From the 1 of 7 linked papers with an AI index.
7 papers
Machine learning correction of satellite precipitation is governed by mechanism purity, not algorithmic complexity: a proof-of-concept study in Hunan, China, with pre-registered cross-regional validation
Yi Xu
Satellite precipitation products such as IMERG exhibit biases that vary with terrain, season, and precipitation regime, leaving the applicability boundaries of machine learning cor…
Automated Derivation of Lattice Boltzmann Methods for Systems of Conservation Laws
Adrian Kummerländer, Fedor Bukreev, Mathias J. Krause
The paper introduces an automated framework that derives lattice Boltzmann methods directly from systems of conservation laws, using a symbolic compiler to generate the necessary e…
Mean-Flow Adjoint Sensitivity Analysis of Unsteady Flow Around Porous Cylinders Using a Homogenized Lattice Boltzmann Method
Shota Ito, Johannes L. Grafen, Fedor Bukreev +2
Adjoint-based sensitivity analysis is an indispensable tool for large-scale fluid-dynamic design and distributed control problems, yet its application to unsteady and turbulent flo…
Lattice Boltzmann Methods for Compressible (Magneto)hydrodynamics
Fedor Bukreev, Adrian Kummerländer, Mathias J. Krause
The simulation of magnetohydrodynamic (MHD) flows presents a highly complex, tightly coupled transport problem that poses severe numerical and computational demands. Towards this,…
Efficient Wall-Modelled Large Eddy Simulation of Rotors using Homogenized Lattice Boltzmann Methods
Adrian Kummerländer, Shota Ito, Maximilian Schecher +4
Accurately capturing the dynamic forces acting on rotors as well as their wake effects presents a significant challenge for computational fluid dynamics (CFD) due to high Reynolds…
Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers
Adrian Kummerländer, Fedor Bukreev, Yuji Shimojima +2
Current GPU-accelerated supercomputers promise to enable large-scale simulations of turbulent flows. Lattice Boltzmann Methods (LBM) are particularly well-suited to fulfilling this…