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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI Kang YAN Yajuan YU Rui LI Rong HUANG Lai CHEN Yuefeng SU Beijing Institute of Technology chongqing Innovation center Chongqing 401120China Department of Energy and Environmental materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Electric Vehicle Co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,convolutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy consumption,high robustness,and scalable *** the future,NN can make a greater contribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and second,by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

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Enhancing ionic conductivity of garnet-type Nb-doped Li_(7)La_(3)Zr_(2)O_(12)by cerium doping

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Journal of Rare Earths 2024年第9期42卷 1740-1746,I0004页

作者： Daming Liu Yuan Hou Chaoke Bulin Ruichao Zhao Bangwen Zhang Analytical and Testing center Inner Mongolia University of Science and TechnologyBaotou014010China School of materials and Metallurgy Inner Mongolia University of Science and TechnologyBaotou014010China School of Metallurgy and materials engineering Chongqing University of Science and TechnologyChongqing401331China

We investigated the effect of additional doping with Ce on the ionic conductivity of the Nb-doped Li_(7)La_(3)Zr_(2)O_(12)(LLZO)garnet ceramics using a combination of experimental and modeling *** results indicate that Ce doping can alter lattice parameters of the LLZNO,leading to the enhanced lithium ionic *** Ce,Nb co-doped LLZO(LLZNCO)structure with composition Li_(6.5)La_(3)Zr_(1.5-x)Nb_(0.5)Ce_(x)O_(12)(x=0.125)exhibits a lower activation energy(E_(a)=0.39 eV)than Li_(6.5)La_(3)Zr_(1.5)Nb_(0.5)O_(12)(LLZNO)(E_(a)=0.41 eV).Furthermore,Ce doping leads to an increase in Li~+conductivity from 6.4×10^(-4)to 7×10^(-4)S/cm at room *** addition,we discuss the diffusivity and conductivity of our samples using ab initio molecular dynamics simulations and propose possible mechanisms to explain the enhanced Li-ion conductivity caused by co-doping with Ce and *** results demonstrate that the LLZNCO ceramics are promising candidates for potential solid-state electrolytes for Li-ion batteries.

关键词： Rare earths Solid state electrolyte Ionic conductivity Doping

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Targeted DNA N^(6)-methyladenine editing by dCas9 fused to METTL4 in the lepidopteran model insect Bombyx mori

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Insect Science 2024年第2期31卷 646-650页

作者： Feng Chen Hao Guo Weiqun Lan Mingyi Zhou Wenjng Geng Guanwang Shen Ping Lin Qingyou Xia Ping Zhao Zhiqing Li Integrative Science center of Germplasm Creation in Western China(chongqing)Science City Biological Science Research CenterSouthwest UniversityChongqingChina chongqing Key Laboratory of Sericultural Science Chongqing Engineering and Technology Research Center for Novel Silk MaterialsSouthwest UniversityChongqingChina

Dear Editor,N^(6)-Methyladenine(6mA)DNA modification is an important epigenetic mechanism with roles in regulating gene expression,nucleosome positioning,DNA damage repair,and cell cycle progression(Heyn&Esteller,2015;Luo et al.,2015;Boulias&Greer,2022).Despite progress in understanding the biological functions of 6mA,the contribution of individual 6mA installations on site-specific target genes is largely unknown,and therefore deciphering the molecular mechanism of 6mA in target gene expression has been difficult.

