Machine learning regression models applied to the two-potential approach incorporating alpha non-locality improve standard deviation by over 50% versus baseline TPA and generate half-life predictions for Z=118 and Z=120 even-even nuclei that are broadly consistent with established empirical formulas
Breiman, Random forests, Machine learning45, 5 (2001)
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Nonlocality Effect in the Tunneling of Alpha Radioactivity with the Aid of Machine Learning
Machine learning regression models applied to the two-potential approach incorporating alpha non-locality improve standard deviation by over 50% versus baseline TPA and generate half-life predictions for Z=118 and Z=120 even-even nuclei that are broadly consistent with established empirical formulas
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