anthony wachs

Full professor

The University of British Columbia

Canada

Research Interests

Explore related searches

Professors in Canada Professors in Fluid Mechanics Fluid Mechanics professors in Canada

Contact this professor

ORCID

Google Scholar

Academic Page

About

Anthony Wachs is a Full Professor at the University of British Columbia, Canada. His research focuses on performance optimization in collision detection for discrete element simulations, as well as computational fluid dynamics (CFD) and its applications in various interactions, including those involving elastic capsules and Platonic polyhedrons. Recent publications explore topics ranging from hydrodynamic interactions in heterogeneous suspensions to the dynamics of particles in inertial shear flows.

anthony wachs

Research Interests

Explore related searches

Contact this professor

About

Articles (21)

Resolved DEM-CFD coupling for wave-armour blocks interactions

Performance optimization of GJK collision detection in discrete element simulations

Transversely rotating angular particle in an inertial flow at moderate Reynolds numbers

Deformation, dynamics and rheology of immersed elastic capsules in an inertial shear flow

A physics-inspired neural network to model higher order hydrodynamic interactions in heterogeneous suspensions

Binary interactions between stationary circular and non-circular cylinders in steady unbounded flow

Flow past a random array of statistically homogeneously distributed stationary Platonic polyhedrons: Data analysis, Probability maps and Deep Learning models

Motion and deformation of capsules flowing through a corner in the inertial and non-inertial regimes

On the dynamics and wakes of a freely settling Platonic polyhedron in a quiescent Newtonian fluid

An accurate and scalable direction-splitting solver for flows laden with non-spherical rigid bodies—Part 2: Moving rigid bodies

Hydrodynamic force interaction of two fixed spheres in a wall-bounded linear shear flow

Preferential Concentration of Particles in Forced Turbulent Flows: Effects of Gravity

Physics-informed neural network for modeling force and torque fluctuations in a random array of bidisperse spheres

A Cartesian-octree adaptive front-tracking solver for immersed biological capsules in large complex domains

Hydrodynamic force and torque fluctuations in a random array of polydisperse stationary spheres

Interpolation of probability‐driven model to predict hydrodynamic forces and torques in particle‐laden flows

Dynamics, wakes, and regime transitions of a fixed angular particle in an unbounded inertial flow. I. Regular tetrahedron angular position

Dynamics, wakes, and regime transitions of a fixed angular particle in an unbounded inertial flow. II. From tetrahedron to sphere

On the streamwise vorticity generation and distribution in an angular particle wake

High fidelity adaptive Cartesian octree grid computations of the flow past a Platonic polyhedron up to a Reynolds number of 200

A Highly Scalable Direction-Splitting Solver on Regular Cartesian Grid to Compute Flows in Complex Geometries Described by STL Files

Collaborators (3)

Pascal Fede

Layal Jbara

Thomine Olivier

How do I reach out?

Meet Kite AI