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Xiaojun Liu

Researcher at Duke University

Publications -  11
Citations -  1547

Xiaojun Liu is an academic researcher from Duke University. The author has contributed to research in topics: Metamaterial & Terahertz radiation. The author has an hindex of 10, co-authored 11 publications receiving 1297 citations. Previous affiliations of Xiaojun Liu include Tianjin University.

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Active control of electromagnetically induced transparency analogue in terahertz metamaterials

TL;DR: This work presents active optical control of metamaterial-induced transparency through active tuning of the dark mode, and opens up the possibility for designing novel chip-scale ultrafast devices that would find utility in optical buffering and terahertz active filtering.
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Electromagnetically induced transparency in terahertz plasmonic metamaterials via dual excitation pathways of the dark mode

TL;DR: In this article, the authors observe the excitation and tuning of electromagnetically induced transparency (EIT) by the interference between different excitation pathways of the dark mode in a planar terahertz metamaterial.
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Third-Harmonic Generation Enhancement by Film-Coupled Plasmonic Stripe Resonators

TL;DR: In this paper, the authors investigate the impact of the plasmonic interaction on the third-harmonic generation from a system of film-coupled nanostripes operating at 1500 nm.
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Film-coupled nanoparticles by atomic layer deposition: Comparison with organic spacing layers

TL;DR: In this article, the spectral properties of film-coupled plasmon-resonant, gold nanoparticles with dielectric spacer layers fabricated either using atomic layer deposition or using organic layers (polyelectrolytes or self-assembled monolayers of molecules).
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Phaseless computational imaging with a radiating metasurface

TL;DR: A novel 3D imaging system is conceived based on 'phaseless' and compressed measurements, with benefits from recent advances in the field of phase retrieval, and a comparison of the estimated images from both complex valued and phaseless measurements is presented, verifying the fidelity of Phaseless computational imaging.