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| 1 | Superplastic behaviour and microstructure evolution of a fine-grained TA15 titanium alloy显示文摘The fine-grained microstructure of TA15 titanium alloy was prepared through two-step forging technology combined with high and low temperatures, and a transnormal superplastic elongation of more than 2000% was obtained. The superplastic behaviour and microstructure evolution were systematically researched at different temperatures and strain rates through superplastic tensile test. The results indicate that the fine-grained TA15 alloy exhibits superplasticity at temperatures of 760-980°C and initial strain rates from 1.1 × 10-2 to 5.5 × 10-5 s-1. The optimal superplastic conditions are 940°C and 3.3 × 10-4 s-1, in which the average elongation is 2526% and the maximum elongation is 2743%. During superplastic deformation, dynamic recovery and recrystallization occur obviously, and the corporate effect of strain hardening and recrystallization softening decides the superplastic ability directly. | ZHAO Zhanglong GUO Hongzhen CHEN Li YAO Zekun | 2009 | Rare Metals2009，28，5： | 6 |
| 2 | Implantable nerve guidance conduits:Material combinations,multi-functional strategies and advanced engineering innovations显示文摘Nerve guidance conduits(NGCs)have attracted much attention due to their great necessity and applicability in clinical use for the peripheral nerve repair.Great efforts in recent years have been devoted to the development of high-performance NGCs using various materials and strategies.The present review provides a comprehensive overview of progress in the material innovation,structural design,advanced engineering technologies and multi functionalization of state-of-the-art nerve guidance conduits NGCs.Abundant advanced engineering technologies including extrusion-based system,laser-based system,and novel textile forming techniques in terms of weaving,knitting,braiding,and electrospinning techniques were also analyzed in detail.Findings arising from this review indicate that the structural mimetic NGCs combined with natural and synthetic materials using advanced manufacturing technologies can make full use of their complementary advantages,acquiring better biomechanical properties,chemical stability and biocompatibility.Finally,the existing challenges and future opportunities of NGCs were put forward aiming for further research and applications of NGCs. | Yixin Yan Ruotong Yao Jingyuan Zhao Kaili Chen Lirong Duan Tian Wang Shujun Zhang Jinping Guan Zhaozhu Zheng Xiaoqin Wang Zekun Liu Yi Li Gang Li | 2022 | Bioactive Materials2022，7，5： | 4 |
| 3 | Two-step machine learning enables optimized nanoparticle synthesis显示文摘In materials science,the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming.In this study,we present a two-step framework for a machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles with the desired absorbance spectrum.Combining a Gaussian process-based Bayesian optimization(BO)with a deep neural network(DNN),the algorithmic framework is able to converge towards the target spectrum after sampling 120 conditions.Once the dataset is large enough to train the DNN with sufficient accuracy in the region of the target spectrum,the DNN is used to predict the colour palette accessible with the reaction synthesis.While remaining interpretable by humans,the proposed framework efficiently optimizes the nanomaterial synthesis and can extract fundamental knowledge of the relationship between chemical composition and optical properties,such as the role of each reactant on the shape and amplitude of the absorbance spectrum. | Flore Mekki-Berrada Zekun Ren Tan Huang Wai Kuan Wong Fang Zheng Jiaxun Xie Isaac Parker Siyu Tian Senthilnath Jayavelu Zackaria Mahfoud Daniil Bash Kedar Hippalgaonkar Saif Khan Tonio Buonassisi Qianxiao Li Xiaonan Wang | 2021 | npj Computational Materials2021，，1： | 3 |
