Nuclear Neural Networks: Emulating Late Burning Stages in Core-collapse Supernova Progenitors

Nuclear Neural Networks: Emulating Late Burning Stages in Core-collapse Supernova Progenitors

One of the main challenges in modeling massive stars to the onset of core collapse is the computational bottleneck of nucleosynthesis during advanced burning stages. The number of isotopes formed requires solving a large set of fully coupled stiff ordinary differential equations, making the simulati...

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Bibliographic Details
Main Authors: Aldana Grichener, Mathieu Renzo, Wolfgang E. Kerzendorf, Rob Farmer, Selma E. de Mink, Earl Patrick Bellinger, Chi-kwan Chan, Nutan Chen, Ebraheem Farag, Stephen Justham
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Core-collapse supernovae
Massive stars
Nucleosynthesis
Online Access:https://doi.org/10.3847/1538-4365/ade717
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https://doi.org/10.3847/1538-4365/ade717

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