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| 1 | A review of oxygen reduction mechanisms for metal-free carbon-based electrocatalysts显示文摘The sluggish kinetics of Oxygen Reduction Reaction(ORR)at the cathode in proton exchange membrane fuel cells or metal-air batteries requires highly effective and stable electrocatalysts to boost the reaction.The low abundance and high price of Pt-based electrocatalysts hamper the widespread application of proton exchange membrane fuel cells and metal-air batteries.As promising alternatives,metal-free carbon materials,especially upon doping heteroatoms or creating defects demonstrated excellent ORR activity,which is as efficient as or even superior to commercial platinum on carbon.Significant progress on the development of advanced carbon materials as highly stable and durable catalysts has been achieved,but the catalytic mechanisms of these materials still remain undistinguished.In present review,we summarized the up-to-date progress in the studies of carbon materials,and emphasized on the combination of experiment and theory to clarify the underlying mechanisms of these materials.At last,we proposed the perspectives on the proper strategies of elucidating the mechanisms of carbon materials as electrocatalysts towards ORR. | Ruguang Ma Gaoxin Lin Yao Zhou Qian Liu Tao Zhang Guangcun Shan Minghui Yang Jiacheng Wang | 2019 | npj Computational Materials2019，，1： | 9 |
| 2 | Bph30confers resistance to brown planthopperby fortifying sclerenchyma in rice leaf sheaths显示文摘Phloem-feeding insects cause massive losses in agriculture and horticulture.Host plant resistance to phloem-feeding insects is often mediated by changes in phloem composition,which deter insect settling and feeding and decrease viability.Here,we report that rice plant resistance to the phloem-feeding brown planthopper(BPH)is associated with fortification of the sclerenchyma tissue,which is located just beneath the epidermis and a cell layer or two away from the vascular bundle in the rice leaf sheath.We found that BPHs prefer to feed on the smooth and soft region on the surface of rice leaf sheaths called the long-cell block.We identified Bph30 as a rice BPH resistance gene that prevents BPH stylets from reaching the phloem due to the fortified sclerenchyma.Bph30 is strongly expressed in sclerenchyma cells and enhances cellulose and hemicellulose synthesis,making the cell walls stiffer and sclerenchyma thicker.The structurally fortified sclerenchyma is a formidable barrier preventing BPH stylets from penetrating the leaf sheath tissues and arriving at the phloem to feed.Bph30 belongs to a novel gene family,encoding a protein with two leucine-rich domains.Another member of the family,Bph40,also conferred resistance to BPH.Collectively,the fortified sclerenchyma-mediated resistance mechanism revealed in this study expands our understanding of plant-insect interactions and opens a new path for controlling planthoppers in rice. | Shaojie Shi Huiying Wang Lingyun Nie Di Tan Cong Zhou Qian Zhang YiLi Bo Du Jianping Guo Jin Huang DiWu Xiaohong Zheng Wei Guan Junhan Shan Lili Zhu Rongzhi Chen Longjian Xue Linda L.Walling Guangcun He | 2021 | Molecular Plant2021，14，10： | 7 |
| 3 | Two-dimensional materials: Emerging toolkit for construction of ultrathin high-efficiency microwave shield and absorber显示文摘 | Mingjun Hu Naibo Zhang Guangcun Shan Jiefeng Gao Jinzhang Liu Robert K. Y. Li | 2018 | Frontiers of physics2018，13，4： | 6 |
| 4 | Graphene and other two-dimensional materials显示文摘Over the last few years,research on graphene [1-3]has progressed significantly,and as a result,a number of reallife applications of graphene have been realized [4,5].This carbon allotrope (for a review on other forms of carbon, see [6])resulted in a number of novel physical phenomena already discovered (ranging from new types of quantum Hall effect to universal optical conductivity)and dramatically expanded the range of possible applications for such materials (from transparent conductive coating to ultrafast photodetectors). | Kostya S. Novoselov Daria V. Andreeva Wencai Ren Guangcun Shan | 2019 | Frontiers of physics2019，14，1： | 4 |
