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Wanqiang Liu
Researcher at Changchun University of Science and Technology
Publications - 111
Citations - 1298
Wanqiang Liu is an academic researcher from Changchun University of Science and Technology. The author has contributed to research in topics: Alloy & Hydrogen storage. The author has an hindex of 15, co-authored 90 publications receiving 664 citations. Previous affiliations of Wanqiang Liu include Hunan University of Science and Technology.
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Signal transduction from small particles: Sulfur nanodots featuring mercury sensing, cell entry mechanism and in vitro tracking performance
Gongxi Qiao,Lei Liu,Xiaoxing Hao,Junke Zheng,Wanqiang Liu,Jinwei Gao,Cheng Cheng Zhang,Qianming Wang +7 more
TL;DR: In this article, a novel sulfur quantum dot as the intrinsic fluorescent sensor has been established and the signal transduction involves interaction of mercury ions with sulfur atoms which belongs to the internal system of the fluorophore.
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Electrostatic Shielding Regulation of Magnetron Sputtered Al-Based Alloy Protective Coatings Enables Highly Reversible Zinc Anodes.
Jiaxian Zheng,Zi-Ling Huang,Ye Zeng,Wanqiang Liu,Binbin Wei,Zhengbing Qi,Zhoucheng Wang,Chuan Xia,Hanfeng Liang +8 more
TL;DR: In this article , the authors proposed a generate strategy to eliminate the tip effect by utilizing the electrostatic shielding effect, which is achieved by coating Zn anodes with magnetron sputtered Al-based alloy protective layers.
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Stabilizing effects of atomic Ti doping on high-voltage high-nickel layered oxide cathode for lithium-ion rechargeable batteries
Yong-liang Cheng,Yan Sun,Chang-Mu Chu,Li-Min Chang,Zhaomin Wang,Dongyu Zhang,Wanqiang Liu,Zechao Zhuang,Limin Wang +8 more
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Artificial neural network prediction of glass transition temperature of polymers
Wanqiang Liu,Chenzhong Cao +1 more
TL;DR: In this article, the authors used the quantum chemical descriptors obtained directly from polymer monomers to represent the essential factors that are governing the nature of glass transition in polymers and used a back-propagation artificial neural network (ANN) to generate the model.
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2D MnO2 nanosheets generated signal transduction with 0D carbon quantum dots: synthesis strategy, dual-mode behavior and glucose detection.
TL;DR: Peony flower has been employed for the first time as a new carbon precursor to prepare green-emitting carbon nanodots (CDs) and such a consecutive recognition process provides valuable insights for bio-analysis.