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| 1 | Adoptive cell transfer therapy for hepatocellular carcinoma显示文摘Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. This malignancy is associated with poor prognosis and high mortality. Novel approaches for prolonging the overall survival of patients with advanced HCC are urgently needed. The antitumor activities of adoptive cell transfer therapy (ACT), such as strategies based on tumor-infiltrating lymphocytes and cytokine-induced killer cells, are more effective than those of traditional strategies. Currently, chimeric antigen receptor T-cell (CAR-T) immunotherapy has achieved numerous breakthroughs in the treatment of hematological malignancies, including relapsed or refractory lymphoblastic leukemia and refractory large B-cell lymphoma? Nevertheless, this approach only provides a modest benefit in the treatment of solid tumors. The clinical results of CAR-T immunotherapy for HCC that could be obtained at present are limited. Some published studies have demonstrated that CAR-T could inhibit tumor growth and cause severe side effects. In this review, we summarized the current application of ACT, the challenges encountered by CAR-T technology in HCC treatment, and some possible strategies for the future direction of immunotherapeutic research. | Renyu Zhang Zhao Zhang Zekun Liu Ding Wei Xiaodong Wu Huijie Bian Zhinan Chen | 2019 | Frontiers of Medicine2019，13，1： | 17 |
| 2 | Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks显示文摘X-ray diffraction(XRD)data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials.We propose a machine learning-enabled approach to predict crystallographic dimensionality and space group from a limited number of thin-film XRD patterns.We overcome the scarce data problem intrinsic to novel materials development by coupling a supervised machine learning approach with a model-agnostic,physics-informed data augmentation strategy using simulated data from the Inorganic Crystal Structure Database(ICSD)and experimental data.As a test case,115 thin-film metalhalides spanning three dimensionalities and seven space groups are synthesized and classified.After testing various algorithms,we develop and implement an all convolutional neural network,with cross-validated accuracies for dimensionality and space group classification of 93 and 89%,respectively.We propose average class activation maps,computed from a global average pooling layer,to allow high model interpretability by human experimentalists,elucidating the root causes of misclassification.Finally,we systematically evaluate the maximum XRD pattern step size(data acquisition rate)before loss of predictive accuracy occurs,and determine it to be 0.16°2θ,which enables an XRD pattern to be obtained and classified in 5.5 min or less. | Felipe Oviedo Zekun Ren Shijing Sun Charles Settens Zhe Liu Noor Titan Putri Hartono Savitha Ramasamy Brian L.DeCost Siyu I.P.Tian Giuseppe Romano Aaron Gilad Kusne Tonio Buonassisi | 2019 | npj Computational Materials2019，，1： | 15 |
| 3 | Synthesis of Alumina-Coated Natural Graphite for Highly Cycling Stability and Safety of Li-Ion Batteries显示文摘The natural graphite(NG)urdformly coated with alumina ceramics(Al2O3)was successfully synthesized through sol-gel method.The aluminum plastic film soft-packed battery prepared using Al2O3-coated NG as anode material exhibits excellent cycle performance and safety performance.The cycling retention of AN-1 is 84.95% after 200 cycles at a rate of 1 C in a potential window ranging from 3.0 to 4.35 V,which is much greater than 75.07% of NG under the same test conditions.The result of the nail penetration tests shows that the successful nail penetration rate of the NG used as anode is 0%,while that of Al2O3 coated samples AN-1 is 100%.The test results show that the Al2O3 coating could act as a solid electrolyte to suppress side reactions,improve cycle stability,and prevent a thermal runaway under mechanical abuse. | Tao Xu Chengkun Zhou Haihui Zhou Zekun Wang Jianguo Ren | 2019 | Chinese Journal of Chemistry2019，37，4： | 13 |
| 4 | Secure Impulsive Synchronization in Lipschitz-Type Multi-Agent Systems Subject to Deception Attacks显示文摘Cyber attacks pose severe threats on synchronization of multi-agent systems.Deception attack,as a typical type of cyber attack,can bypass the surveillance of the attack detection mechanism silently,resulting in a heavy loss.Therefore,the problem of mean-square bounded synchronization in multi-agent systems subject to deception attacks is investigated in this paper.The control signals can be replaced with false data from controllerto-actuator channels or the controller.The success of the attack is measured through a stochastic variable.A distributed impulsive controller using a pinning strategy is redesigned,which ensures that mean-square bounded synchronization is achieved in the presence of deception attacks.Some sufficient conditions are derived,in which upper bounds of the synchronization error are given.Finally,two numerical simulations with symmetric and asymmetric network topologies are given to illustrate the theoretical results. | Wangli He Zekun Mo Qing-Long Han Feng Qian | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，5： | 10 |
