36 citations · 77 across the 8 of their papers we have counts for
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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…
cs.CE2024★ 36 cited
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand +3
This paper presents a methodology to learn surrogate models of steady state fluid dynamics simulations on meshed domains, based on Implicit Neural Representations (INRs). The propo…