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Deep learning approaches for nuclear binding energy predictions: A comparative study of RNN, GRU, and LSTM neural-network models

Amir Jalili, Feng Pan, Ai Xi Chen, Jerry P. Draayer

2025Physical review. C11 citationsDOI

Topics & Concepts

Recurrent neural networkArtificial intelligenceComputer scienceArtificial neural networkDeep learningMachine learningMachine Learning in Materials ScienceNuclear Physics and Applications
Deep learning approaches for nuclear binding energy predictions: A comparative study of RNN, GRU, and LSTM neural-network models | Litcius