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| 1 | Three-dimensional chiral microstructures fabricated by structured optical vortices in isotropic material显示文摘Optical vortices,a type of structured beam with helical phase wavefronts and‘doughnut’-shaped intensity distributions,have been used to fabricate chiral structures in metals and spiral patterns in anisotropic polarization-dependent azobenzene polymers.However,in isotropic polymers,the fabricated microstructures are typically confined to non-chiral cylindrical geometry due to the two-dimensional‘doughnut’-shaped intensity profile of the optical vortices.Here we develop a powerful strategy to realize chiral microstructures in isotropic material by coaxial interference of a vortex beam and a plane wave,which produces threedimensional(3D)spiral optical fields.These coaxial interference beams are generated by designing contrivable holograms consisting of an azimuthal phase and an equiphase loaded on a liquid-crystal spatial light modulator.In isotropic polymers,3D chiral microstructures are achieved under illumination using coaxial interference femtosecond laser beams with their chirality controlled by the topological charge.Our further investigation reveals that the spiral lobes and chirality are caused by interfering patterns and helical phase wavefronts,respectively.This technique is simple,stable and easy to perform,and it offers broad applications in optical tweezers,optical communications and fast metamaterial fabrication. | Jincheng Ni Chaowei Wang Chenchu Zhang Yanlei Hu Liang Yang Zhaoxin Lao Bing Xu Jiawen Li Dong Wu Jiaru Chu | 2017 | Light(Science & Applications)2017，6，1： | 28 |
| 2 | Quasi-phase-matching-division multiplexing holography in a three-dimensional nonlinear photonic crystal显示文摘Nonlinear holography has recently emerged as a novel tool to reconstruct the encoded information at a new wavelength,which has important applications in optical display and optical encryption.However,this scheme still struggles with low conversion efficiency and ineffective multiplexing.In this work,we demonstrate a quasi-phasematching(QPM)-division multiplexing holography in a three-dimensional(3D)nonlinear photonic crystal(NPC).3D NPC works as a nonlinear hologram,in which multiple images are distributed into different Ewald spheres in reciprocal space.The reciprocal vectors locating in a given Ewald sphere are capable of fulfilling the complete QPM conditions for the high-efficiency reconstruction of the target image at the second-harmonic(SH)wave.One can easily switch the reconstructed SH images by changing the QPM condition.The multiplexing capacity is scalable with the period number of 3D NPC.Our work provides a promising strategy to achieve highly efficient nonlinear multiplexing holography for high-security and high-density storage of optical information. | Pengcheng Chen Chaowei Wang Dunzhao Wei Yanlei Hu Xiaoyi Xu Jiawen Li Dong Wu Jianan Ma Shengyun Ji Leran Zhang Liqun Xu Tianxin Wang Chuan Xu Jiaru Chu Shining Zhu Min Xiao Yong Zhang | 2021 | Light(Science & Applications)2021，10，8： | 5 |
| 3 | A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data显示文摘Earth observations and model simulations are generating big multidimensional array-based raster data.However,it is difficult to efficiently query these big raster data due to the inconsistency among the geospatial raster data model,distributed physical data storage model,and the data pipeline in distributed computing frameworks.To efficiently process big geospatial data,this paper proposes a three-layer hierarchical indexing strategy to optimize Apache Spark with Hadoop Distributed File System(HDFS)from the following aspects:(1)improve I/O efficiency by adopting the chunking data structure;(2)keep the workload balance and high data locality by building the global index(k-d tree);(3)enable Spark and HDFS to natively support geospatial raster data formats(e.g.,HDF4,NetCDF4,GeoTiff)by building the local index(hash table);(4)index the in-memory data to further improve geospatial data queries;(5)develop a data repartition strategy to tune the query parallelism while keeping high data locality.The above strategies are implemented by developing the customized RDDs,and evaluated by comparing the performance with that of Spark SQL and SciSpark.The proposed indexing strategy can be applied to other distributed frameworks or cloud-based computing systems to natively support big geospatial data query with high efficiency. | Fei Hu Chaowei Yang Yongyao Jiang Yun Li Weiwei Song Daniel Q.Duffy John L.Schnase Tsengdar Lee | 2020 | International Journal of Digital Earth2020，13，3： | 4 |
