Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning

arXiv:2603.15203 · nucl-th, cs.LG, nucl-ex · Submitted 2026-03-16 · Read on arXiv

nucl-th, cs.LG, nucl-ex

Submitted: 2026-03-16

Updated: 2026-03-16

Comments: 10 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Interpretability — 8× in this paper · explained in 15 episodes
• Activation Function — 5× in this paper · explained in 1 episode
• Kolmogorov-Arnold Network — 4× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Symbolic Regression — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

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