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

Fuente: arXiv

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2504.03333