Machine Learning in Planetary Science: Lessons from a Cross-Disciplinary Collaboration

Alexander Roman; Konstantin Matchev; Katia Matcheva; Emilie Panek

doi:https://doi.org/10.5194/epsc-dps2025-916

[Back] [Session ODAA5]

EPSC Abstracts

Vol. 18, EPSC-DPS2025-916, 2025, updated on 09 Jul 2025

https://doi.org/10.5194/epsc-dps2025-916

EPSC-DPS Joint Meeting 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Machine Learning in Planetary Science: Lessons from a Cross-Disciplinary Collaboration

Alexander Roman

, Konstantin Matchev, Katia Matcheva, and Emilie Panek

Alexander Roman et al.

University of Alabama , Physics, United States of America (dr.alexroman@gmail.com)

How to cite: Roman, A., Matchev, K., Matcheva, K., and Panek, E.: Machine Learning in Planetary Science: Lessons from a Cross-Disciplinary Collaboration, EPSC-DPS Joint Meeting 2025, Helsinki, Finland, 7–12 Sep 2025, EPSC-DPS2025-916, https://doi.org/10.5194/epsc-dps2025-916, 2025.

This abstract has been withdrawn on 18 Sep 2025.