| 4 | Big Data and cloud computing:innovation opportunities and challenges显示文摘Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business,sciences and engineering.At the same time,Big Data presents challenges for digital earth to store,transport,process,mine and serve the data.Cloud computing provides fundamental support to address the challenges with shared computing resources including computing,storage,networking and analytical software;the application of these resources has fostered impressive Big Data advancements.This paper surveys the two frontiers–Big Data and cloud computing–and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains.From the aspects of a general introduction,sources,challenges,technology status and research opportunities,the following observations are offered:(i)cloud computing and Big Data enable science discoveries and application developments;(ii)cloud computing provides major solutions for Big Data;(iii)Big Data,spatiotemporal thinking and various application domains drive the advancement of cloud computing and relevant technologies with new requirements;(iv)intrinsic spatiotemporal principles of Big Data and geospatial sciences provide the source for finding technical and theoretical solutions to optimize cloud computing and processing Big Data;(v)open availability of Big Data and processing capability pose social challenges of geospatial significance and(vi)a weave of innovations is transforming Big Data into geospatial research,engineering and business values.This review introduces future innovations and a research agenda for cloud computing supporting the transformation of the volume,velocity,variety and veracity into values of Big Data for local to global digital earth science and applications. | Chaowei Yang Qunying Huang Zhenlong Li Kai Liu Fei Hu | 2017 | International Journal of Digital Earth2017，10，1： | 4 |
| 5 | Big Earth data analytics:a survey显示文摘Big Earth data are produced from satellite observations,Internet-ofThings,model simulations,and other sources.The data embed unprecedented insights and spatiotemporal stamps of relevant Earth phenomena for improving our understanding,responding,and addressing challenges of Earth sciences and applications.In the past years,new technologies(such as cloud computing,big data and artificial intelligence)have gained momentum in addressing the challenges of using big Earth data for scientific studies and geospatial applications historically intractable.This paper reviews the big Earth data analytics from several aspects to capture the latest advancements in this fast-growing domain.We first introduce the concepts of big Earth data.The architecture,various functionalities,and supporting modules are then reviewed from a generic methodology aspect.Analytical methods supporting the functionalities are surveyed and analyzed in the context of different tools.The driven questions are exemplified through cutting-edge Earth science researches and applications.A list of challenges and opportunities are proposed for different stakeholders to collaboratively advance big Earth data analytics in the near future. | Chaowei Yang Manzhu Yu Yun Li Fei Hu Yongyao Jiang Qian Liu Dexuan Sha Mengchao Xu Juan Gu | 2019 | Big Earth Data2019，3，2： | 3 |
| 6 | Engineering self-healing adhesive hydrogels with antioxidant properties for intrauterine adhesion prevention显示文摘Intrauterine adhesion (IUA) is the fibrosis within the uterine cavity. It is the second most common cause of female infertility, significantly affecting women’s physical and mental health. Current treatment strategies fail to provide a satisfactory therapeutic outcome for IUA patients, leaving an enormous challenge for reproductive science. A self-healing adhesive hydrogel with antioxidant properties will be highly helpful in IUA prevention. In this work, we prepare a series of self-healing hydrogels (P10G15, P10G20, and P10G25) with antioxidant and adhesive properties. Those hydrogels exhibit good self-healing properties and can adapt themselves to different structures. They possess good injectability and fit the shape of the human uterus. Moreover, the hydrogels exhibit good tissue adhesiveness, which is desirable for stable retention and therapeutic efficacy. The in vitro experiments using P10G20 show that the adhesive effectively scavenges ABTS+, DPPH, and hydroxyl radicals, rescuing cells from oxidative stress. In addition, P10G20 offers good hemocompatibility and in vitro and in vivo biocompatibility. Furthermore, P10G20 lowers down the in vivo oxidative stress and prevents IUA with less fibrotic tissue and better endometrial regeneration in the animal model. It can effectively downregulate fibrosis-related transforming growth factor beta 1 (TGF-β1) and vascular endothelial growth factor (VEGF). Altogether, these adhesives may be a good alternative for the clinical treatment of intrauterine adhesion. | Luyao Feng Liqun Wang Yao Ma Wanglin Duan Sergio Martin-Saldana Ye Zhu Xianpeng Zhang Bin Zhu Chaowei Li Shibo Hu Mingjie Bao Ting Wang Yuan Zhu Fei Yang Yazhong Bu | 2023 | Bioactive Materials2023，，9： | 3 |