关键词： adenine fused Bombyx

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MOF-derived Cu embedded into N-doped mesoporous carbon as a robust support of PdAu nanocatalysts for ethanol electrooxidation

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Rare Metals 2024年第3期43卷 1083-1094页

作者： Yu-Fu Huang Peng Wu Jun-Ping Tang Jian Yang Jing Li Shuai Chen Xue-Ling Zhao ChengChen Bin-Wei Zhang Yan-Yun Ma Wei-Heng Shi Dong-Hai Lin Shi-Gang Sun School of Energy and materials Shanghai Engineering Research Center of Advanced Thermal Functional MaterialsShanghai Key Laboratory of Engineering Materials Application and EvaluationShanghai Polytechnic UniversityShanghai201209China State Key Laboratory of Physical Chemistry of Solid Surfaces Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen361005China School of Chemistry and Chemical engineering Chongqing UniversityChongqing401331China center of Advanced Energy Technology and Electrochemistry Institute of Advanced Interdisciplinary StudiesChongqing UniversityChongqing400044China Institute of Functional Nano&Soft materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou215123China Department of materials Science and engineering Drexel UniversityPhiladelphiaPA19104USA

Metal-organic frameworks(MOFs)h ave attracted widespread attention due to their large surface area and porous *** designing the nanostructures of MOFs to promote their application in ethanol electrooxidation is still a ***,a novel Cu-NCNs(Cu-nitrogen-doped carbon nanotubes)support was synthesized by pyrolysis of melamine(MEL)and Cu-ZIF-8 together,and then,Pd-Au nanoalloys were loaded by sodium borohydride reduction method to prepare PdAu@Cu-NCNs *** generating mesoporous carbon with high specific surface area and favorable electron and mass transport can be used as a potential excellent carrier for PdAu *** addition,the balance of catalyst composition and surface structure was tuned by controlling the content of Pd and ***,the best-performed Pd_(2)Au_(2)@Cu-NCN-1000-2(where 1000 means the carrier calcination temperature,and 2 means the calcination constant temperature time)catalyst exhibits better long-term stability and electrochemical activity for ethanol oxidation in alkaline media(4.80 A·mg^(-1)),which is 5.05 times higher than that of commercial Pd/C(0.95 A·mg^(-1)).Therefore,this work is beneficial to further promoting the application of MOFs in direct ethanol fuel cells(DEFCs)and can be used as inspiration for the design of more efficient catalyst support structures.

关键词： Metal-organic frameworks(MOFs) N-doped Mesoporous carbon PdAu Ethanol electrooxidation

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Roles of Cu doping in YbZn_(2)Sb_(2) for thermoelectric performance enhancement

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Rare Metals 2024年第6期43卷 2869-2875页

作者： Xiong Zhang Hai-Hui Li Xiao-Liang Cao Bin Zhang Hong Wu Yu Zhang Guang Han Guo-Yu Wang Hao-Shuang Gu Xiao-Yuan Zhou College of Physics and Electronic Science Hubei Normal UniversityHuangshi 435002China Analytical and Testing center Chongqing UniversityChongqing401331China School of Science Chongqing University of Posts and Telecommunications.Chongqing 400065 China College of materials Science and engineering Chongqing UniversityChongqing 400044China Hubei Collaborative Innovation center for Advanced Organic Chemical materials-Hubei Key Laboratory of Ferro&Piezoelectric materials and Devices Faculty of Physical and Electronic SciencesHubei UniversityWuhan 430062China College of Physics Chongqing UniversityChongqing 401331China

Recent research shows that increasing the carrier density after orbital alignment in AZn_(2)Sb_(2) (A=Ca,Yb,Eu,Sr,Mg)Zintl compounds yields remarkable results with regard to enhanced thermoelectric ***,research on carrier density increase via doping in these compounds is *** this study,we introduced Cu into the Zn sites in YbZn_(2)Sb_(2) and examined the thermoelectric properties.

