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| 1 | Synthesis,structure and property of one porous Zn(salen)-based metal-metallosalen framework显示文摘Chiral Schiff-base ligand L was synthesized through six steps in good overall yield from readily available 2-tert-butylphenol and was used to construct one chiral porous metal-metallosalen framework,[Zn5(μ3-OH)2(ZnL)4(H2O)2]·18H2O(1,L=5′,5″-(1E,1′E)-(1R,2R)-cyclohexane-1,2-diylbis(azan-1-yl-1-ylidene)bis(methan-1-yl-1-ylidene)bis(3′-tert-butyl-4′-hydroxybiphenyl-4-carboxylic acid),under mild reaction conditions.1 was characterized by IR,TGA,CD,UV,PL,single-crystal and powder X-ray crystallography.The structure of 1 displays a 3-fold interpenetrating 3D framework with 1D channel of 1.14 nm×0.58nm and imparts unique Zn(salen)units on the surface of the pore,in which(ZnL)2dimer acts as multi-functionlized metalloligand.1 is thermally robust with network decomposition temperature of 400oC and it also exhibits strong photoluminescence in the visible region. | PENG YongWu ZHU ChengFeng CUI Yong | 2014 | Science China Chemistry2014，57，1： | 2 |
| 2 | In-situ emb e dding zeolitic imidazolate framework derived Co–N–C bifunctional catalysts in carbon nanotube networks for flexible Zn–air batteries显示文摘Recently, the development of high-performance bifunctional oxygen catalysts integrated with flexible conductive scaffolds f or rechargeable metal-air batteries has attracted considerable interest, driving by fastgrowing wearable electronics. Herein, we report a flexible bifunctional oxygen catalyst thin film consisting of Co–N–C bifunctional catalysts embedding in carbon nanotube(CNT) networks. The catalyst is readily prepared by pyrolysis of cobalt-based zeolitic imidazolate frameworks(ZIF-67) that are in-situ synthesized in CNT networks. Such catalyst film demonstrates very high catalytic activities for oxygen reduction(onset potential: 0.91 V, and half-wave potential: 0.87 V vs. RHE) and oxygen evolution(10 m Acm^-2 at 1.58 V) reactions, high methanol tolerance property, and long-term stability(97% current retention). Moreover, our integrated catalyst film shows very good structure flexibility and robustness. Based on the obtained film air electrodes, flexible Zn–air batteries demonstrate low charging and discharging overpotentials(0.82 V at 1 m A cm^-1) and excellent structure stability in the bending tests. These results indicate that presently reported catalyst films are potential air electrodes for flexible metal–air batteries. | Bo Lv Sha Zeng Wei Yang Jian Qiao Chao Zhang Chengfeng Zhu Minghai Chen Jiangtao Di Qingwen Li | 2019 | Journal of Energy Chemistry2019，28，11： | 2 |
| 3 | Mesoporous metal–organic framework materials显示文摘 | XUAN Weimin ZHU Chengfeng LIU Yan | 2012 | Chem Soc Rev2012，41，： | 1 |
| 4 | Meso- porous metal-organic framework materials 显示文摘 | Weimin Xuan Chengfeng Zhu Yan Liu | 2012 | Chem Soc Rev2012，41，： | 1 |
| 5 | Chiral nanoporous metal-metallosalen frameworks for hydrolyt- ic kinetic resolution of epoxides 显示文摘 | Chengfeng Zhu Guozan Yuan Xu Chen | 2012 | J Am Chem Soc2012，134，： | 1 |
| 6 | Lumines- eent mieroporous metal-metallosalen frameworks with the primitive cubic net 显示文摘 | Chengfeng Zhu Weimin Xuan Yong Cui | 2012 | Dalton Trans2012，41，： | 1 |
| 7 | Synthesis,structure and photoluminescence of two porous metal-organoboron frameworks with rtl topology显示文摘Rigid trigonal tris(3-pyridylduryl)borane L was synthesized through four steps in good overall yield from readily available 1,2,4,5-tetramethylbenzene and was used to construct two porous cadmium(II) complexes Cd(L)X2.G(X = Cl,Br;G = guset molecules),1(Cd(L)Cl2.EtOH.iPrOH.3H2O) and 2(Cd(L)Br2.MeOH.C7H8.3H2O),under mild reaction conditions.1 and 2 are isostructural and featured with 3D porous metal-organoboron framewoks with rtl topology,in which L acts as a 3-connected node while a dicadmium motif serves as 6-connected node.In addition,1 and 2 exhibit strong photoluminescence in the visible region and 1 shows moderate adsorption ability of carbon dioxide at 273 K. | LIU Yan XU Xin XUAN WeiMin ZHU ChengFeng CUI Yong | 2011 | Science China Chemistry2011，54，9： | 1 |
| 8 | Real-timecontrol of 3D virtual human motion using adepth-sensing camera for agricultural machinery training显示文摘 | Wang Chengfeng Ma Qin Zhu Dehai | 2013 | Mathematical and Computer Modelling (S0895-7177)2013，58，： | 1 |
