422 citations
- Central China Normal UniversityCN283 papers
- Nankai UniversityCN275 papers
- Henan Normal UniversityCN270 papers
- University of Chinese Academy of SciencesCN270 papers
- Nanjing Normal UniversityCN269 papers
- Nanjing UniversityCN268 papers
- Shanghai Jiao Tong UniversityCN268 papers
- Tsinghua UniversityCN268 papers
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- Beihang UniversityCN267 papers
- Hunan Normal UniversityCN267 papers
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392 papers
Superconductivity in the pressure-amorphized topological insulator CrP
Chutong Zhang, Xiangzhuo Xing, Na Zuo +12
The interplay among superconductivity, magnetism, and nontrivial band topology represents one of the most compelling frontiers in condensed matter physics. The exploration of novel…
Pressure-induced reentrant superconductivity in a misfit layered compound
Chutong Zhang, Jiajia Feng, Xiao Tang +10
Misfit layered compounds are natural van der Waals heterostructures in which electronically active transition-metal dichalcogenide layers are decoupled by incommensurate blocking l…
Liouville theorems for mixed local and nonlocal indefinite equations
Pengyan Wang, Leyun Wu
We investigate the qualitative properties of positive solutions to mixed local-nonlocal equations with indefinite nonlinearities, emphasizing the interaction between classical and…
Selective profiling of non-canonical nucleic acid structures via size-discriminative supramolecular probes
Runyu Shi, Dan Huang, Yanxi Wang +5
Nucleic acids can form diverse non-canonical structures, such as G-quadruplexes (G4s) and i-motifs (iMs), which are critical in biological processes and disease pathways. This stud…
Test of local realism via entangled system
BESIII Collaboration, M. Ablikim, M. N. Achasov +608
The non-locality of quantum correlations is a fundamental feature of quantum theory. The Bell inequality serves as a benchmark for distinguishing between predictions made by quantu…
Learn to Swim: Data-Driven LSTM Hydrodynamic Model for Quadruped Robot Gait Optimization
Fei Han, Pengming Guo, Hao Chen +5
This paper presents a Long Short-Term Memory network-based Fluid Experiment Data-Driven model (FED-LSTM) for predicting unsteady, nonlinear hydrodynamic forces on the underwater qu…