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Mario Christopher Bedrunka

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.NE1
  • physics.comp-ph1
  • physics.flu-dyn1
ORCID 0000-0002-9281-2027

identity via Semantic Scholar / OpenAlex

most citedMachine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2024

Supersonic Shear and Wall-Bounded Flows With Body-Fitted Meshes Using the Semi-Lagrangian Lattice Boltzmann Method: Boundary Schemes and Applications

Philipp Spelten, Dominik Wilde, Mario Christopher Bedrunka +2

Lattice Boltzmann method (LBM) simulations of incompressible flows are nowadays common and well-established. However, for compressible turbulent flows with strong variable density…

physics.comp-ph2024★ 1 cited

Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks

Mario Christopher Bedrunka, Tobias Horstmann, Ben Picard +2

Integrating machine learning techniques in established numerical solvers represents a modern approach to enhancing computational fluid dynamics simulations. Within the lattice Bolt…

cs.NE2023

Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization

Alexander Hagg, Martin L. Kliemank, Alexander Asteroth +4

Quality diversity algorithms can be used to efficiently create a diverse set of solutions to inform engineers' intuition. But quality diversity is not efficient in very expensive p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.