1 code implementation • 28 Mar 2023 • Alexander Hagg, Martin L. Kliemank, Alexander Asteroth, Dominik Wilde, Mario C. Bedrunka, Holger Foysi, Dirk Reith
For a use case to design buildings that minimize wind nuisance, we show that we can predict flow features around 3D buildings from 2D flow features around building footprints.
2 code implementations • 24 Jun 2021 • Mario Christopher Bedrunka, Dominik Wilde, Martin Kliemank, Dirk Reith, Holger Foysi, Andreas Krämer
Lettuce enables GPU accelerated calculations with minimal source code, facilitates rapid prototyping of LBM models, and enables integrating LBM simulations with PyTorch's deep learning and automatic differentiation facility.
no code implementations • 10 May 2021 • Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck
In complex, expensive optimization domains we often narrowly focus on finding high performing solutions, instead of expanding our understanding of the domain itself.
no code implementations • 11 Jan 2021 • Dominik Wilde, Andreas Krämer, Mario Bedrunka, Dirk Reith, Holger Foysi
Off-lattice Boltzmann methods increase the flexibility and applicability of lattice Boltzmann methods by decoupling the discretizations of time, space, and particle velocities.
Computational Physics Fluid Dynamics
no code implementations • 10 Dec 2020 • Dominik Wilde, Andreas Krämer, Dirk Reith, Holger Foysi
Turbulent compressible flows are traditionally simulated using explicit time integrators applied to discretized versions of the Navier-Stokes equations.
Computational Physics Statistical Mechanics Fluid Dynamics