765 citations
- University of Chinese Academy of SciencesCN36 papers
- Chinese Academy of SciencesCN31 papers
- Central China Normal UniversityCN28 papers
- Tsinghua UniversityCN27 papers
- Centre National de la Recherche ScientifiqueFR24 papers
- Institute for Nuclear ResearchRU20 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del SudIT20 papers
- Université Paris-SaclayFR20 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR19 papers
- Texas A&M UniversityUS19 papers
- Istituto Nazionale di Fisica NucleareIT18 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT18 papers
29 papers · 1 filter
Selective quantum Zeno effect of ultracold atom-molecule scattering in dynamic magnetic fields
Hanwei Yang, Zunqi Li, Songbin Zhang +6
We demonstrated that final states of ultracold scattering between atom and molecule can be selectively produced using dynamic magnetic fields of multiple frequencies. The mechanism…
Information fractal dimension of mass function
Chenhui Qiang, Yong Deng, Kang Hao Cheong
Fractal plays an important role in nonlinear science. The most important parameter to model fractal is fractal dimension. Existing information dimension can calculate the dimension…
Exploring amplitudes with violation by decomposition and on-shell scattering amplitude methods
Ke-Yao Feng, Xia Wan, You-Kai Wang +1
violation may play an important role in Baryogenesis in early universe, and should be examined at colliders comprehensively. We study properties of vertexes between…
Projective robustness for quantum channels and measurements and their operational significance
Mingfei Ye, Yu Luo, Zhihui Li +1
Recently, the projective robustness of quantum states has been introduced in [arXiv:2109.04481(2021)]. It shows that the projective robustness is a useful resource monotone and can…
Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network
X. Zhang, Y. Huang, W. Lin +18
A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model…
High-Temperature Anomalous Metal States in Iron-Based Interface Superconductors
Yanan Li, Haiwen Liu, Haoran Ji +14
The nature of the anomalous metal state has been a major puzzle in condensed matter physics for more than three decades. Here, we report systematic investigation and modulation of…