Gradient boosted trees trained on nuclear data predict level density parameters for superheavy elements with reported standard deviations from 0.00035 to 0.73.
Semiclassical theory of melting of shell effects in nuclei with temperature
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Trees and Islands -- Machine learning approach to nuclear physics
Gradient boosted trees trained on nuclear data predict level density parameters for superheavy elements with reported standard deviations from 0.00035 to 0.73.