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NucleiML: A machine learning framework of ground-state properties of finite nuclei for accelerated Bayesian exploration

Fuente: arXiv

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Bibliographic Details
Main Authors:	Venneti, Anagh, Mondal, Chiranjib, Imam, Sk Md Adil, Banik, Sarmistha, Agrawal, Bijay K.
Format:	Preprint
Published:	2025
Subjects:	Nuclear Theory High Energy Astrophysical Phenomena
Online Access:	Acceder al recurso
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