Benjamin Uekermann
Orcid: 0000-0002-1314-9969
According to our database1,
Benjamin Uekermann
authored at least 19 papers
between 2014 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
Datenbank-Spektrum, July, 2024
Research Data Management in Simulation Science: Infrastructure, Tools, and Applications.
Datenbank-Spektrum, July, 2024
2023
J. Open Source Softw., November, 2023
2022
Seamless Coupling of PDE-based Simulations with the Coupling Library preCICE.
Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022
2021
Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE.
Algorithms, 2021
2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.
F1000Research, 2020
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action.
CoRR, 2020
CoRR, 2020
2018
Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion.
SIAM J. Sci. Comput., 2018
2017
Partitioned Fluid-Structure Interaction on Massively Parallel Systems (Partitionierte Fluid-Struktur-Wechselwirkung auf Massiv-parallelen Systemen)
PhD thesis, 2017
2016
Partitioned Fluid-Structure-Acoustics Interaction on Distributed Data: Coupling via preCICE.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
Partitioned Fluid-Structure-Acoustics Interaction on Distributed Data: Numerical Results and Visualization.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier-Stokes Solvers.
Comput., 2016
Comput. Math. Appl., 2016
2014
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014