56 citations · 56 across the 3 of their papers we have counts for
4 papers
APU-Accelerated Large Eddy Simulation with the Discontinuous Galerkin Solver GALÆXI
Spencer Starr, Anna Schwarz, Justin Du Plessis +5
The exascale computing era, driven by heterogeneous GPU architectures, requires a fundamental redesign of traditional CFD solvers to fully leverage those heterogeneous systems. The…
A Provably Robust Multi-Jet Framework applied to Active Flow Control of an Airfoil in Weakly Compressible Flow
Rohan Kaushik, Anna Schwarz, Andrea Beck
Reinforcement learning has by now become well established in finding excellent flow control strategies for a variety of scenarios. Existing literature has focused on using a simple…
Invariant Control Strategies for Active Flow Control using Graph Neural Networks
Marius Kurz, Rohan Kaushik, Marcel Blind +4
Reinforcement learning has gained traction for active flow control tasks, with initial applications exploring drag mitigation via flow field augmentation around a two-dimensional c…
PySPH: a Python-based framework for smoothed particle hydrodynamics
Prabhu Ramachandran, Aditya Bhosale, Kunal Puri +17
PySPH is an open-source, Python-based, framework for particle methods in general and Smoothed Particle Hydrodynamics (SPH) in particular. PySPH allows a user to define a complete S…