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- University of BonnDE19 papers
- Fraunhofer Institute for Industrial MathematicsDE4 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE4 papers
- Hochschule Bonn-Rhein-SiegDE4 papers
- University of SiegenDE4 papers
- Fraunhofer-GesellschaftDE3 papers
- Freie Universität BerlinDE3 papers
- Louisiana State UniversityUS3 papers
- Potsdam Institute for Climate Impact ResearchDE3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Humboldt-Universität zu BerlinDE2 papers
- Technische Universität BerlinDE2 papers
7 papers · 1 filter
Semi-Lagrangian lattice Boltzmann method for compressible flows
Dominik Wilde, Andreas Krämer, Dirk Reith +1
This work thoroughly investigates a semi-Lagrangian lattice Boltzmann (SLLBM) solver for compressible flows. In contrast to other LBM for compressible flows, the vertices are organ…
Quantum Gravity Wormholes and Topological Teleporter
Igor Nikitin
The question of a possibility of opening a wormhole due to the deformation of the equation of state of the matter caused by quantum gravity effects is considered. As a wormhole env…
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte +1
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively rece…
The recovery of ridge functions on the hypercube suffers from the curse of dimensionality
Benjamin Doerr, Sebastian Mayer
A multivariate ridge function is a function of the form , where is univariate and . We show that the recovery of an un…
A Geometrical Method for Low-Dimensional Representations of Simulations
Rodrigo Iza-Teran, Jochen Garcke
We propose a new data analysis approach for the efficient post-processing of bundles of finite element data from numerical simulations. The approach is based on the mathematical pr…
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge…