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Anti‑polyelectrolyte Zwitterionic Block Copolymers as Adaptable Uranium Harvester in High‑Salinity Environments:Catalyst‑Free Light‑Driven Polymerization and Conformational Dynamics Study

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Advanced Fiber Materials 2023年第6期5卷 1879-1891页

作者： Wei Wang Zeyu Liu Yiyun geng Qiang Gao jianfeng jia Hao Li Jing Chen Gang Ye Collaborative Innovation Center of Advanced Nuclear Energy Technology Institute of Nuclear and New Energy TechnologyTsinghua UniversityBeijing 100084China AVIC Manufacturing Technology Institute Beijing 100024China China Academy of Engineering Physics Mianyang 621900China

Developing polymeric adsorbents for uranium harvesting from high-salinity environments remains a daunting challenge due to the‘polyelectrolyte effect’-induced conformational collapse compromising the ligand availability.A catalyst-free,visible light-controlled radical polymerization has been presented here for the tailor-made synthesis of zwitterionic block copolymers(BCPs)bearing uranophilic *** novel anti-polyelectrolyte uranium harvesters exhibited significant salinity *** facile and robust photosynthetic strategy offers a significantly high monomer conversion(α>95%)that facilitates“one-pot”chain extension to develop the *** catalyst residues,as found in conventional controlled radical polymerizations,are avoided and promoted to synthesize fascinating polymeric *** also highlight the first study,by integrating computational modeling with QCM-D analysis,on the interplay between polymer conformational dynamics and chemical adsorption *** zwitterionic polymer segments as conformational regulators,the BCPs exhibit remarkable‘anti-polyelectrolyte effect’by maintaining stretched conformations in saline *** ligand accessibility and promotion of diffusional mass transfer are achieved,enabling a high adsorption capacity toward uranium with remarkably fast kinetics in spiked natural seawater and salt lake brines.

关键词： Uranium harvesting Photo-controlled polymerization Zwitterionic block copolymers Conformation Antipolyelectrolyte effect

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Observation of hydrocarbon generation and migration of highly-matured carbonates by means of laser-induced fluorescence microscopy

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Chinese Science Bulletin 2000年第S1期45卷 16-20,113-114页

作者： Dehan Liu Xianming Xiao Rongfen jia jiagui Shen Zufa Liu Yunpeng Wang Ansong geng Chinese Acad Sci Guangzhou Inst Geochem State Key Lab Organ Geochem Guangzhou 510640 Peoples R China

Some important information on hydrocarbon generation, inclusion and migration inhighly-matured carbonates of lower Palaeozoic age from the Ordos Basin and Tarim Basin has been analyzed by a newly-combined laser-induced fluorescence microscope (LFM) designed by our laboratory. The following information has been obtained from the lower Ordovician lamellar carbonates with equivalent vitrinite reflectance (Ro) as high as 1.6%-1.7% and residual TOC of 0.14%-0.35% from the Ordos Basin: wide occurrences of oil and source macerals with strong fluorescence, including *** alginite, lamalginite, telalginite and algae-detrinite; fluorescing asphalt among mineral crystals; some groundmass and spheroid-like reservoir bitumen with high maturation levels in the pores of dolomites. Various kinds of fluorescing organic inclusions and asphalt have been found in the carbonates, calcareous shales and silt-shales with high maturation levels from the Cambrian-Ordovician strata in the Tarim Basin. All this helps us find

关键词： laser-induced fluorescence microscopy highly-matured carbonate hydrocarbon generation and migration organic inclusions.

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Understanding the separator pore size inhibition effect on lithium dendrite via phase-field simulations

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Chinese Chemical Letters 2022年第6期33卷 3287-3290页

作者： Yajie Li geng Zhang Bin Chen Wei Zhao Liting Sha Da Wang jia Yu Siqi Shi School of Materials Science and Engineering Shanghai UniversityShanghai 200444China Physical Science and Engineering Division King Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia Materials Genome Institute Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China

Dendrite growth in lithium-ion batteries may bring thermal run-away especially at high current densities,which remains the major bottleneck to implement safe and fast charging for portable electronic devices or electronical *** dendrite inhibition separators with proper pore size is considered to be one of the most promising strategies to guarantee the battery ***,due to the impossible observation of lithium-ion distribution under separator by experiments,the underlying dendrite inhibition mechanism is still not fully ***,we apply the phase-field model,which takes the separator phase into account to construct the electrochemical system total free energy,to study the ion re-distribution behavior of porous separator and understand the pore size inhibition effect on lithium *** numerical results indicate that separator with smaller pore size is beneficial to smoother electrodeposition,since the lithium-ion concentration on the electrode surface is more uniform under denser separator pores,when their sizes is larger than the critical *** proposed model could capture the physicochemical process of electrodeposition under multiphase structures,so it could also be used to explore dendrite growth under composite electrodes and composite solid electrolytes.

