3 citations · 3 across the 3 of their papers we have counts for
4 papers
Prospects for Mercury Observations with the BepiColombo Laser Altimeter (BELA): Implications for Estimating Surface Roughness from Laser Altimetry
Gaku Nishiyama, Alexander Stark, Christian Hüttig +12
Surface reflectance and roughness are key to understanding Mercury's geologic evolution. The BepiColombo Laser Altimeter (BELA) will measure these properties alongside topography,…
Physics-based machine learning for mantle convection simulations
Siddhant Agarwal, Ali Can Bekar, Christian Hüttig +2
Mantle convection simulations are an essential tool for understanding how rocky planets evolve. However, the poorly known input parameters to these simulations, the non-linear depe…
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning
Siddhant Agarwal, Nicola Tosi, Christian Hüttig +2
Simulating mantle convection often requires reaching a computationally expensive steady-state, crucial for deriving scaling laws for thermal and dynamical flow properties and bench…
RayPC: Interactive Ray Tracing Meets Parallel Coordinates
Jonathan Fritsch, Markus Flatken, Simon Schneegans +3
Large-scale numerical simulations of planetary interiors require dedicated visualization algorithms that are able to efficiently extract a large amount of information in an interac…