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| 1 | Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design显示文摘One of the main challenges in materials discovery is efficiently exploring the vast search space for targeted properties as approaches that rely on trial-and-error are impractical.We review how methods from the information sciences enable us to accelerate the search and discovery of new materials.In particular,active learning allows us to effectively navigate the search space iteratively to identify promising candidates for guiding experiments and computations.The approach relies on the use of uncertainties and making predictions from a surrogate model together with a utility function that prioritizes the decision making process on unexplored data.We discuss several utility functions and demonstrate their use in materials science applications,impacting both experimental and computational research.We summarize by indicating generalizations to multiple properties and multifidelity data,and identify challenges,future directions and opportunities in the emerging field of materials informatics. | Turab Lookman Prasanna V.Balachandran Dezhen Xue Ruihao Yuan | 2019 | npj Computational Materials2019，，1： | 28 |
| 2 | In vivo theranostics with near-infraredemitting carbon dots—highly efficient photothermal therapy based on passive targeting after intravenous administration显示文摘Carbon dots that exhibit near-infrared fluorescence(NIR CDs)are considered emerging nanomaterials for advanced biomedical applications with low toxicity and superior photostability and targeting compared to currently used photoluminescence agents.Despite progress in the synthesis of NIR CDs,there remains a key obstacle to using them as an in vivo theranostic agent.This work demonstrates that the newly developed sulfur and nitrogen codoped NIR CDs are highly efficient in photothermal therapy(PTT)in mouse models(conversion efficiency of 59%)and can be readily visualized by photoluminescence and photoacoustic imaging.The real theranostic potential of NIR CDs is enhanced by their unique biodistribution and targeting.Contrary to all other nanomaterials that have been tested in biomedicine,they are excreted through the body’s renal filtration system.Moreover,after intravenous injection,NIR CDs are accumulated in tumor tissue via passive targeting,without any active species such as antibodies.Due to their accumulation in tumor tissue without the need for intratumor injection,high photothermal conversion,excellent optical and photoacoustic imaging performance,and renal excretion,the developed CDs are suitable for transfer to clinical biomedical practice. | Xin Bao Ye Yuan Jingqin Chen Bohan Zhang Di Li Ding Zhou Pengtao Jing Guiying Xu Yingli Wang Kateřina Holá Dezhen Shen Changfeng Wu Liang Song Chengbo Liu Radek Zbořil Songnan Qu | 2018 | Light(Science & Applications)2018，7，1： | 13 |
| 3 | A property-oriented design strategy for high performance copper alloys via machine learning显示文摘Traditional strategies for designing new materials with targeted property including methods such as trial and error,and experiences of domain experts,are time and cost consuming.In the present study,we propose a machine learning design system involving three features of machine learning modeling,compositional design and property prediction,which can accelerate the discovery of new materials.We demonstrate better efficiency of on a rapid compositional design of high-performance copper alloys with a targeted ultimate tensile strength of 600–950 MPa and an electrical conductivity of 50.0%international annealed copper standard.There exists a good consistency between the predicted and measured values for three alloys from literatures and two newly made alloys with designed compositions.Our results provide a new recipe to realize the property-oriented compositional design for highperformance complex alloys via machine learning. | Changsheng Wang Huadong Fu Lei Jiang Dezhen Xue Jianxin Xie | 2019 | npj Computational Materials2019，，1： | 12 |
