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Data · dataset · 2024

Prediction of the first 2+ states properties for atomic nuclei using Light Gradient Boosting Machine

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We explored the feasibility of using machine learning (ML) methods to calculate the energy of the first 2+ state of atomic nuclei.

Description

Based on the machine learning model of LightGBM, we have successfully predicted the excitation energy of the first 2+ state of the majority of even even nuclei from He to Rf in a reasonable manner. This dataset contains computational results and corresponding four sets of input physical features.

This dataset is provided for free and can be used as a sample for ML research. Detailed information can be found in related articles.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00186.0042311 d agoJSON v1
FieldAssertionExtractorEvidence
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