| 7 | A method of forced extrapolation of the global magnetic field in the solar corona显示文摘We present a method of forced-field(i.e., non-force-free field: NFFF) extrapolation of the global magnetic field in the corona, on the basis of single-layer vector magnetogram, by extending an extrapolation technique of local magnetic field first developed by Hu et al.(2008). The forced coronal magnetic field is described by a system with the minimum dissipation rate(MDR) which is appropriate for the corona as a forced and open system. The obtained solution of the magnetic field can be decomposed into three components including one potential field and two linear force-free fields(LFFF). Starting from the given single-layer vector magnetogram, the bottom boundary condition for each component is determined with an iterative method to achieve a minimum difference of the transverse component between the extrapolated field and the original magnetogram. The final extrapolated forced field is given by the sum of the three component fields with the obtained bottom boundaries. The method is tested with an analytic magnetohydrostatic(MHS) solution. It is shown that the extrapolated forced field is highly consistent with the MHS solution at least from the solar disk to the heliocentric distance of 1.5 solar radii(R⊙). For instance, the complements of normalized and mean vector errors(E’n, E’m) are as high as ~97% and 95%, respectively. Further comparisons between magnetic strength, force and field line distributions indicate that the MHS solution has been successfully reconstructed. | WANG Bing CHEN Yao HU Qiang JIANG ChaoWei SONG HongQiang WU Zhao NING Hao | 2020 | Science China(Technological Sciences)2020，63，2： | 3 |
| 8 | A spatiotemporal data collection of viral cases for COVID-19 rapid response显示文摘Under the global health crisis of COVID-19,timely,and accurate epi-demic data are important for observation,monitoring,analyzing,modeling,predicting,and mitigating impacts.Viral case data can be jointly analyzed with relevant factors for various applications in the context of the pandemic.Current COVID-19 case data are scattered across a variety of data sources which may consist of low data quality accompanied by inconsistent data structures.To address this short-coming,a multi-scale spatiotemporal data product is proposed as a public repository platform,based on a spatiotemporal cube,and allows the integration of different data sources by adopting various data standards.Within the spatiotemporal cube,a comprehensive data processing workflow gathers disparate COVID-19 epidemic data-sets at the global,national,provincial/state,county,and city levels.This proposed framework is supported by an automatic update with a 2-h frequency and the crowdsourcing validation team to produce and update data on a daily time step.This rapid-response dataset allows the integration of other relevant socio-economic and environ-mental factors for spatiotemporal analysis.The data is available in Harvard Dataverse platform(http://gffzz9c54d31c51204187swxvk9knqp5fx6bcx.ffgz.tsg.suse.edu.cn/dataset.xhtml?persistentId=doi:10.7910/DVN/8HGECN)and GitHub open source repository(http://gffzz188fe103f8f1460aswxvk9knqp5fx6bcx.ffgz.tsg.suse.edu.cn/stccenter/COVID-19-Data). | Dexuan Sha Yi Liu Qian Liu Yun Li Yifei Tian Fayez Beaini Cheng Zhong Tao Hu Zifu Wang Hai Lan You Zhou Zhiran Zhang Chaowei Yang | 2021 | Big Earth Data2021，5，1： | 2 |
| 9 | Taking the pulse of COVID-19:a spatiotemporal perspective显示文摘The sudden outbreak of the Coronavirus disease(COVID-19)swept across the world in early 2020,triggering the lockdowns of several billion people across many countries,including China,Spain,India,the U.K.,Italy,France,Germany,Brazil,Russia,and the U.S.The transmission of the virus accelerated rapidly with the most confirmed cases in the U.S.,India,Russia,and Brazil.In response to this national and global emergency,the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implementation strategies to rapidly respond to this crisis,for supporting research,saving lives,and protecting the health of global citizens.This perspective paper presents our collective view on the global health emergency and our effort in collecting,analyzing,and sharing relevant data on global policy and government responses,human mobility,environmental impact,socioeconomical impact;in developing research capabilities and mitigation measures with global scientists,promoting collaborative research on outbreak dynamics,and reflecting on the dynamic responses from human societies. | Chaowei Yang Dexuan Sha Qian Liu Yun Li Hai Lan Weihe Wendy Guan Tao Hu Zhenlong Li Zhiran Zhang John Hoot Thompson Zifu Wang David Wong Shiyang Ruan Manzhu Yu Douglas Richardson Luyao Zhang Ruizhi Hou You Zhoua Cheng Zhong Yifei Tian Fayez Beaini Kyla Carte Colin Flynn Wei Liu Dieter Pfoser Shuming Bao Mei Li Haoyuan Zhang Chunbo Liu Jie Jiang Shihong Du Liang Zhao Mingyue Lu Lin Li Huan Zhou Andrew Ding | 2020 | International Journal of Digital Earth2020，13，10： | 2 |
