activity
19942026
most citedGeneralized Pseudo-SU(3) Model and Pairing

172 citations · 2.2k across the 119 of their papers we have counts for

collaborators

119 papers

nucl-th2026

Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks

Phong Dang, Evander Espinoza, Xiaoliang Wan +6

Ab initio theory establishes Wigner's SU(4) and Elliott's SU(3) as dominant symmetries of the nuclear force in light and intermediate-mass nuclei. Previous work shows the relevance…

nucl-th2026

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 la…

nucl-th2025★ 14 cited

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…

nucl-th2025★ 20 cited

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 (…

nucl-th2025★ 1 cited

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…

nucl-th2025★ 1 cited

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…