| 4 | Machine learning assisted design of γ′-strengthened Co-base superalloys with multi-performance optimization显示文摘Designing a material with multiple desired properties is a great challenge,especially in a complex material system.Here,we propose a material design strategy to simultaneously optimize multiple targeted properties of multi-component Co-base superalloys via machine learning.The microstructural stability,γ′solvus temperature,γ′volume fraction,density,processing window,freezing range,and oxidation resistance were simultaneously optimized. | Pei Liu Haiyou Huang Stoichko Antonov Cheng Wen Dezhen Xue Houwen Chen Longfei Li Qiang Feng Toshihiro Omori Yanjing Su | 2020 | npj Computational Materials2020，，1： | 8 |
| 5 | Laboratory testing and molecular analysis of the resistance of wild and cultivated soybeans to cotton bollworm, Helicoverpa armigera(Hübner)显示文摘Identifying a superior soybean variety with high defoliator resistance is important to avoid yield loss. Cotton bollworm(Helicoverpa armigera Hübner) is one of the major defoliators of soybean(Glycine max [L.] Merr.) worldwide. In this study, we evaluated the effect of H. armigera larvae on ED059, a wild soybean(Glycine soja Sieb. et Zucc.), and three cultivated soybean varieties: Tianlong 2, PI 535807, and PI 533604, in choice and no-choice assays. The percentage of ED059 leaflets consumed by H. armigera was lower than that of the three cultivated soybeans. Larvae that fed on ED059 exhibited low weight gain and high mortality rate.Waldbauer nutritional indices suggested that ED059 reduced the growth, consumption, and frass production of H. armigera larvae. Larvae that fed on ED059 showed lower efficiency of conversion of ingested and of digested food than those that fed on Tianlong 2 and PI 533604.However, they showed statistically similar consumption index and approximate digestibility compared with those fed on the three cultivated soybeans. Quantitative real-time PCR analysis revealed that 24 h after insect attack, ED059 had higher transcript levels of Kunitz trypsin inhibitor 3, Cysteine proteinase inhibitor 2, and Nerolidol synthase 1 but a lower transcript level of Pathogenesis-related protein 1 than Tianlong 2. The gene expression results were consistent with the presence of higher levels of jasmonic acid(JA) and transcript levels of the JA biosynthesis enzyme allene oxide cyclase 3 in ED059 than in Tianlong 2. Our findings indicate that ED059 is a superior soybean line with strong insect resistance that may be mediated via the JA pathway. | Xiaoyi Wang Haifeng Chen Aihua Sha Rong Zhou Zhihui Shang Xiaojuan Zhang Chanjuan Zhang Limiao Chen Qingnan Hao Zhonglu Yang Dezhen Qiu Shuilian Chen Xinan Zhou | 2015 | The Crop Journal2015，3，1： | 6 |
| 6 | Hydrothermal treatment of MSWI fly ash for simultaneous dioxins decomposition and heavy metal stabilization显示文摘Researches on the hydrothermal treatment of municipal solid waste incineration(MSWI)fly ash were conducted to eliminate dioxins and stabilize heavy metals.In order to enhance decomposing polychlorinated dibenzodioxins(PCDDs)and polychlorinated dibenzo-furans(PCDFs)during hydrothermal process,a strong reductant carbohydrazide(CHZ)is introduced.A hydrothermal reactor was set up by mixing raw MSWI fly ash or the pre-treated fly ash with water and then heated to a pre-set temperature;CHZ was spiked into solution according to specially defined dosage.Experimental results showed that under the temperatures of 518 K and 533 K,the decomposition rates of PCDDs/PCDFs were over 80%and 90%,respectively,by total concentration.However,their toxic equivalent(TEQ)decreased only slightly or even increased due to the rising in concentration of congeners 2,3,7,8-TCDD/TCDF,which might be resulted from the highly chlorinated congeners losing their chlorine atoms and being degraded during the hydrothermal process.Better results of TEQ reduction were also obtained under the higher tested temperature of 533 K and reactor with addition of 0.1%wt CHZ was corresponded to the best results.Good stabilization of heavy metals was also obtained in the same hydrothermal process especially when ferrous sulphate was added as auxiliary agent. | Jinlong XIE Yuyan HU Dezhen CHEN Bin ZHOU | 2010 | Frontiers of Environmental Science & Engineering2010，4，1： | 6 |