| 5 | 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 |
| 6 | Effect of Multiple Forging on Microstructure and Mechanical Properties of Powder Metallurgy FGH4096 Superalloy显示文摘FGH4096 is an important damage-tolerance-type powder metallurgy (PM) superalloy, which is also the optimized turbine material for high performance aero-engine. To turbine disc, bore and rim are used in high temperature-low stress condition and low temperature-high stress condition, and dual-microstructure is introduced. Coarse-grained microstructure is suit for rim region and fine-grained is no doubt most suitable for bore region. But fine-grained ingot can not make by PM technique, so that gradient heat treatment can not be developed to coarsen the grain of rim region. Under the confine of PM technique, several treatment processing should be taken place to refine the coarse grains of PM alloy. Multiple forging with large accumulate deformation was carried out on PM FGH4096 superalloy, and fine grains of 3.5 μm were obtained by this treatment processing. Mechanical properties testing were take carried out on both fine-grained and other statuses alloys. Microstructure evolution was observed by optical microscopy, scanning electron microscopy and transmission electron microscopy. As a result of repeated dynamic recrystallization, coarse grains could be completely refined into fine grains. And the increase of strength was mainly attributed to refinement effect and improvement of defects such as previous particle boundaries. Successful development of fine-grained treatment processing will promote the research of dual-microstructure turbine disc. | NING Yongquan YAO Zekun GUO Hongzhen TAO Yu ZHANG Yiwen | 2009 | Chinese Journal of Mechanical Engineering2009，22，6： | 5 |
| 7 | 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 |
| 8 | Exploring the Bridge Cases’Role in the Transmission of the SARSCoV-2 Delta Variant—Ruili City,Yunnan Province,China,July–September 2021显示文摘Summary What is already known about this topic?The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Delta variant has proved to have increased transmissibility,and mutations that can cause partial immune escape,which makes its transmission more insidious.What is added by this report?This study showed that probable cases who had negative results in nucleic acid testing but had positive IgM test result and/or IgG test value of over 20 S/CO in antibodies testing. | Xiangyu Yan Litao Chang Zekun Wang Linhui Hao Zhongwei Jia Bo Zhang Tiejun Shui | 2021 | China CDC weekly2021，3，50： | 4 |
| 9 | 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 |
| 10 | EZH2 induces the expression of miR-1301 as a negative feedback control mechanism in triple negative breast cancer显示文摘 | Qiuju Wu Zekun Chen Guihua Zhang Wenhui Zhou You Peng Rong Liu Ceshi Chen Jing Feng | 2018 | Acta Biochimica et Biophysica Sinica2018，50，7： | 2 |
| 11 | 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 |
| 12 | Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains显示文摘Bayesian optimization(BO)has been leveraged for guiding autonomous and high-throughput experiments in materials science.However,few have evaluated the efficiency of BO across a broad range of experimental materials domains.In this work,we quantify the performance of BO with a collection of surrogate model and acquisition function pairs across five diverse experimental materials systems.By defining acceleration and enhancement metrics for materials optimization objectives,we find that surrogate models such as Gaussian Process(GP)with anisotropic kernels and Random Forest(RF)have comparable performance in BO,and both outperform the commonly used GP with isotropic kernels.GP with anisotropic kernels has demonstrated the most robustness,yet RF is a close alternative and warrants more consideration because it is free from distribution assumptions,has smaller time complexity,and requires less effort in initial hyperparameter selection.We also raise awareness about the benefits of using GP with anisotropic kernels in future materials optimization campaigns. | Qiaohao Liang Aldair E.Gongora Zekun Ren Armi Tiihonen Zhe Liu Shijing Sun James R.Deneault Daniil Bash Flore Mekki-Berrada Saif A.Khan Kedar Hippalgaonkar Benji Maruyama Keith A.Brown John Fisher III Tonio Buonassisi | 2021 | npj Computational Materials2021，，1： | 2 |
| 13 | 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 |
| 14 | 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 |
| 15 | 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 |
| 16 | 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 |
| 17 | A resistorless CMOS voltage reference based on mutual compensation of VTand Vth显示文摘 | Zhou Zekun Zhu Peisheng Shi Yue | 2013 | IEEE Transactions on Circuits and Systems II:Express Briefs2013，60，9： | 1 |
| 18 | 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 |
| 19 | A CMOS voltage reference based on mutual compensation of Vtn and Vtp显示文摘 | Zhou Zekun Zhu Peisheng Shi Yue | 2012 | IEEE Transactions on Circuits and Systems II:Express Briefs2012，59，6： | 1 |
| 20 | 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 |
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