| 10 | Flume Tank Simulation on Depositional Mechanism and Controlling Factors of Beach-Bar Reservoirs显示文摘The beach-bar reservoir has become an important exploration target in China, but its depositional mechanism and controlling factors have not yet been fully modeled. They have become an inhibitory factor for the exploration and development of beach-bar reservoirs. The depositional mechanism of beach-bars and their controlling factors have been studied by means of a flume experiment including seven runs under controlled boundary conditions which were the water level(Run 1, Run 2 and Run 3), wave parameters(Run 1, Run 4 and Run 5) and initial slope(Run 1, Run 6 and Run 7). The experiment revealed that the development of beach-bar was controlled by water level, wave parameters and initial slope. The deposited locations of distal bar and nearshore bar were controlled by the water level. Two beach-bars were migrated downward when the water level falls(Run 1, Run 2 and Run 3). The width and thickness of distal bar and nearshore bar were controlled by wave parameters, especially the wave height. They increased with the scale of wave. But, the maximum thickness is limited by the water level(Run 1, Run 4 and Run 5). The distance between distal bar and nearshore bar was controlled by the initial slope. It became shorter with the steeper slope. Distal bar and nearshore bar changed into one bar when the initial gradient was greater than 1/20(Run 1, Run 6 and Run 7). The results suggest formative mechanism and controlling factors related to beach-bars. | Chenlin Hu Yuanfu Zhang Deyong Feng Min Wang Zaixing Jiang Chaowei Jiao | 2017 | Journal of Earth Science2017，28，6： | 1 |
| 11 | Recent progress in MnBi_(2n)Te_(3n+1)intrinsic magnetic topological insulators:crystal growth,magnetism and chemical disorder显示文摘The search for magnetic topological materials has been at the forefront of condensed matter research for their potential to host exotic states such as axion insulators,magnetic Weyl semimetals,Chern insulators,etc.To date,the MnBi_(2n)Te_(3n+1) family is the only group of materials showcasing van der Waals-layered structures,intrinsic magnetism and non-trivial band topology without trivial bands at the Fermi level.The interplay between magnetism and band topology in this family has led to the proposal of various topological phenomena,including the quantum anomalous Hall effect,quantum spin Hall effect and quantum magnetoelectric effect.Among these,the quantum anomalous Hall effect has been experimentally observed at record-high temperatures,highlighting the unprecedented potential of this family of materials in fundamental science and technological innovation.In this paper,we provide a comprehensive review of the research progress in this intrinsic magnetic topological insulator family,with a focus on single-crystal growth,characterization of chemical disorder,manipulation of magnetism through chemical substitution and external pressure,and important questions that remain to be conclusively answered. | Chaowei Hu Tiema Qian Ni Ni | 2024 | National Science Review2024，11，2： | 0 |
| 12 | Data-driven modeling of solar coronal magnetic field evolution and eruptions显示文摘Magnetic fields play a fundamental role in the structure and dynamics of the solar corona.As they are driven by their footpoint motions on the solar surface,which transport energy from the interior of the Sun into its atmosphere,the coronal magnetic fields are stressed continuously with buildup of magnetic nonpotentiality in the form of topology complexity(magnetic helicity)and local electric currents(magnetic free energy).The accumulated nonpotentiality is often released explosively by solar eruptions,manifested as solar flares and coronal mass ejections. | Chaowei Jiang Xueshang Feng Yang Guo Qiang Hu | 2022 | The Innovation2022，3，3： | 0 |