| 5 | AED-Net:An Abnormal Event Detection Network显示文摘It has long been a challenging task to detect an anomaly in a crowded scene.In this paper,a selfsupervised framework called the abnormal event detection network(AED-Net),which is composed of a principal component analysis network(PCAnet)and kernel principal component analysis(kPCA),is proposed to address this problem.Using surveillance video sequences of different scenes as raw data,the PCAnet is trained to extract high-level semantics of the crowd’s situation.Next,kPCA,a one-class classifier,is trained to identify anomalies within the scene.In contrast to some prevailing deep learning methods,this framework is completely self-supervised because it utilizes only video sequences of a normal situation.Experiments in global and local abnormal event detection are carried out on Monitoring Human Activity dataset from University of Minnesota(UMN dataset)and Anomaly Detection dataset from University of California,San Diego(UCSD dataset),and competitive results that yield a better equal error rate(EER)and area under curve(AUC)than other state-of-the-art methods are observed.Furthermore,by adding a local response normalization(LRN)layer,we propose an improvement to the original AED-Net.The results demonstrate that this proposed version performs better by promoting the framework’s generalization capacity. | Tian Wang Zichen Miao Yuxin Chen Yi Zhou Guangcun Shan Hichem Snoussi | 2019 | Engineering2019，5，5： | 2 |
| 6 | Robust encoder–decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network显示文摘Dear editor,Mathematical expressions have been widely employed in scientific research,finance,and statistics,and play a significant role in educational activities.For example,if a computer can recognize teachers’handwritten expressions as standard printed mathematical expressions,this will undoubtedly be more conducive and helpful for improving the effectiveness of lectures.Thus,the question of how to make computers automatically recognize mathematical expressions is highly significant. | Guangcun SHAN Hongyu WANG Wei LIANG Kai CHEN | 2021 | Science China(Information Sciences)2021，64，3： | 2 |
| 7 | New topological semimetai Candidate of nonsymmorphic PdSb2 with unique six-fold degenerate point显示文摘Since the discovery of Majorana fermions in condensed matter systems, new quasiparticle predictions of novel fermions have been predicted in solid state systems which exhibit three, six or eight fold degenerate band crossings protected by crystal symmetty in presence of spin orbit coupling and time reversal symmetry [1]. The nontrivial topology in condensed matter systems results from the crossings of conduction and valence bands. And the cases of g = 3, 6, and 8 are of particularly interesting as they can only be found in condensed matter systems, having no high energy analogues as constrained by Poincare symmetry [2]. | Guangcun Shan Hai-Bin Gao | 2019 | Frontiers of physics2019，14，4： | 2 |
| 8 | Abnormal event detection via the analysis of multi-frame optical flow information显示文摘Security surveillance of public scene is closely relevant to routine safety of individual.Under the stimulus of this concern,abnormal event detection is becoming one of the most important tasks in computer vision and video processing.In this paper,we propose a new algorithm to address the visual abnormal detection problem.Our algorithm decouples the problem into a feature descriptor extraction process,followed by an AutoEncoder based network called cascade deep AutoEncoder(CDA).The movement information is represented by a novel descriptor capturing the multi-frame optical flow information.And then,the feature descriptor of the normal samples is fed into the CDA network for training.Finally,the abnormal samples are distinguished by the reconstruction error of the CDA in the testing procedure.We validate the proposed method on several video surveillance datasets. | Tian WANG Meina QIAO Aichun ZHU Guangcun SHAN Hichem SNOUSSI | 2020 | Frontiers of Computer Science2020，14，2： | 2 |
| 9 | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures显示文摘Research on the exposome has been extended to personal exposures,and full assessment of personal exposures is of great significance for personal health monitoring and epidemiological studies.Compared with static measurement instruments,wearable sensors are more suitable for dynamic personal exposures assessment.The development of flexible wearable sensors with the features of being physically comfortable and easy to use can be a promising solution for the measurement of personal exposures.With the support of big data and AI,large-scale personal exposures assessment could foster the transition from population-based to individual-based epidemiological studies and upgrade the intelligence level of medical services. | Guangcun Shan Xin Li Wei Huang | 2020 | The Innovation2020，1，2： | 2 |