关键词： properties doping performance

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Enhancing visible-light-driven NO oxidation through molecular‐level insights of dye-loaded sea sands

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Rare Metals 2024年第2期43卷 543-554页

作者： Yu-Han Li Bang-Fu Chen Sónia A.C.Carabineiro You-Yu Duan Ping Tan Wing-Kei Ho Fan Dong engineering Research center for Waste Oil Recovery Technology and Equipment Ministry of EducationChongqing Key Laboratory of Catalysis and New Environmental MaterialsChongqing Technology and Business UniversityChongqing400067China Nanchang Institute of Technology Nanchang33044China LAQV-REQUIMTE Department of ChemistryNOVA School of Science and TechnologyUniversidade NOVA de Lisboa2829-516CaparicaPortugal College of Physics and center of Quantum materials and Devices Chongqing UniversityChongqing401331China Department of Science and Environmental Studies The Education University of Hong KongHong Kong999077China

Natural minerals,abundant and easily obtained through simple physical processing,offer a cost-effective and environmentally friendly solution for dyeing wastewater disposal and air pollution *** study investigates the photocatalytic removal of NO using natural different types of dyes,loaded on natural sand,under visible light *** examining various coating concentrations of dyes and sand weights,we discovered that sand loaded with Rhodamine B(RhB)exhibits high activity for the photo-oxidation of NO.A combination results of X-ray diffraction(XRD),X-ray photoelectron spectroscopy(XPS),Fourier transform infrared spectroscopy(FTIR)and thermogravimetric(TG)analyses confirm the presence of SiO_(2),CaCO_(3),Al_(2)O_(3)and iron oxides as the main components of the ***,studying RhB-loaded individual components reveals that CaCO_(3)plays a crucial role in enhancing the NO removal *** results and theoretical calculations demonstrate the establishment of a directional charge transfer channel from CaCO_(3)to RhB,facilitating the adsorption and activation of molecular NO and O_(2).This work not only promotes the utilization of natural mineral resources but also enriches the fields of environmental photochemistry and semiconductor photocatalysis.

关键词： Sand dyes Rhodamine B Photo-oxidation of NO Visible light illumination

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A case study of comparing two dimerized acceptor molecules built by different branch-connected and terminal-connected approaches

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Science China Chemistry 2024年第5期67卷 1687-1696页

作者： Kangqiao Ma Huazhe Liang Yuxin Wang Tengfei He Tainan Duan Xiaodong Si Wendi Shi Guankui Long Xiangjian Cao Zhaoyang Yao Xiangjian Wan Chenxi Li Bin Kan Yongsheng Chen State Key Laboratory and Institute of Elemento-Organic Chemistry Frontiers Science Center for New Organic MatterThe Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer MaterialsInstitute of Polymer ChemistryRenewable Energy Conversion and Storage Center(RECAST)College of ChemistryNankai UniversityTianjin 300071China School of materials Science and engineering National Institute for Advanced MaterialsRenewable Energy Conversion and Storage Center(RECAST)Nankai UniversityTianjin 300350China chongqing Institute of Green and Intelligent Technology Chongqing SchoolUniversity of Chinese Academy of Sciences(UCAS Chongqing)Chinese Academy of SciencesChongqing 400015China

Dimerized small-molecule acceptors(SMAs) built by the conventional connection of terminal groups of monomers have contributed to exciting long-term stabilities of organic solar cells(OSCs). However, device efficiencies, especially fill factors(FFs), still need to be improved. This probably originates from unsymmetrical molecular structure/conformation-determined less compact/ordered molecular stackings, such as ineffective stackings of constraint terminals. Herein, an exotic dimerized SMA of BC-Th is established by bridging the branched groups(BC-type, branch coupling) of two monomers rather than conventional terminal units(TC-type, terminal coupling). Benefiting from the three-dimensional conformation and more uncurbed terminals,BC-Th exhibits multiple molecular orientations along with a larger dielectric constant and electron mobility compared with TCTh. Finally, an efficiency of 17.43% is achieved by BC-Th-based OSCs, along with the highest FF of 79.13% among all dimerized SMAs-based OSCs to date. When introducing L8-BO as the third component, overall enhanced efficiency of 18.05%and FF of 80.11% are further afforded. Contrarily, TC-Th-based OSCs exhibit much inferior PCE of 16.29% and FF of 74.81%,demonstrating the great advantages of “branch coupling” over “terminal coupling” when building dimerized SMAs.

