| A machine-learning-based surrogate model of Mars’ thermal evolution S Agarwal, N Tosi, D Breuer, S Padovan, P Kessel, G Montavon Geophysical Journal International 222 (3), 1656-1670, 2020 | 15 | 2020 |
| Deep learning for surrogate modeling of two-dimensional mantle convection S Agarwal, N Tosi, P Kessel, D Breuer, G Montavon PHYSICAL REVIEW FLUIDS 6 (11), 113801, 2021 | 12 | 2021 |
| Toward constraining Mars' thermal evolution using machine learning S Agarwal, N Tosi, P Kessel, S Padovan, D Breuer, G Montavon Earth and Space Science 8 (4), e2020EA001484, 2021 | 10 | 2021 |
| Neural fields for rapid aircraft aerodynamics simulations G Catalani, S Agarwal, X Bertrand, F Tost, M Bauerheim, J Morlier Scientific Reports 14, 25496 (2024), 2024 | | 2024 |
| Accelerating the discovery of steady-states of planetary interior dynamics with machine learning S Agarwal, N Tosi, C Hüttig, DS Greenberg, AC Bekar arXiv preprint arXiv:2408.17298, 2024 | | 2024 |
| Unraveling the interior evolution of terrestrial planets through machine learning S Agarwal http://dx.doi.org/10.14279/depositonce-15926, 2022 | | 2022 |
| Implementation of k-Exact Finite Volume Reconstruction in DLR’s Next-Generation CFD Solver: Flucs and its Comparison to Other Methods S AGARWAL KTH Royal Institute of Technology, 2017 | | 2017 |
