2 papers
nucl-th2026
Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks
Phong Dang, Evander Espinoza, Xiaoliang Wan +6
Ab initio modeling has established Wigner's SU(4) and Elliott's SU(3) as dominant symmetries of the nuclear force in light and intermediate-mass nuclei. We ask whether they also go…
nucl-th2025
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…