Nuclear mass prediction using bidirectional recurrent neural networks with isotopic and isotonic chain correlations

Nuclear masses are fundamental quantities in nuclear physics, providing essential information for understanding nuclear structure, decay properties, and reaction processes. Here we develop a bidirectional recurrent neural network (Bi-RNN) that naturally incorporates sequential correlations along iso