| 10 | Machine learning prediction of magnetic properties of Fe-based metallic glasses considering glass forming ability显示文摘Fe-based metallic glasses(MGs)have shown great commercial values due to their excellent soft magnetic properties.Magnetism prediction with consideration of glass forming ability(GFA)is of great signifi-cance for developing novel functional Fe-based MGs.However,theories or models established based on condensed matter physics exhibit limited accuracy and some exceptions.In this work,based on 618 Fe-based MGs samples collected from published works,machine learning(ML)models were well trained to predict saturated magnetization(B_(s))of Fe-based MGs.GFA was treated as a feature using the experimental data of the supercooled liquid region(△T_(x)).Three ML algorithms,namely eXtreme gradient boosting(XGBoost),artificial neural networks(ANN)and random forest(RF),were studied.Through feature selection and hyperparameter tuning,XGBoost showed the best predictive performance on the randomly split test dataset with determination coefficient(R^(2))of 0.942,mean absolute percent error(MAPE)of 5.563%,and root mean squared error(RMSE)of 0.078 T.A variety of feature importance rankings derived by XGBoost models showed that T_(x) played an important role in the predictive performance of the models.This work showed the proposed ML method can simultaneously aggregate GFA and other features in ther-modynamics,kinetics and structures to predict the magnetic properties of Fe-based MGs with excellent accuracy. | Xin Li Guangcun Shan C.H.Shek | 2022 | Journal of Materials Science & Technology2022，，8： | 2 |
| 11 | New Mn2‐based Heusler Compounds显示文摘 | Guido Kreiner Adel Kalache Steffen Hausdorf Vajiheh Alijani Jin‐Feng Qian Guangcun Shan Ulrich Burkhardt Siham Ouardi Claudia Felser | 2014 | Chem2014，，5： | 1 |
| 12 | Bifunctional oxygen electrocatalysts for rechargeable zinc-air battery based on MXene and beyond显示文摘Oxygen electrocatalysts are of great importance for the air electrode in zinc–air batteries(ZABs).Owing to large surface area,high electrical conductivity and ease of modification,two-dimensional(2D)materials have been widely studied as oxygen electrocatalysts for the rechargable ZABs.The elaborately modified 2D materials-based electrocatalysts,usually exhibit excellent performance toward the oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),which have attracted extensive interests of worldwide researchers.Given the rapid development of bifunctional electrocatalysts toward ORR and OER,the latest progress of non-noble electrocatalysts based on layered double hydroxides(LDHs),graphene,and MXenes are intensively reviewed.The discussion ranges from fundamental structure,synthesis,electrocatalytic performance of these catalysts,as well as their applications in the rechargeable ZABs.Finally,the challenges and outlook are provided for further advancing the commercialization of rechargeable ZABs. | Jing Zhang Zixiang Cui Jie Liu Chunjie Li Haoyi Tan Guangcun Shan Ruguang Ma | 2023 | Frontiers of physics2023，18，1： | 1 |
| 13 | Lipidomic analyses reveal enhanced lipolysis in planthoppers feeding on resistant host plants显示文摘The brown planthopper(BPH)(Nilaparvata lugens St?l)is a highly destructive pest that seriously damages rice(Oryza sativa L.)and causes severe yield losses.To better understand the physiological and metabolic mechanisms through which BPHs respond to resistant rice,we combined mass-spectrometry-based lipidomics with transcriptomic analysis and gene knockdown techniques to compare the lipidomes of BPHs feeding on either of the two resistant(NIL-Bph6 and NIL-Bph9)plants or a wild-type,BPH susceptible(9311)plant.Insects that were fed on resistant rice transformed triglyceride(TG)to phosphatidylcholine(PC)and digalactosyldiacylglycerol(DGDG),with these lipid classes showing significant alterations in fatty acid composition.Moreover,the insects that were fed on resistant rice were characterized by prominent expression changes in genes involved in lipid metabolism processes.Knockdown of the NlBmm gene,which encodes a lipase that regulates the mobilization of lipid reserves,significantly increased TG content and feeding performance of BPHs on resistant plants relative to dsGFP-injected BPHs.Our study provides the first detailed description of lipid changes in BPHs fed on resistant and susceptible rice genotypes.Results from BPHs fed on resistant rice plants reveal that these insects can accelerate TG mobilization to provide energy for cell proliferation,body maintenance,growth and oviposition. | Xiaohong Zheng Yeyun Xin Yaxin Peng Junhan Shan Ning Zhang Di Wu Jianping Guo Jin Huang Wei Guan Shaojie Shi Cong Zhou Rongzhi Chen Bo Du Lili Zhu Fang Yang Xiqin Fu Longping Yuan Guangcun He | 2021 | Science China(Life Sciences)2021，64，9： | 1 |