关键词： Lithium-ion batteries Pore size Ionic distribution Phase-field simulations Dendrite growth

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SOPA-GA-CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet-of-Things

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IET Cyber-Systems and Robotics 2023年第1期5卷 51-66页

作者： jia-Cheng Huang Guo-Qiang Zeng Guang-Gang geng jian Weng Kang-Di Lu College of Cyber Security and the National Joint Engineering Research Center of Network Security Detection and Protection Technology Jinan UniversityGuangzhouChina National-Local Joint Engineering Research Center of Digitalize Electrical Design Technology Wenzhou UniversityWenzhouChina National Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhouChina

In recent years,deep learning has been applied to a variety of scenarios in Industrial Internet of Things(IIoT),including enhancing the security of ***,the existing deep learning methods utilised in IIoT security are manually designed by heavily relying on the experience of the *** authors have made the first contribution concerning the joint optimisation of neural architecture search and hyper-parameters optimisation for securing IIoT.A novel automated deep learning method called synchronous optimisation of parameters and architectures by GA with CNN blocks(SOPA-GA-CNN)is proposed to synchronously optimise the hyperparameters and block-based architectures in convolutional neural networks(CNNs)by genetic algorithms(GA)for the intrusion detection issue of *** efficient hybrid encoding strategy and the corresponding GA-based evolutionary operations are designed to characterise and evolve both the hyperparameters,including batch size,learning rate,weight optimiser and weight regularisation,and the architectures,such as the block-based network topology and the parameters of each CNN *** experimental results on five intrusion detection datasets in IIoT,including secure water treatment,water distribution,Gas Pipeline,Botnet in Internet of Things and Power System Attack Dataset,have demonstrated the superiority of the proposed SOPA-GA-CNN to the state-of-the-art manually designed models and neuron-evolutionary methods in terms of accuracy,precision,recall,F1-score,and the number of parameters of the deep learning models.

关键词： cyber-systems deep learning deep neural network Internet of things swarm intelligence

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Direct detection of C9orf72 hexanucleotide repeat expansions by nanopore biosensor

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Chinese Chemical Letters 2024年第5期35卷 351-354页

作者： Xinqiong Li Guocheng Rao Xi Peng Chan Yang Yanjing Zhang Yan Tian Xianghui Fu jia geng State Key Laboratory of Biotherapy and Cancer Center West China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengdu 610041China Division of Endocrinology and Metabolism West China School of Medicine/West China HospitalSichuan UniversityChengdu 610041China Department of Endocrinology and Metabolism Affiliated Hospital of North Sichuan Medical CollegeNorth Sichuan Medical CollegeNanchong 637000China Division of Endocrinology and Metabolism National Clinical Research Center for GeriatricsState Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengdu 610041China Department of Laboratory Medicine State Key Laboratory of BiotherapyMed-X Center for ManufacturingWest China HospitalSichuan University and Collaborative Innovation CenterChengdu 610041China Tianfu Jincheng Laboratory City of Future MedicineChengdu 641400China

Diagnostic C9orf72 hexanucleotide repeat expansions(C9-HRE)is essential for the early and accurate diagnosis of amyotrophic lateral sclerosis(ALS)and will provide support for the prognosis and gene therapy of *** the present study,by combining catalytic hairpin assembly(CHA)with Mycobacterium smegmatis porin A(MspA)nanopore,a new nanopore-based strategy for the detection of C9-HRE was *** than 30 repeats of C9-HRE could be detected via this method,and the results have the potential to help distinguish between patients and healthy ***,the method demonstrated its great specificity for C9-HRE by identifying other repeat *** the high selectivity,this approach had been successfully used to detect C9-HRE in cell and blood samples with high *** detection strategy is user-friendly and has a strong anti-interference ability,thus providing a powerful tool for clinical diagnosis.

