Deep learning approaches for nuclear binding energy prediction: a comparative study of RNN, GRU and LSTM Models

Amir Jalili, Feng Pan, Ai Xi Chen +1

This study investigates the application of deep learning models-recurrent neural networks, gated recurrent units, and long short-term memory networks-for predicting nuclear binding…