2 papers
astro-ph.EP2025
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…
physics.flu-dyn2024
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…