Characterizing Jupiter's interior using machine learning reveals four key structures

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ziv, Maayan, Galanti, Eli, Howard, Saburo, Guillot, Tristan, Kaspi, Yohai
Format:	Preprint
Published:	2024
Subjects:	Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2412.01611