Michael Bauerheim
Orcid: 0000-0001-9550-9077
According to our database1,
Michael Bauerheim
authored at least 10 papers
between 2016 and 2025.
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Bibliography
2025
J. Comput. Phys., 2025
2024
2023
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning.
CoRR, 2023
Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
2021
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations.
CoRR, 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network.
CoRR, 2021
On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems.
CoRR, 2021
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
2016
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification.
J. Comput. Phys., 2016
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity.
J. Comput. Phys., 2016