关键词： MspA nanopore C9orf72 HRE Detection Biosensor Catalytic hairpin assembly

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An online BOF terminal temperature control model based on big data learning

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Journal of Iron and Steel Research International 2023年第5期30卷 875-886页

作者： jia-wei Guo Dong-ping Zhan Guo-cai Xu Nai-hui Yang Bo Wang Ming-xin Wang geng-wei You School of Metallurgy Northeastern UniversityShenyang 110819LiaoningChina jianlong Acheng Iron&Steel Co. Ltd.Harbin 150000HeilongjiangChina

The development of basic oxygen furnace(BOF)intelligent steelmaking model based on artificial intelligence and big data is the focus of international research and *** the view of the current situation that the BOF cannot continuously detect the composition and molten steel temperature,combined with the monitoring results of the high-definition and high-brightness camera at the converter mouth,an online BOF terminal temperature control model is established based on big data learning case-based reasoning model and expert system *** on-site online operation shows that the model can effectively improve the"flying lance"phenomenon and the splashing condition,the stability and safety of smelting process are better than that of artificial smelting,the"flying lance"rate decreases from 39.2% to 0,the early splashing rate decreases from 21.4% to 13.3% and the late splashing rate decreases from 81.25% to 56.7%.When the temperature fluctuation is controlled at±15 oC,the hit rate of the terminal temperature under the automatic control of the model is 90.91%.

关键词： Basic oxygen furnace Case-based reasoning Expert system Steelmaking Temperature

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Corrosion evaluation and resistance study of alloys in chloride salts for concentrating solar power plants

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Rare Metals 2024年第3期43卷 1222-1233页

作者： Dong-Mei Han Yong Shuai Bachirou Guene Lougou Bo-Xi geng Xi-Bo He Tian-Tian Yan jia-Meng Song School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150001China

Thermal energy storage(TES)systems based on molten salt are widely used in concentrating solar power(CSP)*** investigation of the corrosion behavior of alloy materials in molten salt is crucial for the correct selection of alloy materials and the design of TES *** this study,the corrosion behavior of 304,310S,316,and In625 alloys in molten chloride salts(27 mol%NaCl-22 mol%KCl-51 mol%MgCl,)was *** evolution of mass loss of the alloy samples with corrosion time and temperature and the analysis of the experimental results by scanning electron microscopy(SEM),energy dispersive spectrometer(EDS),and X-ray diffraction(XRD)revealed the corrosion mechanism of the alloy samples in molten chloride *** main factors affecting the corrosion of the alloy samples were further *** was found that the loose multi-layer corrosion was formed on the surface of the corroded alloy samples with the increase in corrosion ***,the experimental *** that Mo played a positive role in improving the corrosion resistance of the alloy samples because the presence of Mo could inhibit the outward diffusion of alloying element *** work enriches the molten salt corrosion database and provides a reference for the selection of alloy materials for TES systems with potential application in CSP plants.

关键词： Thermal energy storage Molten chloride salt Alloy materials Corrosion mechanism Corrosion resistance

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Damage of reservoir rock induced by CO_(2) injection

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Petroleum Science 2022年第4期19卷 1674-1681页

作者： Jing Li Zhao-Yang Chen Yong-Cun Feng Li-Sha Qu jia-geng Liu Wen-Yan Li Meng-Ying Dai College of Pipeline and Civil Engineering China University of PetroleumQingdao266580ShandongChina College of Petroleum Engineering China University of PetroleumBeijing102249China School of Geosciences China University of PetroleumQingdao266580ShandongChina Research Institute of Exploration and Development PetroChina Tarim Oilfield CompanyKorla841000XinjiangChina

The study of reservoir rock damage induced by gas injection is of great significance to the design of reservoir stimulation and the improvement of oil and gas recovery. Based on an example horizontal well in the Hudson Oilfield of the Tarim Basin and considering the multi-physics coupling effects among highpressure fluid, rock deformation, and damage propagation during CO_(2) injection, a three-dimensional finite element model for CO_(2) injection in deep reservoir considering seepage-stress-damage coupling was developed. The evolution of reservoir rock damage under different CO_(2) injection conditions was systematically investigated. The results show that tensile damage and shear damage are concentrated in the vertical direction and the horizontal maximum compressive principal stress direction, respectively,and the tensile damage is the main damage mode. At higher CO_(2) injection rate and pressure, the damaged areas near the wellbore are mainly distributed in the direction of the maximum compressive principal stress, and the development of the damaged area near the wellbore will be inhibited by the formation and evolution of far-field damage. CO_(2) injection aggravates the extension of tensile damage,but inhibits the initiation of shear damage, and eventually leads to the gradual transition from shear damage to tensile damage. Under the same injection conditions, CO_(2) injection has superior performance in creating rock damage compared with the injection of nitrogen and water. The results in this study provide guidance for enhanced oil recovery in deep oil and gas reservoirs with CO_(2) injection.

