Nuclear GP Corrector v4.3 — Shell Energy & Enhanced Beta2
Abstract
Python code for an advanced Gaussian Process model (GPyTorch) that corrects nuclear correlation energies using nine physical features, including shell energy and experimental beta2. The i package P.s. the code was run on Google colab. Email contact: multiversou@gmail.com
Fields of Study & Subjects
Nuclear physics research studies
Machine Learning in Materials Science
Gaussian Processes and Bayesian Inference
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026