Gradient boosted trees trained on nuclear data predict level density parameters for superheavy elements with reported standard deviations from 0.00035 to 0.73.
Funny hills: The shell- correction approach to nuclear shell effects and its applications to the fission process.Reviews of Modern Physics, 44(2):320
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
nucl-th 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.