output
20102026
most citedTFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis

209 citations

Showing 2023Show all

7 papers · 1 filter

nucl-th2023★ 13 cited

New quantification of symmetry energy from neutron skin thicknesses of Ca and Pb

Rong An, Shuai Sun, Li-Gang Cao +1

Precise knowledge of the nuclear symmetry energy can be tentatively calibrated through multimessenger constraints. The neutron skin thickness of a heavy nucleus is one of the most…

physics.soc-ph2023★ 6 cited

Optimal coordination of resources: A solution from reinforcement learning

Guozhong Zheng, Weiran Cai, Guanxiao Qi +2

Efficient allocation is important in nature and human society, where individuals frequently compete for limited resources. The Minority Game (MG) is perhaps the simplest toy model…

nucl-th2023★ 17 cited

Improved description of nuclear charge radii: Global trends beyond shell closure

Rong An, Xiang Jiang, Na Tang +2

Charge radii measured with high accuracy provide a stringent benchmark for characterizing nuclear structure phenomena. In this work, the systematic evolution of charge radii for nu…

physics.optics2023★ 29 cited

Self-Amplification-Assisted Highly Efficient Integrated Laser

Jiangwei Wu, Xiongshuo Yan, Xueyi Wang +5

Light source is indispensable component in on-chip system. Compared with hybrid or heterogeneous integrated laser, monolithically integrated laser is more suitable for high density…

q-bio.PE2023★ 15 cited

Decoding trust: A reinforcement learning perspective

Guozhong Zheng, Jiqiang Zhang, Jing Zhang +2

Behavioral experiments on the trust game have shown that trust and trustworthiness are universal among human beings, contradicting the prediction by assuming \emph{Homo economicus}…

physics.soc-ph2023★ 24 cited

Emergence of Cooperation in Two-agent Repeated Games with Reinforcement Learning

Zhen-Wei Ding, Guo-Zhong Zheng, Chao-Ran Cai +4

Cooperation is the foundation of ecosystems and the human society, and the reinforcement learning provides crucial insight into the mechanism for its emergence. However, most previ…