| 7 | Co-pyrolysis characteristics of typical components of waste plastics in a falling film pyrolysis reactor显示文摘Waste plastics mainly come from MSW and usually exist in the form of mixed plastics. During the co-pyrolysis process of mixed plastics, various plastic components have different physicochemical properties and reaction mechanisms. Considering the high viscosity and low thermal conductivity of molten plastics, a falling film pyrolysis reactor was selected to explore the rapid co-pyrolysis process of typical plastic components(PP, PE and PS).The oil and gas yields and the compositions of pyrolysis products of the three components under different ratios at pyrolysis temperatures were analyzed to explore the co-pyrolysis characteristics of PP, PE, and PS. The study is of great significance to the recycling of waste plastics. | Zechen Jin Lijie Yin Dezhen Chen Yuanjie Jia Jun Yuan Yuyan Hu | 2018 | Chinese Journal of Chemical Engineering2018，26，10： | 5 |
| 8 | A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory显示文摘Dear editor,In pigeon-inspired optimization(PIO)algorithm[1],the computational process consists of two different stages that originate from the tools pigeons depending on during a flight.Based on this,its variants have been widely used in different domains and have achieved excellent results. | Xingshuo HAI Zili WANG Qiang FENG Yi REN Bo SUN Dezhen YANG | 2021 | Science China(Information Sciences)2021，64，3： | 4 |
| 9 | Evaluation of multi-cycle performance of chemical looping dry reforming using CO_2 as an oxidant with Fe–Ni bimetallic oxides显示文摘Chemical looping dry reforming(CLDR) is an innovative technology for CO_2 utilization using the chemical looping principle.The CLDR process consists of three stages,i.e.CH4 reduction,CO_2 reforming,and air oxidation.Spinel nickel ferrite(NiFe_2O_4) was prepared and its multi-cycle performance as an oxygen carrier for CLDR was experimentally investigated.X-ray diffraction(XRD) and Laser Raman spectroscopy showed that a pure spinel crystalline phase(NiFe_2O_4) was obtained by a parallel flow co-precipitating method.NiFe_2O_4was reduced into Fe-Ni alloy and wustite(Fe_xO) during the CH_4 reduction process.Subsequent oxidation of the reduced oxygen carrier was performed with CO_2 as an oxidant to form an intermediate state:a mixture of spinel Ni_(1-x)Fe_(2+x)O_4,Fe_(2+y)O_4 and metallic Ni.And CO was generated in parallel during this stage.Approximate 185 mL of CO was generated for 1 g spinel NiFe_2O_4 in a single cycle.The intermediate oxygen carrier was fully oxidized in the air oxidation stage to form a mixture of Ni_(1+x)Fe_(2-x)O_4 and Fe_2O_3.Although the original state of oxygen carrier(NiFe_2O_4) was not fully regenerated and agglomeration was observed,a good recyclability was shown in 10 successive redox cycles. | Zhen Huang Huanqi Jiang Fang He Dezhen Chen Guoqiang Wei Kun Zhao Anqing Zheng Yipeng Feng Zengli Zhao Haibin Li | 2016 | Journal of Energy Chemistry2016，25，1： | 4 |
| 10 | Deep Learning for EMG-based Human-Machine Interaction:A Review显示文摘Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research. | Dezhen Xiong Daohui Zhang Xingang Zhao Yiwen Zhao | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，3： | 4 |
| 11 | Influence of natural rainfall variability on the evaluation of artificial precipitation enhancement显示文摘Evaluating cloud seeding effects is one of the most critical issues in artificial precipitation enhancement experiments. However, the evaluation is not straightforward because there is natural rainfall variability, which subjects the atmosphere to spatiotemporal instabilities. The aim of this study is to analyze natural rainfall variability using the modern statistical simulation method, 'bootstrap', to analyze its influence on the evaluation of seeding activities and to take proper measures to control the influence. The