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#machine learning Open access Jul 2024

Kolmogorov-Arnold networks in nuclear binding energy prediction

This study explores the application of Kolmogorov-Arnold networks (KANs) in predicting nuclear binding energies, leveraging their ability to decompose complex multiparameter systems into simpler univariate functions. By utilizing data from the Atomic Mass Evaluation (AME2020) and incorporating features such as atomic n...

Hao Liu, Jin Lei, Zhongzhou Ren · 8 citations

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