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Long Xia

Researcher at Harbin Institute of Technology

Publications -  124
Citations -  3142

Long Xia is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Reflection loss & Graphene. The author has an hindex of 23, co-authored 110 publications receiving 1931 citations.

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Synthesis of lightweight N-doped graphene foams with open reticular structure for high-efficiency electromagnetic wave absorption

TL;DR: In this paper, an N-doped graphene foams with high porosity and open reticular structures are prepared via a self-assembled hydrothermal reaction and a freeze-drying process.
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Fe3O4@LAS/RGO composites with a multiple transmission-absorption mechanism and enhanced electromagnetic wave absorption performance

TL;DR: In this article, Fe3O4@LAS/RGO composites with uniform size and extraordinary electromagnetic wave absorption properties were successfully synthesized by a simple three-step method.
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O-, N-Coordinated single Mn atoms accelerating polysulfides transformation in lithium-sulfur batteries

TL;DR: In this article, single manganese atoms implanted in oxygen and nitrogen double-doped hollow carbon sphere frameworks (Mn/C-(N, O)) are prepared as electrocatalyst and anchoring sites for lithium sulfur batteries.
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Permittivity-Regulating Strategy Enabling Superior Electromagnetic Wave Absorption of Lithium Aluminum Silicate/rGO Nanocomposites

TL;DR: The results demonstrate that the interfacial polarization, the Debye dipolar relaxation, the well-matched characteristic impedance, and the quarter-wavelength matching all play important roles in improving the microwave absorption properties of LAS/rGO-KH-550 nanocomposites.
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A theoretical strategy of pure carbon materials for lightweight and excellent absorption performance

TL;DR: In this paper, the key relationship between Δe and EWA property is proved by theoretical calculation. But the authors still remain a huge challenge that whether the pure carbon materials with excellent conductivity can be used as EWA alone and how the performance can be optimized.