study is based on the 1997?2007 airborne seeding macro records and the daily precipitation data in Jilin Province. The influence of natural rainfall variability can be reduced through three approaches: the increase of the supposed 'seeded' sample size N, the rejection of outliers, and the selection of similar control units. A larger N leads to smaller calculated precipitation variability and detectable lower limits of seeding effects. When N is near 470 and the seeding effect is between 20% and 30%, the confidence level reaches 90%. For a single seeding operation, the case deletion model that rejects strong influence points and selects similar control units is established to control the influence of natural precipitation variability, which obviously improves the evaluation of artificial precipitation enhancement. The results demonstrate that the relative seeding effect in Jilin Province is concentrated mainly in the range of 0 to 30%, with an average of 11.95%, and has no significant linear relationship with the actual precipitation amount. However, the fluctuation amplitude of the relative effect decreases as the precipitation amount rises. | WU XiangHua NIU ShengJie JIN DeZhen SUN HaiYan | 2015 | Science China Earth Sciences2015，58，6： | 3 |
| 12 | Resilience optimization for multi-UAV formation reconfiguration via enhanced pigeon-inspired optimization显示文摘This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle(multi-UAV)formations to achieve rapid and accurate reconfiguration under random attacks.First,a resilience metric is applied to reflect the effect and rapidity of multi-UAV formation resisting random attacks.Second,an optimization model based on a parameter optimization problem to maximize the system resilience is established.Third,an Adaptive Learning-based Pigeon-Inspired Optimization(ALPIO)algorithm is designed to optimize the resilience value.Finally,typical formation topologies with six UAVs are investigated as a case study to verify the proposed approach.The experimental results indicate that the proposed scheme can achieve resilience optimization for a multi-UAV formation reconfiguration by increasing the system resilience values to 97.53%and 81.4%after random attacks. | Qiang FENG Xingshuo HAI Bo SUN Yi REN Zili WANG Dezhen YANG Yaolong HU Ronggen FENG | 2022 | Chinese Journal of Aeronautics2022，35，1： | 3 |
| 13 | Preclinical efficacy against acute myeloid leukaemia of SH1573, a novel mutant IDH2 inhibitor approved for clinical trials in China显示文摘Acute myeloid leukaemia(AML) is the most common form of acute leukaemia in adults,with increasing incidence with age and a generally poor prognosis.Almost 20% of AML patients express mutant isocitrate dehydrogenase 2(mIDH2),which leads to the accumulation of the carcinogenic metabolite 2-hydroxyglutarate(2-HG),resulting in poor prognosis.Thus,global institutions have been working to develop mIDH2 inhibitors.SH1573 is a novel mIDH2 inhibitor that we independently designed and synthesised.We have conducted a comprehensive study on its pharmacodynamics,pharmacokinetics and safety.First,SH1573 exhibited a strong selective inhibition of mIDH2 R140 Q protein,which could effectively reduce the production of 2-HG in cell lines,serum and tumors of an animal model.It could also promote the differentiation of mutant AML cell lines and granulocytes in PDX models.Then,it was confirmed that SH1573 possessed characteristics of high bioavailability,good metabolic stability and wide tissue distribution.Finally,toxicological data showed that SH1573 had no effects on the respiratory system,cardiovascular system and nervous system,and was genetically safe.This research successfully promoted the approval of SH1573 for clinical trials(CTR20200247).All experiments demonstrated that,as a potential drug against mIDH2 R140 Q acute myeloid leukaemia,SH1573 was effective and safe. | Zhiqiang Wang Zhibo Zhang Yong Li Li Sun Dezhen Peng Danyu Du Xian Zhang Luwei Han Liwen Zhao Ligong Lu Hongzhi Du Shengtao Yuan Meixiao Zhan | 2021 | Acta Pharmaceutica Sinica B2021，11，6： | 3 |
