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physics.comp-ph2025
Reduction of Outflow Boundary Influence on Aerodynamic Performance using Neural Networks
Mario Christopher Bedrunka, Dirk Reith, Holger Foysi +2
The accurate treatment of outflow boundary conditions remains a critical challenge in computational fluid dynamics when predicting aerodynamic forces and/or acoustic emissions. Thi…
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…
physics.comp-ph2021
Cubature rules for weakly and fully compressible off-lattice Boltzmann methods
Dominik Wilde, Andreas Krämer, Mario Bedrunka +2
Off-lattice Boltzmann methods increase the flexibility and applicability of lattice Boltzmann methods by decoupling the discretizations of time, space, and particle velocities. How…