| 9 | High-performance carbon nanotube/polyaniline artificial yarn muscles working in biocompatible environments显示文摘Implantable artificial muscles are of great importance for muscle function restoration and physical augmentation but are still challenging.Herein,we report an artificial muscle by soaking-polymerization of polyaniline(PANI)inside a carbon nanotube(CNT)yarn.Working in aqueous biocompatible solutions,the yarn muscle generates a large contractile stroke of 17%and high isometric stress of 8 MPa at voltages lower than 2 V.The excellent performance can be ascribed to the large actuation volume that is enabled by the fast electrochemical redox of PANI confined in a coiled yarn structure.The actuation performance outperforms that of previously reported aqueous artificial yarn muscles.Moreover,the yarn muscle can work well and maintain excellent actuating performance in other biocompatible solutions such as normal saline and Na2SO4 aqueous solution,which makes the CNT/PANI yarn muscles suitable for implantable bionic applications.Finally,a biomimetic arm was fabricated to demonstrate the applications of the CNT/PANI yarn artificial muscle in implantable muscle,underwater robots,and soft exoskeletons. | Jian Qiao Yulong Wu Chengfeng Zhu Lizhong Dong Kunjie Wu Yulian Wang Wei Yang Min Li Jiangtao Di Qingwen Li | 2023 | Nano Research2023，16，3： | 0 |
| 10 | CoNi nanoparticles anchored inside carbon nanotube networks by transient heating:Low loading and high activity for oxygen reduction and evolution显示文摘Transitional metal alloy and compounds have been developed as the low cost and efficient bifunctional electrocatalysts for oxygen reduction reaction(ORR)and oxygen evolution reaction(OER).However,a high mass loading of these catalysts is commonly needed to achieve acceptable catalytic performance,which could cause such problems as battery weight gain,mass transport blocking,and catalyst loss.We report herein the preparation of fine CoNi nanoparticles(5-6 nm)anchored inside a nitrogendoped defective carbon nanotube network(CoNi@N-DCNT)by a transient Joule heating method.When utilized as an electrocatalyst for oxygen reduction and evolution in alkaline media,the CoNi@N-DCNT film catalyst with a very low mass loading of 0.06 mg cm^(-2) showed excellent bifunctional catalytic performance.For ORR,the onset potential(Eonset)and the half-wave potential(E_(1/2))were 0.92 V versus reversible hydrogen electrode(vs.RHE)and 0.83 V(vs.RHE),respectively.For OER,the potential at the current density(J)of 10 mA cm^(-2)(E_(10))was 1.53 V,resulting in an overpotential of 300 mV much lower than that of the commercial RuO_(2) catalyst(320 mV).The potential gap between E_(1/2) and E_(10) was as small as 0.7 V.Considering the low mass loading,the mass activity at E_(10) reached at 123.2 A g^(-1),much larger than that of the RuO_(2) catalyst and literature results of transitional metal-based bifunctional catalysts.Moreover,the CoNi@N-DCNT film catalyst showed very good long-term stability during the ORR and OER test.The excellent bifunctional catalytic performance could be attributed to the synergistic effect of the bimetal alloy. | Chengfeng Zhu Wei Yang Jiangtao Di Sha Zeng Jian Qiao Xiaona Wang Bo Lv Qingwen Li | 2021 | Journal of Energy Chemistry2021，30，3： | 0 |
| 11 | Decoding of Raman spectroscopy-encoded suspension arrays based on the detail constraint cycle domain adaptive model显示文摘Previous studies have already shown that Raman spectroscopy can be used in the encoding of suspension array technology.However,almost all existing convolutional neural network-based decoding approaches rely on supervision with ground truth,and may not be well generalized to unseen datasets,which were collected under different experimental conditions,applying with the same coded material.In this study,we propose an improved model based on CyCADA,named as Detail constraint Cycle Domain Adaptive Model(DCDA).DCDA implements the clasification of unseen datasets through domain adaptation,adapts representations at the encode level with decoder-share,and enforces coding features while leveraging a feat loss.To improve detailed structural constraints,DCDA takes downsample connection and skips connection.Our model improves the poor generalization of existing models and saves the cost of the labeling process for unseen target datasets.Compared with other models,extensive experiments and ablation studies show the superiority of DCDA in terms of classification stability and generalization.The model proposed by the research achieves a classification with an accuracy of 100%when applied in datasets,in which the spectrum in the source domain is far less than the target domain. | Yu Yao Kaiwen Xue Liwang Liu Shanshan Zhu Chengfeng Yue Yanhong Ji | 2022 | Journal of Innovative Optical Health Sciences2022，15，4： | 0 |
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