230 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN22 papers
- Nanyang Technological UniversitySG8 papers
- Zhejiang University of Science and TechnologyCN6 papers
- State Key Laboratory of Modern Optical InstrumentsCN5 papers
- University of Illinois Urbana-ChampaignUS5 papers
- Massachusetts Institute of TechnologyUS4 papers
- Centre for Disruptive Photonic TechnologiesSG3 papers
- University of MinnesotaUS3 papers
- Shanxi Science and Technology DepartmentCN2 papers
- Shaoxing UniversityCN2 papers
- Shenzhen UniversityCN2 papers
- Technion – Israel Institute of TechnologyIL2 papers
6 papers · 1 filter
Surface Dyakonov-Cherenkov Radiation
Hao Hu, Xiao Lin, Liang Jie Wong +3
Recent advances in engineered material technologies (e.g., photonic crystals, metamaterials, plasmonics, etc) provide valuable tools to control Cherenkov radiation. In all these ap…
Quantification of mismatch error in randomly switching linear state-space models
Parisa Karimi, Zhizhen Zhao, Mark Butala +1
Switching Kalman Filters (SKF) are well known for their ability to solve the piecewise linear dynamic system estimation problem using the standard Kalman Filter (KF). Practical SKF…
Photonic and plasmonic transition radiation from graphene
Jialin Chen, Hongsheng Chen, Xiao Lin
In the framework of full Maxwell equations, we systematically study the electromagnetic radiation, namely the transition radiation, when a swift electron perpendicularly crosses a…
Demonstration of topological wireless power transfer
Li Zhang, Yihao Yang, Zhao Jiang +6
Recent advances in non-radiative wireless power transfer (WPT) technique essentially relying on magnetic resonance and near-field coupling have successfully enabled a wide range of…
Chiral plasmons with twisted atomic bilayers
Xiao Lin, Zifei Liu, Tobias Stauber +5
Van der Waals heterostructures of atomically thin layers with rotational misalignments, such as twisted bilayer graphene, feature interesting structural moiré superlattices. Due to…
Review and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling
Shirui Luo, Jiahuan Cui, Madhu Vellakal +4
Model extrapolation to unseen flow is one of the biggest challenges facing data-driven turbulence modeling, especially for models with high dimensional inputs that involve many flo…