activity
20242026
most citedDiscovering Nuclear Models from Symbolic Machine Learning

6 citations · 11 across the 4 of their papers we have counts for

collaborators

6 papers

nucl-ex2026

CREMA: Collinear Resonance for Exotic Molecules and Atoms

Fabian C. Pastrana Cruz, Shane G. Wilkins, Alex J. Brinson +19

The Collinear Resonance for Exotic Molecules and Atoms (CREMA) setup has been developed and commissioned at the Massachusetts Institute of Technology's Laboratory for Nuclear Scien…

cs.LG2026

Constrained Tabular Diffusion for Finance

Michael Cardei, Jose M Munoz, Oscar Barrera +2

Generative models in finance face the dual challenge of producing realistic data while satisfying strict regulatory and economic objectives, a requirement that standard tabular dif…

nucl-ex2026

Nuclear charge radii of aluminium isotopes at the proton drip line

Alex Brinson, Brooke Rickey, Pierre Arthuis +35

Understanding the evolution of nuclear size away from stability remains a central challenge in nuclear physics. In neutron-deficient systems, charge radii can be highly sensitive t…

nucl-th2026

Linking Electromagnetic Moments to Nuclear Interactions with a Global Physics-Driven Machine-Learning Emulator

Jose M. Munoz, Antoine Belley, Andreas Ekström +3

Understanding how specific components of the nuclear interaction shape observable properties of atomic nuclei remains a central challenge in nuclear structure research. While previ…

nucl-th2025★ 5 cited

Global Framework for Emulation of Nuclear Calculations

Antoine Belley, Jose M. Munoz, Ronald F. Garcia Ruiz

We introduce a hierarchical framework that combines ab initio many-body calculations with a Bayesian neural network, developing emulators capable of accurately predicting nuclear p…

nucl-th2024★ 6 cited

Discovering Nuclear Models from Symbolic Machine Learning

Jose M. Munoz, Silviu M. Udrescu, Ronald F. Garcia Ruiz

Numerous phenomenological nuclear models have been proposed to describe specific observables within different regions of the nuclear chart. However, developing a unified model that…