7 papers
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…
Unmasking Hidden Wigner's Symmetry from First Principles
Phong Dang, Daniel Langr, Tomas Dytrych +2
We present quantitative evidence that high-quality internucleon forces derived from EFT exhibit a striking dominance of Wigner's supermultiplet symmetry, without invoking the l…
Anomalous collective modes in atomic nuclei within the proton-neutron interacting boson model
Wei Teng, Yu Zhang, Sheng-Nan Wang +3
Novel collective modes characterized by a ratio () less than 1.0 that were observed recently have been i…
Triaxial rotor modes in finite-N boson systems
Yu Zhang, ShengNan Wang, Feng Pan +2
We propose an algebraic approach to elucidate the dynamic characteristics of triaxial rotor modes in nuclei by mapping a triaxial rotor Hamiltonian to the interacting boson model (…
Algebraic description of the triaxially to axially rotational shape phase transition
Yu Zhang, Yu Xin Liu, Feng Pan +1
Within the framework of the interacting boson model, we propose a novel algebraic scheme to describe spin-dependent structural evolutions in triaxial nuclei. Our analysis demonstra…
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…