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Machine Learning for α-Decay Prediction by mquietman is a document available to read on EtoBox.
What is Machine Learning for α-Decay Prediction about?
This paper discusses the modification of empirical formulas and the application of machine learning techniques to improve the prediction of alpha-decay half-lives for superheavy nuclei. The authors enhance existing formulas by incorporating asymmetry-dependent terms and refitting coefficients, achieving significant improvements in prediction accuracy. Additionally, machine learning models, including XGBoost and MLP, are employed to further refine predictions of decay modes and half-lives, demonstrating stro
- Author
- mquietman
- Language
- EN