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您的检索式：作者名="Hanze DONG"
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| 1 | Engineering HOF‑Based Mixed‑Matrix Membranes for Efficient CO_(2) Separation显示文摘Hydrogen-bonded organic frameworks(HOFs)have emerged as a new class of crystalline porous materials,and their application in membrane technology needs to be explored.Herein,for the first time,we demonstrated the utilization of HOF-based mixed-matrix membrane for CO_(2) separation.HOF-21,a unique metallo-hydrogen-bonded organic framework material,was designed and processed into nanofillers via amine modulator,uniformly dispersing with Pebax polymer.Featured with the mix-bonded framework,HOF-21 possessed moderate pore size of 0.35 nm and displayed excellent stability under humid feed gas.The chemical functions of multiple binding sites and continuous hydrogen-bonded network jointly facilitated the mass transport of CO_(2).The resulting HOF-21 mixed-matrix membrane exhibited a permeability above 750 Barrer,a selectivity of~40 for CO_(2)/CH_(4) and~60 for CO_(2)/N_(2),surpassing the 2008 Robeson upper bound.This work enlarges the family of mixed-matrix membranes and lays the foundation for HOF membrane development. | Yuhan Wang Yanxiong Ren Yu Cao Xu Liang Guangwei He Hanze Ma Hongliang Dong Xiao Fang Fusheng Pan Zhongyi Jiang | 2023 | Nano-Micro Letters2023，15，4： | 2 |
| 2 | Extreme vocabulary learning显示文摘Regarding extreme value theory,the unseen novelclasses in the openset recognition can be seen as the extremevalues of training classes.Following this idea,we introducethe margin and coverage distribution to model the trainingclasses.A novel visual-semantic embedding framework-extreme vocabulary learning(EVoL)is proposed;the EVoL embeds the visual features into semantic space in a probabilisticway.Notably,we adopt the vast open vocabulary in the semantic space to help further constraint the margin and coverage of training classes.The learned embedding can directlybe used to solve supervised learning,zero-shot learning,andopen set recognition simultaneously.Experiments on twobenchmark datasets demonstrate the effectiveness of the proposed framework against conventional ways. | Hanze DONG Zhenfeng SUN Yanwei FU Shi ZHONG Zhengjun ZHANG Yu-Gang JIANG | 2020 | Frontiers of Computer Science2020，14，6： | 0 |
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