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Qingliang Liao

Researcher at University of Science and Technology Beijing

Publications -  205
Citations -  11412

Qingliang Liao is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Perovskite (structure) & Nanorod. The author has an hindex of 52, co-authored 178 publications receiving 7626 citations.

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Single-Atom Vacancy Defect to Trigger High-Efficiency Hydrogen Evolution of MoS2

TL;DR: Bridging the gap, to some extent, between precise design from theory and practical modulation in experiments, the proposed strategy extends defect engineering to a more sophisticated level for further unlocking the potential of catalytic performance enhancement.
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Flexible and Highly Sensitive Strain Sensors Fabricated by Pencil Drawn for Wearable Monitor

TL;DR: In this paper, a low-cost fabrication strategy to efficiently construct highly sensitive graphite-based strain sensors by pencil-trace drawn on flexible printing papers is reported, which can be operated at only two batteries voltage of 3 V, and can be applied to variously monitoring microstructural changes and human motions with fast response/relaxation times of 110 ms, a high gauge factor (GF) of 536.6, and high stability >10 000 bending-unbending cycles.
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Toward the Application of High Frequency Electromagnetic Wave Absorption by Carbon Nanostructures

TL;DR: The carbon nanostructures and related nanocomposites represent the developing orientation of high‐performance EM wave absorption materials and the shortcomings, challenges, and prospects are presented.
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Stretchable-Rubber-Based Triboelectric Nanogenerator and Its Application as Self-Powered Body Motion Sensors

TL;DR: In this paper, a stretchable rubber-based (SR-based) triboelectric nanogenerator (TENG) is developed that can not only harvest energy but also serve as self-powered multifunctional sensors.
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A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring

TL;DR: This approach provides a new prospect for deformable and stretchable power sources, as well as self-powered sensors, and has potential applications in various areas such as robotics, biomechanics, physiology, kinesiology, and entertainment.