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Machine learning the deuteron: new architectures and uncertainty quantification (2024)

First Author: Rozalén Sarmiento J

Attributed to: Nuclear Physics at the Extremes: Theory & Experiment funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1140/epjp/s13360-024-04983-w

Publication URI: http://dx.doi.org/10.1140/epjp/s13360-024-04983-w

Type: Journal Article/Review

Parent Publication: The European Physical Journal Plus

Issue: 2