76 citations · 190 across the 10 of their papers we have counts for
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astro-ph.IM2020★ 32 cited
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…
astro-ph.EP2020★ 21 cited
Losing Oceans: The Effects of Composition on the Thermal Component of Impact-driven Atmospheric Loss
John B. Biersteker, Hilke E. Schlichting
The formation of the solar system's terrestrial planets concluded with a period of giant impacts. Previous works examining the volatile loss caused by the impact shock in the moon-…