| 13 | Towards intelligent geospatial data discovery:a machine learning framework for search ranking显示文摘Current search engines in most geospatial data portals tend to induce users to focus on one single-data characteristic dimension(e.g.popularity and release date).This approach largely fails to take account of users’multidimensional preferences for geospatial data,and hence may likely result in a less than optimal user experience in discovering the most applicable dataset.This study reports a machine learning framework to address the ranking challenge,the fundamental obstacle in geospatial data discovery,by(1)identifying a number of ranking features of geospatial data to represent users’multidimensional preferences by considering semantics,user behavior,spatial similarity,and static dataset metadata attributes;(2)applying a machine learning method to automatically learn a ranking function;and(3)proposing a system architecture to combine existing search-oriented open source software,semantic knowledge base,ranking feature extraction,and machine learning algorithm.Results show that the machine learning approach outperforms other methods,in terms of both precision at K and normalized discounted cumulative gain.As an early attempt of utilizing machine learning to improve the search ranking in the geospatial domain,we expect this work to set an example for further research and open the door towards intelligent geospatial data discovery. | Yongyao Jiang Yun Li Chaowei Yang Fei Hu Edward MArmstrong Thomas Huang David Moroni Lewis J.McGibbney Christopher J.Finch | 2018 | International Journal of Digital Earth2018，11，9： | 0 |
| 14 | Tuning the crystalline and electronic structure of ZrO_(2)via oxygen vacancies and nano-structuring for polysulfides conversion in lithium-sulfur batteries显示文摘The recent emergence of tetragonal phases zirconium dioxide(ZrO_(2))with vacancies has generated significant interest as a highly efficient and stable electrocatalyst with potential applications in trapping polysulfides and facilitating rapid conversion in lithium-sulfur batteries(LSBs).However,the reduction of ZrO_(2)is challenging,even under strong reducing atmospheres at high temperatures and pressures.Consequently,the limited presence of oxygen vacancies results in insufficient active sites and reaction interfaces,thereby hindering practical implementation.Herein,we successfully introduced abundant oxygen vacancies into ZrO_(2)at the nanoscale with the help of carbon nanotubes(CNTs-OH)through hydrogen-etching at lower temperatures and pressures.The introduced oxygen vacancies on ZrO_(2-x)/CNTs-OH can effectively rearrange charge distribution,enhance sulfiphilicity and increase active sites,contributing to high ionic and electronic transfer kinetics,strong binding energy and low redox barriers between polysulfides and ZrO_(2-x).These findings have been experimentally validated and supported by theory calculations.As a result,LSBs assembled with the ZrO_(2-x)/CNTs-OH modified separators demonstrate excellent rate performance,superior cycling stability,and ultra-high sulfur utilization.Especially,at high sulfur loading of 6 mg cm^(-2),the area capacity is still up to 6.3 mA h cm^(-2).This work provides valuable insights into the structural and functional optimization of electrocatalysts for batteries. | Shengnan Fu Chaowei Hu Jing Li Hongtao Cui Yuanyuan Liu Kaihua Liu Yanzhao Yang Meiri Wang | 2024 | Journal of Energy Chemistry2024，88，1： | 0 |
| 15 | A lightweight data-voting strategy for triple-modular redundant control computers显示文摘Triple-modular redundancy(TMR), a well-known methodology for improving the reliability of computer systems, has been used for onboard control computers in many safety-critical space applications. In this paper, a lightweight data-voting strategy for TMR control computer is proposed, in which an additional straightforward input voting stage is added, so that determination of the maximum admissible deviation for output matching, as required by traditional strategies, can be avoided. The lightweight strategy is a practical data-voting solution for the TMR control computer that exploits the characteristics of the data of the control computer. The addition of input voting, in both the value and time domains, can ensure that the outputs of non-faulty machines are exactly equal, and the bitwise output matching of the TMR control computer can be performed. The new data-voting strategy has been optimized according to the actual application conditions in spacecraft control systems, and has been adopted for the TMR control computer of the Chang’e-5 Return Spacecraft. The results of the ground experiments and successful on-orbit application have demonstrated the advantages of the new data-voting strategy for TMR control computer. | LIU Bo YANG MengFei WANG Yong YUAN Li LIU ChaoWei XU Jian YU Dan HU HongKai FENG Dan | 2022 | Science China(Technological Sciences)2022，65，2： | 0 |