| 4 | Deciphering the superior thermoelectric property of posttreatment-free PEDOT:PSS/IL hybrid by X-ray and neutron scattering characterization显示文摘In this work,a polymer and ionic liquid(IL)hybrid with superior thermoelectric performance is prepared via a system design of the chemical composition,molar ratio of the constituent molecules and manipulating the structure in solution and dried films.The solution-casted hybrid film,consisting of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS)and 1-ethyl-3-methylimidazolium tricyanomethanide(EMIM:TCM),shows the highest power factor of 175μW m^(−1) K^(−2) in the polymer hybrid prepared by a post-treatment-free method.With a set of complementary structure characterization methods,it is found that EMIM:TCM can induce the structure reorganization of PEDOT:PSS in solution from a core-shell model to a rod-like model,during which PEDOT partially separates from PSS that eases the conductive network formation.In addition,the oxidation level of PEDOT:PSS is reduced by adding EMIM:TCM.Based on which,the PEDOT:PSS/IL hybrid shows the best performance in optimizing the conductivity(1163 S cm^(−1))and Seebeck coefficient(38.8μV K^(−1))simultaneously. | Xin Li Ruike Zou Zhen Liu Jitendra Mata Ben Storer Yu Chen Weiheng Qi Zekun Zhou Peng Zhang | 2022 | npj Flexible Electronics2022，6，1： | 2 |
| 5 | Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics显示文摘Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global optimum.Herein,we demonstrate that embedding physics domain knowledge into a Bayesian network enables an optimization approach for gallium arsenide(GaAs)solar cells that identifies the root cause(s)of underperformance with layer-by-layer resolution and reveals alternative optimal process windows beyond traditional black-box optimization.Our Bayesian network approach links a key GaAs process variable(growth temperature)to material descriptors(bulk and interface properties,e.g.,bulk lifetime,doping,and surface recombination)and device performance parameters(e.g.,cell efficiency).For this purpose,we combine a Bayesian inference framework with a neural network surrogate device-physics model that is 100×faster than numerical solvers.With the trained surrogate model and only a small number of experimental samples,our approach reduces significantly the time-consuming intervention and characterization required by the experimentalist.As a demonstration of our method,in only five metal organic chemical vapor depositions,we identify a superior growth temperature profile for the window,bulk,and back surface field layer of a GaAs solar cell,without any secondary measurements,and demonstrate a 6.5%relative AM1.5G efficiency improvement above traditional grid search methods. | Zekun Ren Felipe Oviedo Maung Thway Siyu I.P.Tian Yue Wang Hansong Xue Jose Dario Perea Mariya Layurova Thomas Heumueller Erik Birgersson Armin G.Aberle Christoph J.Brabec Rolf Stangl Qianxiao Li Shijing Sun Fen Lin Ian Marius Peters Tonio Buonassisi | 2020 | npj Computational Materials2020，，1： | 2 |
| 6 | Formation of defects in selective laser melted Inconel 718 and its correlation with mechanical properties through dimensionless numbers显示文摘This paper presents a profound study on the formation of three typical types of defects(i.e.,lack of fusion,keyholes,and gas pores)observed in selective laser melting(SLM)printed Inconel 718 samples,along with their correlations with mechanical properties of the samples.Computed tomography,scanning electron microscopy,and mechanical property tests revealed that the three types of defects fall into three stages of porosity evolution classified by recently-proposed dimensionless numbersηm(melting efficiency)andηv(vaporization efficiency).Meanwhile,experimental tests verified that the mechanical properties of products,such as strength and elongation,are remarkably sensitive to lack of fusion.However,these properties are slightly affected by the keyholes and gas pores.An optimal process window characterized by dimensionless numbers is realized by adjusting the processing parameters and employing different powders.This process window allows products to have relatively low defects and high mechanical performances.A quantitative relation between processing parameters,dimensionless numbers,defects,and mechanical properties is established based on these observations.This relation,along with the optimal process window,is believed to enhance the quality of SLM products of Inconel 718 alloy and can be further extended to SLM with other metal materials. | Zhiwei Luo Zekun Wang Zhenyu Yan Jing Chen Shuguang Li Moubin Liu | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，5： | 2 |