| 14 | Flexoelectricity Driven Fano Resonance in Slotted Carbon Nanotubes for Decoupled Multifunctional Sensing显示文摘Multifunctionality,interference-free signal readout,and quantum effect are important considerations for flexible sensors equipped within a single unit towards further miniaturization.To address these criteria,we present the slotted carbon nanotube(CNT)junction features tunable Fano resonance driven by flexoelectricity,which could serve as an ideal multimodal sensory receptor.Based on extensive ab initio calculations,we find that the effective Fano factor can be used as a temperature-insensitive extrinsic variable for sensing the bending strain,and the Seebeck coefficient can be used as a strain-insensitive intrinsic variable for detecting temperature.Thus,this dual-parameter permits simultaneous sensing of temperature and strain without signal interference.We further demonstrate the applicability of this slotted junction to ultrasensitive chemical sensing which enables precise determination of donor-type,acceptor-type,and inert molecules.This is due to the enhancement or counterbalance between flexoelectric and chemical gating.Flexoelectric gating would preserve the electron–hole symmetry of the slotted junction whereas chemical gating would break it.As a proof-of-concept demonstration,the slotted CNT junction provides an excellent quantum platform for the development of multistimuli sensation in artificial intelligence at the molecular scale. | Jinlong Ren Yingchao Liu Xingqiang Shi Guangcun Shan Mingming Tang Chaocheng Kaun Kunpeng Dou | 2021 | Research2021，，1： | 1 |
| 15 | Flexoelectricity Driven Fano Resonance in Slotted Carbon Nanotubes for Decoupled Multifunctional Sensing显示文摘Mulifunctionality,interference fre signal readout,and quantum eft are important considerations for flexible sensors equipped within a single unit towards further miniaturization.To address these criteria,we present the slotted carbon nanotube(CNT)junction features lunable Fano resonance driven by flexoelectricity,which could serve as an ideal multimodal sensory receptor.Based on extensive ab initio calculations,we find that the efective Fano factor can be used as a temperature insensitive extrinsic variable for sensing the bending strain,and the Seebeck cefficient can be used as a strain-insensitive intrinsic variable for detecting temperalure.Thus,this dual parameter permits simultaneous sensing of temperature and strain without signal interference.We further demonstrale the applcability of this slotted junction to ultrasensitive chemical sensing which enables precise determination of donor type.acceptor type.and inert molecules.This is due to the enhancement or counterbalance between flexoelectric and chemical gating.Flexoelectric gating would preserve the electron-hole symmetry of the slotted junction whereas chemical gating would break it.As a proof-of-concept demonstration,the slotted CNT junction provides an excellent quantum platform for the development of mulistimuli sensation in artificial itelligence at the molecular scale. | Jinlong Ren Yingchao Liu Xingqiang Shi Guangcun Shan Mingming Tang Chaocheng Kaun Kunpeng Dou | 2022 | Research2022，，2： | 0 |
| 16 | Guiding topological semimetals towards water oxidation in a Kagomé crystal lattice显示文摘Photocatalytic splitting of relatively plentiful water into O2 and H2 supplies a possible solution for storing solar energy to meet energy demands and environmental requirements[1].The water oxidation half reaction to form dioxygen known as the oxygen evolution reaction(OER,2H2O→O2+4H++4e-)is attracting more attention because there are already known materials for efficient mediation of the reduction step(4H++4e-→2H2)[2].Current research focuses on understanding the mechanisms of OER and development of new OER catalysts.The widely studied OER systems include platinum surface[1],transition metal oxides[2],transition metal complexes[3],3d transition metal spinels and perovskites[4],and metal-organic framework(MOF)materials based on3d transition metals[5].In these materials,transition metals in the surface generally serve as active centers for the OER,while the surrounding atomic environments determine their performance and stability[6].However,preparation of the surface has a large effect on reactivity(defects,kinks,low coordinate sites)therefore it is difficult to predict an OER material’s properties by its bulk structure. | GuangCun Shan JiLiang Zhang | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，3： | 0 |
