three-dimensional unsteady numerical simulations are performed to investigate the effects of blowing ratio (), stroke ratio ($10.6…

cs.CG2025

Towards a GPU-Native Adaptive Mesh Refinement Scheme for the Lattice Boltzmann Method in Complex Geometries

Khodr Jaber, Ebenezer E. Essel, Pierre E. Sullivan

We present a GPU-native mesh adaptation procedure that incorporates a complex geometry represented with a triangle mesh within a primary Cartesian computational grid organized as a…

physics.flu-dyn2023

Improving 3D Synthetic Jet Modeling in a Crossflow

Howard Ho, Ebenezer Essel, Pierre Sullivan

Three different circular synthetic jet modeling inlet conditions are studied for a turbulent crossflow. The study examines the differences when modeling the whole SJA, neck-only or…

physics.comp-ph2023★ 8 cited

GPU-Native Adaptive Mesh Refinement with Application to Lattice Boltzmann Simulations

Khodr Jaber, Ebenezer Essel, Pierre Sullivan

Adaptive Mesh Refinement (AMR) enables efficient computation of flows by providing high resolution in critical regions while allowing for coarsening in areas where fine detail is u…