| 16 | Growth of boron nitride nanotubes from magnesium-based catalysts显示文摘This study reports an efficient method for growing high-quality boron nitride nanotubes(BNNTs)via chemical vapor deposition of low-melting-point precursors—magnesium diboride(MgB_(2)),magnesium nitride(Mg_(3)N_(2)),and diboron trioxide(B_(2)O)at a growth temperature of 1000–1300℃.The strong oxygen-capturing ability of Mg_(3)N_(2)inhibits the formation of high-melting-point Mg_(3)B_(2)O_(6),which helps MgB_(2)to maintain an efficient and stable catalytic capacity,thereby enhancing its growth efficiency and utilization of the boron source.Moreover,polydimethylsiloxane(PDMS)composites formed from these BNNTs demonstrated much greater thermal conductivities than pure PDMS.Thus,this novel strategy for preparing BNNTs is efficient,and they have great potential for application as thermal interface materials. | Ying Wang Kai Zhang Liyun Wu Xuhua He Qian He Nanyang Wang Zhengyang Zhou Chaowei Li Yue Hu Yagang Yao | 2023 | Nano Research2023，16，8： | 0 |
| 17 | Femtosecond laser direct writing of functional stimulus-responsive structures and applications显示文摘Diverse natural organisms possess stimulus-responsive structures to adapt to the surrounding environment.Inspired by nature,researchers have developed various smart stimulus-responsive structures with adjustable properties and functions to address the demands of ever-changing application environments that are becoming more intricate.Among many fabrication methods for stimulus-responsive structures,femtosecond laser direct writing(FsLDW)has received increasing attention because of its high precision,simplicity,true three-dimensional machining ability,and wide applicability to almost all materials.This paper systematically outlines state-of-the-art research on stimulus-responsive structures prepared by FsLDW.Based on the introduction of femtosecond laser-matter interaction and mainstream FsLDW-based manufacturing strategies,different stimulating factors that can trigger structural responses of prepared intelligent structures,such as magnetic field,light,temperature,pH,and humidity,are emphatically summarized.Various applications of functional structures with stimuli-responsive dynamic behaviors fabricated by FsLDW,as well as the present obstacles and forthcoming development opportunities,are discussed. | Yuxuan Zhang Dong Wu Yachao Zhang Yucheng Bian Chaowei Wang Jiawen Li Jiaru Chu Yanlei Hu | 2023 | International Journal of Extreme Manufacturing2023，5，4： | 0 |
| 18 | Multilayered skyscraper microchipsfabricated by hybrid “all-in-one”femtosecond laser processing显示文摘Multilayered microfluidic channels integrated with functional microcomponents are the general trend of future biochips,which is similar to the history of Si-integrated circuits from the planer to the three-dimensional(3D)configuration,since they offer miniaturization while increasing the integration degree and diversifying the applications in the reaction,catalysis,and cell cultures.In this paper,an optimized hybrid processing technology is proposed to create true multilayered microchips,by which“all-in-one”3D microchips can be fabricated with a successive procedure of 3D glass micromachining by femtosecond-laser-assisted wet etching(FLAE)and the integration of microcomponents into the fabricated microchannels by two-photon polymerization(TPP).To create the multilayered microchannels at different depths in glass substrates(the top layer was embedded at 200μm below the surface,and the underlying layers were constructed with a 200-μm spacing)with high uniformity and quality,the laser power density(13~16.9 TW/cm^(2))was optimized to fabricate different layers.To simultaneously complete the etching of each layer,which is also important to ensure the high uniformity,the control layers(nonlaser exposed regions)were prepared at the upper ends of the longitudinal channels.Solvents with different dyes were used to verify that each layer was isolated from the others.The high-quality integration was ensured by quantitatively investigating the experimental conditions in TPP,including the prebaking time(18~40 h),laser power density(2.52~3.36 TW/cm2)and developing time(0.8~4 h),all of which were optimized for each channel formed at different depths.Finally,the eightlayered microfluidic channels integrated with polymer microstructures were successfully fabricated to demonstrate the unique capability of this hybrid technique. | Chaowei Wang Liang Yang Chenchu Zhang Shenglong Rao Yulong Wang SizhuWu Jiawen Li Yanlei Hu Dong Wu Jiaru Chu Koji Sugioka | 2019 | Microsystems & Nanoengineering2019，5，1： | 0 |
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