| 7 | Functionalized Fiber-Based Strain Sensors:Pathway to Next-Generation Wearable Electronics显示文摘Wearable strain sensors are arousing increasing research interests in recent years on account of their potentials in motion detection,personal and public healthcare,future entertainment,man-machine interaction,artificial intelligence,and so forth.Much research has focused on fiber-based sensors due to the appealing performance of fibers,including processing flexibility,wearing comfortability,outstanding lifetime and serviceability,low-cost and large-scale capacity.Herein,we review the latest advances in functionalization and device fabrication of fiber materials toward applications in fiber-based wearable strain sensors.We describe the approaches for preparing conductive fibers such as spinning,surface modification,and structural transformation.We also introduce the fabrication and sensing mechanisms of state-of-the-art sensors and analyze their merits and demerits.The applications toward motion detection,healthcare,man-machine interaction,future entertainment,and multifunctional sensing are summarized with typical examples.We finally critically analyze tough challenges and future remarks of fiber-based strain sensors,aiming to implement them in real applications. | Zekun Liu Tianxue Zhu Junru Wang Zijian Zheng Yi Li Jiashen Li Yuekun Lai | 2022 | Nano-Micro Letters2022，14，4： | 2 |
| 8 | The effect of nano-SiO2 on the magnetic properties of the low power loss manganese-zinc ferrites显示文摘 | Nie Jianhua Li Haihua Feng Zekun | 2003 | Jour Magn Magn Mate2003，265，： | 1 |
| 9 | The effect of nano-SiO2on the magnetic properties of the low power loss manganese-zinc ferrites显示文摘 | NIE Jianhua LI Haihua FENG Zekun | 2003 | J Magn Magn Mater2003，265，： | 1 |
| 10 | Synergistic process for cokergas oil and heavy cycle oil conversion for maximum light production 显示文摘 | WANG Gang LI Zekun HUANG He | 2010 | Ind Eng Chem Res2010，49，11： | 1 |
| 11 | Realizing the highly reversible Zn^(2+)and Na^(+) dual ions storage in high-crystallinity nickel hexacyanoferrate microcubes for aqueous zinc-ion batteries显示文摘Prussian blue analogues(PBAs)with the 3D open framework are regarded as promising cathode candidates for aqueous Zinc ion batteries(ZIBs).Among various PBAs,nickel hexacyanoferrate(NiHCF)has attracted considerable attention because of its high operating voltage and economic merit.However,the cyclability of NiHCF is unsatisfactory due to poor structural stability during Zn^(2+) ions insertion/deinsertion.Moreover,the ion storage mechanism of NiHCF in aqueous electrolytes has not been fully revealed yet.Herein,high-crystallinity NiHCF(HC-NiHCF)microcubes with improved structural stability and larger crystal plane spacing are synthesized.For the first time,highly reversible Zn2+ions and Na+ions co-insertion/extraction are achieved for the HC-NiHCF microcubes in mixed aqueous electrolyte,as evidenced by various observations including two separated discharge plateaus and sequential changes of Na 1s and Zn 2p signals in ex-situ X-ray photoelectron spectroscopy(XPS).As a result,a high specific capacity of 73.9 mAh g^(−1) is obtained for the HC-NiHCF microcubes at 0.1 A g−1,combined with enhanced cycle stability(75%vs.16.4%)over 1000 cycles at 2 A g^(−1).The reversible Zn^(2+) ions and Na+ions co-insertion in HC-NiHCF microcubes reveals a new ion storage mechanism of Ni-based PBAs in aqueous electrolytes. | Kexuan Wang Zhu Xu Heng Li Huibo Wang Mingzheng Ge Jilei Liu Shengwen Li Zekun Hu Mengyu Zhu Yanyan Zhang Yuxin Tang Shi Chen | 2023 | Journal of Materials Science & Technology2023，，33： | 1 |
| 12 | Retardation effect of basic nitrogen compounds on hydrocarbons cata- lytic cracking in coker gas oil and their structural identifi- cation 显示文摘 | LI Zekun WANG Gang SHI Quan | 2011 | Ind Eng Chem Res2011，50，7： | 1 |
| 13 | Influence of nonbasic nitrogen compounds and condensed aromatics on coker gas oil catalytic cracking and their characterization 显示文摘 | LI Zekun GAO Jinsen WANG Gang | 2011 | Ind Eng Chem Res2011，50，15： | 1 |
| 14 | Catalytic cracking constraints analysis and divisional fluid catalytic cracking progress for coker gas oil 显示文摘 | LI Zekun WANG Gang LIU Yindong | 2012 | Energy Fuels2012，26，4： | 1 |
| 15 | Quantum speedup of twin support vector machines显示文摘Dear editor,Machine learning enables agents or computers to learn from data and improves the performance of specific tasks without requiring explicit programming.As the amount of available data continues to grow,existing machine learning algorithms cannot satisfy the efficiency requirements of various practical applications,and several methods have been proposed to solve this problem,e.g.,distributed computing. | Zekun YE Lvzhou LI Haozhen SITU Yuyi WANG | 2020 | Science China(Information Sciences)2020，63，8： | 1 |