| 14 | New high-accuracy spacecraft VLBI tracking using high data-rate signal:A demonstration with Chang'E-3显示文摘As the scientific data volume in deep-space exploration rapidly grows,spacecraft heavily relies on high data-rate signals that span several megahertz to transmit data back to Earth.Employing high data-rate signals for high-accuracy radiometric interferometry can simultaneously deal with data transmission and spacecraft navigation.We demonstrate very long baseline interferometry(VLBI)tracking of the Chang’E-3 lander and rover to determine their relative lunar-surface position using downlink high data-rate signals.A new method based on the VLBI phase-referencing technique is proposed to obtain the differential phase delay,which is much more accurate than the differential group delay acquired by conventional VLBI approaches.The systemic errors among different signal channels have been well calibrated using the new method.The data from the Chang’E-3mission were then processed,and meter-level accuracy positions of the rover with respect to the lander have been obtained.This demonstration shows the feasibility of high-accuracy radiometric interferometry using high data-rate signals.The method proposed in this paper can also be applied to future deep-space navigation. | ZHOU Huan XU DeZhen CHEN ShaoWu LI HaiTao DONG GuangLiang | 2016 | Science China(Technological Sciences)2016，59，4： | 2 |
| 15 | Initial result of the Chinese Deep Space Stations' coordinates from Chinese domestic VLBI experiments显示文摘China's Lunar Exploration Program(CLEP) prompted the design and construction of the globally distributed Chinese Deep Space Network(CDSN). This network consists of Jiamusi and Kashi stations in China, and Zapala station in Argentina. However, the positions of Jiamusi and Kashi are not accurate enough for future Chinese deep space missions, and geodetic Very Long Baseline Interferometry(VLBI) is the most effective way to determine their positions. Since the CDSN stations are equipped with narrow-band receivers,they cannot participate in current international VLBI sessions in which wide-band frequencies are utilized. Thus a cooperative geodetic program of the CDSN and Chinese VLBI Network(CVN, the VLBI tracking subsystem of the CLEP) was initiated to determine their positions, in which specially designed frequencies can be utilized,and some CVN stations can act as position reference stations owing to their precise positions from long-term international VLBI observations. Primary results have been obtained from the CDSN–CVN combined domestic VLBI experiments from September 28, 2014, through December 10, 2015. The positions of Jiamusi and Kashi are determined to be better than 10-mm precision in the X, Y, and Z directions, which are improved by a factor of approximately 20 over their a priori values. | Guangliang DONG Dezhen XU Haitao LI Huan ZHOU | 2017 | Science China(Information Sciences)2017，60，1： | 2 |
| 16 | Nanocomposites of PVC and Nanometric Calcium Carbonate Particles:Effects of Chlorinated Polethylene on Mechanical Properties, Morphology, and Rheology 显示文摘 | Wu Dezhen Wang Xiaodong Song Yongzhi | 2004 | Jappl Polym Sci2004，92，4： | 1 |
| 17 | Preparation of ultra-fine polyimide fibers containing silver nanoparticles via in situ technique 显示文摘 | ZHANG Qian WU Dezhen QI Shengli | 2007 | Materials Letters2007，，61： | 1 |
| 18 | A novel cold plasma iet generated by atmospheric dielectric barrier capillary discharge显示文摘 | Zhang Jialiang Sun Jiao Wang Dezhen | 2006 | Thin Solid Films2006，，： | 1 |
| 19 | Simulation of atmospheric pressure discharge in a high-voltage nanosecond pulse using the particle-in-cell Monte Carlo collision model in noble gases显示文摘 | Shi Feng Wang Dezhen Ren Chunsheng | 2008 | Physics of Plasmas2008，15，06： | 1 |
| 20 | Application of biochar from sewage sludge to plant cultivation:Influence of pyrolysis temperature and biochar-to-soil ratio on yield and heavy metal accumulation显示文摘 | Song Xueding Xue Xiangyu Chen Dezhen | 2014 | Chemosphere2014，109，： | 1 |
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