Z
Zhen Li
Researcher at Wuhan University
Publications - 3347
Citations - 95191
Zhen Li is an academic researcher from Wuhan University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 1712 publications receiving 71351 citations. Previous affiliations of Zhen Li include Tsinghua University & Hong Kong University of Science and Technology.
Papers
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New second-order nonlinear optical polymers containing the same isolation groups: Optimized syntheses and nonlinear optical properties
TL;DR: In this paper, a series of second-order nonlinear optical polymers with fluorene moieties as isolation spacers were successfully prepared based on control experiments, and the tested NLO properties of the polymers demonstrated that the isolation groups with big size do not always benefit the resultant NLO effect.
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Three-dimensional Covalent Organic Frameworks as Host Materials for Lithium-Sulfur Batteries
TL;DR: In this paper, two 3D covalent organic frameworks (3D-COFs) were synthesized and employed as host materials for lithium-sulfur batteries for improving the battery performance, which can not only trap lithium polysulfides (PSs) via physical adsorption inside the pores but also capture PSs by chemical interactions to relieve the shuttle effect.
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Solution-processable π-conjugated dendrimers with hole-transporting, electroluminescent and fluorescent pattern properties
Zhong'an Li,Zuo-Quan Jiang,Shanghui Ye,Cathy Ka Wai Jim,Gui Yu,Yunqi Liu,Jingui Qin,Ben Zhong Tang,Zhen Li +8 more
TL;DR: In this paper, four π-conjugated dendrimers G1 and G2-1-1−G2-3, constructed by triphenylamine and carbazole moieties, were successfully prepared via a simple synthetic route.
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Synthesis of a cyclen-containing disubstituted polyacetylene with strong green photoluminescence and its application as a sensitive chemosensor towards sulfide anion with good selectivity and high sensitivity
TL;DR: In this article, a new disubstituted polyacetylene (P2) bearing cyclen moieties in the side chains, was prepared conveniently and exhibited strong green fluorescence.
Posted Content
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN.
TL;DR: A Knowledge Concentration method is proposed, which effectively transfers the knowledge from dozens of specialists into one single model (one student network) to classify 100K object categories, and performs significantly better than the baseline generalist model.