| 17 | Vertical-external-cavity surface-emitting lasers and quantum dot lasers显示文摘洞的使用为认识到量一直在打开崭新的机会操作量点(QD ) 的光子排放功能的 nanophotonic 设备和量信息设备。在半导体激光的地里,特别地, QD 作为量井(QW ) 的一种优异选择被介绍在 vertical-external-cavity surfaceemitting 激光(VECSEL ) 压制阀值水流的温度依赖。在这个工作,性质的评论和半导体 VECSEL 设备和 QD 激光设备的开发被给。基于 VECSEL 设备的特征,主要强调被放在半导体 QD VECSEL 的工艺的途径的最近的发展。从两单个 QD nanolaser 和洞量 electrodynamics (证完) 的观点,然后,源于 QD 洞的强壮的联合的一个 single-QD-cavity 系统被介绍。在这评论,我们将盖住基本方面和 QD VECSEL 设备的工艺的途径。最后,这里的介绍评论为 QD VECSEL 技术的发展提供了深卓见进有用指南,未来量功能的 nanophotonic 设备和整体的 photonic 集成电路(MPhICs ) 。 | Guangcun SHAN Xinghai ZHAO Mingjun HU Chan-Hung SHEIK WeiHUANG | 2012 | Frontiers of Optoelectronics2012，5，2： | 0 |
| 18 | Nickel-metal-organic framework nanobelt based composite membranes for efficient Sr^(2+) removal from aqueous solution显示文摘The sorption removal of radionuclides Sr^(2+) using a freestanding functional membrane is an interesting and significant research area in the remediation of radioactive wastes.Herein,a novel self-assembled membrane consisting of metaleorganic framework(MOF)nanobelts and graphene oxides(GOs)are synthesized through a simple and facile filtration method.The membrane possesses a unique interwove morphology as evidenced from SEM images.Batch experiments suggest that the GO/Ni-MOF composite membrane could remove Sr^(2+) ions from aqueous solutions and the Sr^(2+) adsorption capacity and efficiency of the GO/Ni-MOF composite membrane is relevant to the MOF content in the composite.Thus,the dominant interaction mechanism was interface or surface complexation,electrostatic interaction as well as ion substitution.The maximum effective sorption of Sr^(2+) over GO/Ni-MOF membrane is 32.99% with 2 mg composite membrane containing a high content of Ni-MOF at 299 K in 100 mg/L Sr^(2+) aqueous solution.The FT-IR and XPS results suggest that the synergistic effect between GO and Ni-MOF is determinant in the sorption Sr^(2+) process.The GO/Ni-MOF composite membrane is demonstrated to have the advantages of efficient removal of Sr^(2+),low cost and simple synthesis route,which is promising in the elimination of radionuclide contamination. | Junye Cheng Kaili Liu Xin Li Lei Huang Jie Liang Guangping Zheng Guangcun Shan | 2020 | Environmental Science and Ecotechnology2020，，3： | 0 |
| 19 | Bioinspired mineral MXene hydrogels for tensile strain sensing and radionuclide adsorption applications显示文摘MXene-based hydrogels have drawn considerable attention as flexible and wearable sensors.However,the application of MXene-based hydrogels after sensing failure has rarely been investigated,which is of great significance for expanding their engineering application.In this work,multifunctional mineral MXene hydrogels(MMHs)were synthesized via a simple method inspired by biomineralization.The prepared MMHs were stretchable,self-healable and conductive,and can be used to fabricate wearable tensile strain sensors showing a super-wide sensing range with excellent sensitivity.MMHs-based strain sensors were designed to be directly attached to the skin surface to detect tiny and large human motions.In addition,with the advantages of a large specific area,excellent hydrophilicity and abundant active adsorption sites for MXene nanosheets and hydrogels,dehydrated MMHs were used as highly efficient adsorbents for the removal of strontium ions from aqueous solutions.This work shows the great potential of MXene in promoting the development of nextgeneration functional materials. | Xin Li Guangcun Shan Ruguang Ma Chan-Hung Shek Hongbin Zhao Seeram Ramakrishna | 2022 | Frontiers of physics2022，17，6： | 0 |
| 20 | Accelerating temporal action proposal generation via high performance computing显示文摘Temporal action proposal generation aims to output the starting and ending times of each potential action for long videos and often suffers from high computation cost.To address the issue,we propose a new temporal convolution network called Multipath Temporal ConvNet(MTCN).In our work,one novel high performance ring parallel architecture based is further introduced into temporal action proposal generation in order to respond to the requirements of large memory occupation and a large number of videos.Remarkably,the total data transmission is reduced by adding a connection between multiple-computing load in the newly developed architecture.Compared to the traditional Parameter Server architecture,our parallel architecture has higher efficiency on temporal action detection tasks with multiple GPUs.We conduct experiments on ActivityNet-1.3 and THUMOS14,where our method outperforms-other state-of-art temporal action detection methods with high recall and high temporal precision.In addition,a time metric is further proposed here to evaluate the speed performancein the distributed training process. | Tian Wang Shiye Lei Youyou Jiang Choi Chang Hichem Snoussi Guangcun Shan Yao Fu | 2022 | Frontiers of Computer Science2022，16，4： | 0 |
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