Machine learning opportunities for nucleosynthesis studies

Nuclear astrophysics is an interdisciplinary field focused on exploring the impact of nuclear physics on the evolution and explosions of stars and the cosmic creation of the elements. While researchers in astrophysics and in nuclear physics are separately using machine learning approaches to advance...

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Bibliographic Details
Published in:	Frontiers in Astronomy and Space Sciences
Main Authors:	Michael S. Smith, Dan Lu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Subjects:	nuclear astrophysics nucleosynthesis simulations machine learning neural nets
Online Access:	https://www.frontiersin.org/articles/10.3389/fspas.2024.1494439/full

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