580 citations
- Chinese Academy of SciencesCN54 papers
- University of Science and Technology of ChinaCN54 papers
- Hefei Institutes of Physical ScienceCN24 papers
- High Magnetic Field LaboratoryCN22 papers
- University of Chinese Academy of SciencesCN20 papers
- National Astronomical ObservatoriesCN18 papers
- Nanjing UniversityCN16 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN10 papers
- Hefei National Center for Physical Sciences at NanoscaleCN9 papers
- Beihang UniversityCN8 papers
- University of Tennessee at KnoxvilleUS8 papers
- The University of TokyoJP7 papers
36 papers · 1 filter
Environment-mediated entropic uncertainty in charging quantum batteries
Meng-Long Song, Li-Juan Li, Xue-Ke Song +2
We studied the dynamics of entropic uncertainty in Markovian and non-Markovian systems during the charging of open quantum batteries (QBs) mediated by a common dissipation environm…
Stellar Chromospheric Activity Database of Solar-like Stars Based on the LAMOST Low-Resolution Spectroscopic Survey
Weitao Zhang, Jun Zhang, Han He +3
$\require{mediawiki-texvc}$A stellar chromospheric activity database of solar-like stars is constructed based on the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMO…
Superconductivity Induced by Site-Selective Arsenic Doping in MoSi
Bin-Bin Ruan, Jun-Nan Sun, Meng-Hu Zhou +5
Arsenic doping in silicides has been much less studied compared with phosphorus. In this study, superconductivity is successfully induced by As doping in MoSi. The supercon…
Hybrid Multimodal Fusion for Humor Detection
Haojie Xu, Weifeng Liu, Jingwei Liu +6
In this paper, we present our solution to the MuSe-Humor sub-challenge of the Multimodal Emotional Challenge (MuSe) 2022. The goal of the MuSe-Humor sub-challenge is to detect humo…
Study of Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion
W. Shi, Y. Li, R. C. de Lamare
A novel sparse array (SA) structure is proposed based on the maximum inter-element spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the proposed…
Nuclear mass predictions with machine learning reaching the accuracy required by -process studies
Z. M. Niu, H. Z. Liang
Nuclear masses are predicted with the Bayesian neural networks by learning the mass surface of even-even nuclei and the correlation energies to their neighbouring nuclei. By keepin…