Prediction of the first 2+ states properties for atomic nuclei using Light Gradient Boosting Machine
收藏科学数据银行2024-11-20 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=3a929241b16f4f77b51a9af09ec33cb0
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资源简介：
We explored the feasibility of using machine learning (ML) methods to calculate the energy of the first 2+ state of atomic nuclei. 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.
提供机构：
University of South China
创建时间：
2024-11-18
