Michael Bauerheim

According to our database, Michael Bauerheim authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning.

Zhen Wei, Pascal Fua, Michael Bauerheim

CoRR, 2023

Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations.

Ekhi Ajuria Illarramendi, Michael Bauerheim, Neil Ashton, Corentin Lapeyre, Bénédicte Cuenot

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.

Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky, Michael Bauerheim, Bénédicte Cuenot

CoRR, 2021

Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network.

Ekhi Ajuria Illarramendi, Michael Bauerheim, Bénédicte Cuenot

CoRR, 2021

On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems.

Wagner Gonçalves Pinto, Antonio Alguacil, Michael Bauerheim

CoRR, 2021

Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics.

Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau

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.

Luca Magri, Michael Bauerheim, Franck Nicoud, Matthew P. Juniper

J. Comput. Phys., 2016

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity.

Luca Magri, Michael Bauerheim, Matthew P. Juniper

J. Comput. Phys., 2016