- Hunan University of Science and TechnologyCN2 papers
- Chinese Academy of SciencesCN1 paper
- Guizhou UniversityCN1 paper
- Hengyang Normal UniversityCN1 paper
- Hunan Institute of TechnologyCN1 paper
- Jagiellonian UniversityPL1 paper
- Jewish Historical InstitutePL1 paper
- Naval University of EngineeringCN1 paper
- Sichuan UniversityCN1 paper
- University of Missouri–Kansas CityUS1 paper
- University of StrathclydeGB1 paper
- Zhejiang Normal UniversityCN1 paper
10 papers
Prediction of a layer nonlinear Hall effect in bilayer nonmagnetic or antiferromagnetic systems
Zehou Li, Shenda He, Pan Zhou +3
Nonlinear Hall effects provide a powerful probe of quantum geometry in solids and enable rectification phenomena beyond the constraints of linear response. In this Letter, we predi…
Layer Edelstein Effect
Binchang Zhou, Pan Zhou, Baoru Pan +3
Electrical control of magnetism represents a fundamental route toward next-generation spintronic functionalities. In this Letter, we introduce a universal current-induced spin phen…
Quantum Boomerang Effect in Time-Crystalline Structures
Qi-wen Peng, Krzysztof Sacha, Chu-hui Fan
The quantum boomerang effect (QBE) is a unique dynamical signature of Anderson localization, characterized by a launched wavepacket that initially drifts but ultimately returns to…
Efficient and High-Accuracy Ray Tracing in Discretized Ionospheric Models
Qinglin Li, Wen Liu, Zhigang Zhang +4
High-frequency (HF) ray tracing in complex ionospheric media generally involves a fundamental trade-off between path accuracy and computational efficiency, which directly affects p…
Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval
Ivan Ji, Liuyi Hu, Harrison +6
The two-tower model has been widely used for large-scale recommendation systems, particularly in the retrieval stage. Industry standards for training two-tower models typically inv…
DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling
Mingke Li, Jianping Zhang, Jinqiu Deng
Medical image registration benefits significantly from deep learning, yet existing approaches often lack physical explainability and fine-grained deformation control. Motivated by…