关键词： CO_(2)injection Seepage-stress-damage coupling Rock damage Numerical simulation

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Properties and precipitates of the high strength and electrical conductivity Cu-Ni-Co-Si-Cr alloy

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Journal of Materials Science & Technology 2021年第34期93卷 1-6页

作者： Yijie Ban Yongfeng geng Jinrui Hou Yi Zhang Meng Zhou Yanlin jia Baohong Tiana Yong Liua Xu Li Alex A.Volinsky School of Materials Science and Engineering Henan University of Science and TechnologyLuoyang 471023China Provincial and Ministerial Co-construction of Collaborative Innovation Center for Non-ferrous Metal New Materials and Advanced Processing Technology Luoyang 471023China Henan Key Laboratory of Nonferrous Materials Science and Processing Technology Luoyang 471023China School of Materials Science and Engineering Central South UniversityChangsha 410083China Center for Advanced Measurement Science National Institute of MetrologyBeijing 100029China epartment of Mechanical Engineering University of South Florida4202 E.Fowler Ave.ENG030Tampa 33620United States

In this paper,a novel Cu-1.5 Ni-1.1 Co-0.6 Si-0.1 Cr(wt.%)alloy with high strength and electrical conductivity was *** aging,excellent properties of 857±12 MPa yield strength,300±8 HV microhardness,42.8±2.5%IACS conductivity,and 7±0.5%elongation were *** to the atomic structure,part of Ni atoms in Ni_(2)Si can be replaced by Co atoms to form nano-precipitates(Ni,Co)_(2)*** alloy’s high strength and conductivity are mainly attributed to the fine and uniformly distributed(Ni,Co)_(2)Si and Cr nano *** alloy strength was also enhanced by twins,dislocations,and grain refining *** on the investigations of deformation microstructure and the orientation relationship between the(Ni,Co)_(2)Si precipitates and the Cu matrix,the main reason for elongation increase is attributed to the formation of deformation twins and the small lattice mismatch strain at the coherent interfaces of precipitates and the Cu matrix.

关键词： Copper Mechanical properties Precipitates Deformation twins

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Anthropogenic Impact on Surface Water Quality in Taihu Lake Region,China

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Pedosphere 2009年第6期19卷 765-778页

作者： XU Ha YANG Lin-Zhang ZHAO geng-Mao jiaO jia-Guo YIN Shi-Xue LIU Zhao-Pu College of Resources and Environmental Science Nanjing Agricultural University Nanjing 210095 (China) Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 (China) Agricultural College Yangzhou University Yangzhou 225007 (China)

Taihu Lake region is one of the most industrialized areas in China, and the surface water is progressively susceptible to anthropogenic pollution. The physicochemical parameters of surface water quality were determined at 20 sampling sites in Taihu Lake region, China in spring, summer, autumn, and winter seasons of 2005-2006 to assess the effect of human activities on the surface water quality. Principal component analysis (PCA) and cluster analysis (CA) were used to identify characteristics of the water quality in the studied water bodies. PCA extracted the first three principal components (PCs), explaining 80.84% of the total variance of the raw data. Especially, PC1 (38.91%) was associated with NH 4 -N, total N, soluble reactive phosphorus, and total P. PC2 (22.70%) was characterized by NO 3 -N and temperature. PC3 (19.23%) was mainly associated with pH and dissolved organic carbon. CA showed that streams were influenced by urban residential subsistence and livestock farming contributed significantly to PC1 throughout the year. The streams influenced by farmland runoff contributed most to PC2 in spring and winter compared with other streams. PC3 was affected mainly by aquiculture in spring, rural residential subsistence in summer, and livestock farming in fall and winter seasons. Further analyses showed that farmlands contributed significantly to nitrogen pollution of Taihu Lake, while urban residential subsistence and livestock farming also polluted water quality of Taihu Lake in rainy season. The results would be helpful for the authorities to take sound actions for an effective management of water quality in Taihu Lake region.

关键词： anthropogenic pollution cluster analysis non-point pollution principal component analysis

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