| 16 | Preoperative ultrasound combined with routine blood tests in predicting the malignant risk of pancreatic cystic neoplasms显示文摘Objective:Accurate preoperative identification of benign or malignant pancreatic cystic neoplasms(PCN)may help clinicians make better intervention choices and will be essential for individualized treatment.Methods:Preoperative ultrasound and laboratory examination findings,and demographic characteristics were collected from patients.Multiple logistic regression was used to identify independent risk factors associated with malignant PCN,which were then included in the nomogram and validated with an external cohort.The Net Reclassification Index(NRI)and Integrated Discrimination Improvement(IDI)were calculated to evaluate the improvement in the predictive power of the new model with respect to that of a combined imaging and tumor marker prediction model.Results:Malignant PCN were found in 83(40.7%)and 33(38.7%)of the model and validation cohorts,respectively.Multivariate analysis identified age,tumor location,imaging of tumor boundary,blood type,mean hemoglobin concentration,neutrophil-tolymphocyte ratio,carbohydrate antigen 19-9,and carcinoembryonic antigen as independent risk factors for malignant PCN.The calibration curve indicated that the predictions based on the nomogram were in excellent agreement with the actual observations.A nomogram score cutoff of 192.5 classified patients as having low vs.high risk of malignant PCN.The model achieved good C-statistics of 0.929(95%CI 0.890–0.968,P<0.05)and 0.951(95%CI 0.903–0.998,P<0.05)in predicting malignancy in the development and validation cohorts,respectively.NRI=0.268;IDI=0.271(P<0.001 for improvement).The DCA curve indicated that our model yielded greater clinical benefits than the comparator model.Conclusions:The nomogram showed excellent performance in predicting malignant PCN and may help surgeons select patients for detailed examination and surgery.The nomogram is freely available at http://gffzz301f03ad8b874f7esp9ubv0xqqp0o60uk.ffgz.tsg.suse.edu.cn/DynNomapp/. | Xiuchao Wang Junjin Wang Xi Wei Lihui Zhao Bo Ni Zekun Li Chuntao Gao Song Gao Tiansuo Zhao Jian Wang Weidong Ma Xiao Hu Jihui Hao | 2022 | Cancer Biology & Medicine2022，19，10： | 1 |
| 17 | The effect of the microstructure on the DC-bias superposition characteristic of NiCuZn ferrite显示文摘 | YAN Shuoqing DONG Li FENG Zekun | 2014 | Journal of Magnetism and Magnetic Materials2014，353，： | 1 |
| 18 | FCC catalyst co- king:Sources and estimation of their contribution during co ker gas oil cracking process显示文摘 | Wang Gang Li Zekun Liu Yindong | 2012 | Ind Eng Chem Res2012，51，5： | 1 |
| 19 | Investigation on hot deformation behavior of P/M Ni-base superalloy FGH96 by using processing maps显示文摘 | Yongquan Ning Zekun Yao Hongzhen Guo M.W. Fu Hui li Xinghua Xie | 2010 | Materials Science & Engineering A2010，，26： | 1 |
| 20 | Multi-omics of Circular RNAs and Their Responses to Hormones in Moso Bamboo(Phyllostachys edulis)显示文摘Circular RNAs(circRNAs)are endogenous non-coding RNAs with covalently closed structures,which have important functions in plants.However,their biogenesis,degradation,and function upon treatment with gibberellins(GAs)and auxins(1-naphthaleneacetic acid,NAA)remain unknown.Here,we systematically identified and characterized the expression patterns,evolutionary conservation,genomic features,and internal structures of circRNAs using RNase R-treated libraries from moso bamboo(Phyllostachys edulis)seedlings.Moreover,we investigated the biogenesis of circRNAs dependent on both cis-and trans-regulation.We explored the function of circRNAs,including their roles in regulating microRNA(miRNA)-related genes and modulating the alternative splicing of their linear counterparts.Importantly,we developed a customized degradome sequencing approach to detect miRNA-mediated cleavage of circRNAs.Finally,we presented a comprehensive view of the participation of circRNAs in the regulation of hormone metabolism upon treatment of bamboo seedlings with GA and NAA.Collectively,our study provides insights into the biogenesis,function,and miRNA-mediated degradation of circRNAs in moso bamboo. | Yongsheng Wang Huihui Wang Huiyuan Wang Ruifan Zhou Ji Wu Zekun Zhang Yandong Jin Tao Li Markus V.Kohnen Xuqing Liu Wentao Wei Kai Chen Yubang Gao Jiazhi Ding Hangxiao Zhang Bo Liu Chentao Lin Lianfeng Gu | 2023 | Genomics, Proteomics & Bioinformatics2023，21，4： | 1 |
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