Bauerheim, Michael

1. Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
   2021/06/21 by Antonio Alguacil, Wagner Gonçalves Pinto, Alguacil, Antonio +7 · 2 citations
   Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
2. Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
   2021/09/27 by Lionel Cheng, Ekhi Ajuria Illarramendi, Cheng, Lionel +7 · 1 citation
   Engineering · Materials Science · Physics and Astronomy · #Electrostatic Discharge in Electronics #FOS: Computer and information sciences #FOS: Physical sciences #High voltage insulation and dielectric phenomena #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Plasma Physics (physics.plasm-ph)
3. Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations
   2025/05/14 by G. Catalani, Catalani, Giovanni, Jean Fesquet +9 · 3 citations
   Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
4. Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
   2025/04/24 by Catalani, Giovanni, Bauerheim, Michael, Tost, Frédéric +2 · 3 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)