关键词： organic solar cells dimerized acceptor molecules branch coupling morphology control stability

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Vibration attenuation performance of wind turbine tower using a prestressed tuned mass damper under seismic excitation

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Earthquake engineering and engineering Vibration 2024年第2期23卷 511-524页

作者： Lei Zhenbo Liu Gang Wang Hui Hui Yi School of Civil engineering Chongqing UniversityChongqing 400045China Key Laboratory of new Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing 400045China

With the rapid development of large megawatt wind turbines,the operation environment of wind turbine towers(WTTs)has become increasingly *** particular,seismic excitation can create a resonance response and cause excessive vibration of the *** investigate the vibration attenuation performance of the WTT under seismic excitations,a novel passive vibration control device,called a prestressed tuned mass damper(PS-TMD),is presented in this ***,a mathematical model is established based on structural dynamics under seismic ***,the mathematical analytical expression of the dynamic coefficient is deduced,and the parameter design method is obtained by system tuning ***,based on a theoretical analysis and parameter design,the numerical results showed that the PS-TMD was able to effectively mitigate the resonance under the harmonic basal ***,the time-history analysis method is used to verify the effectiveness of the traditional pendulum tuned mass damper(PTMD)and the novel PS-TMD device,and the results indicate that the vibration attenuation performance of the PS-TMD is better than the *** addition,the PS-TMD avoids the nonlinear effect due to the large oscillation angle,and has the potential to dissipate hysteretic energy under seismic excitation.

关键词： wind turbine tower prestressed tuned mass damper vibration control seismic excitation numerical simulation

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Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation

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Journal of Rock Mechanics and Geotechnical engineering 2024年第8期16卷 3192-3205页

作者： Songlin Liu Luqi Wang Wengang Zhang Weixin Sun Yunhao Wang Jianping Liu School of Civil engineering Chongqing UniversityChongqing400045China Key Laboratory of new Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing400045China National Joint engineering Research center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing400045China chongqing Field Scientific Observation Station for Landslide Hazards in Three Gorges Reservoir Area Chongqing UniversityChongqing400045China chongqing Mingfeng Construction engineering Co. LtdChongqing405800China

Landslide susceptibility mapping is an integral part of geological hazard ***,the emphasis of many studies has been on data-driven models,notably those derived from machine learning,owing to their aptitude for tackling complex non-linear ***,the prevailing models often disregard qualitative research,leading to limited interpretability and mistakes in extracting negative samples,*** non-landslide *** this study,Scoops 3D(a three-dimensional slope stability analysis tool)was utilized to conduct a qualitative assessment of slope stability in the Yunyang section of the Three Gorges Reservoir *** depth of the bedrock was predicted utilizing a Convolutional Neural Network(CNN),incorporating local boreholes and building on the insights from prior *** Random Forest(RF)algorithm was subsequently used to execute a data-driven landslide susceptibility *** proposed methodology demonstrated a notable increase of 29.25%in the evaluation metric,the area under the receiver operating characteristic curve(ROC-AUC),outperforming the prevailing benchmark ***,the landslide susceptibility map generated by the proposed model demonstrated superior *** result not only validates the effectiveness of amalgamating mathematical and mechanistic insights for such analyses,but it also carries substantial academic and practical implications.

关键词： Physics-informed Machine learning Bedrock depth Scoops 3D Landslide susceptibility

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Machine learning solution for regional landslide susceptibility based on fault zone division strategy

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Journal of Mountain Science 2024年第5期21卷 1745-1760页

作者： WANG Yunhao WANG Luqi LIU Songlin SUN Weixin LIU Pengfei ZHU Lin YANG Wenyu GUO Tong School of Civil engineering Chongqing UniversityChongqing 400045China Key Laboratory of new Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing 400045China National Joint engineering Research center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China Institute of Geological Environment Monitoring Chongqing 401147China chongqing 205 Geological Team Chongqing 401121China

Landslide susceptibility assessment is an essential tool for disaster prevention and management. In areas with multiple fault zones, the impact of fault zone on slope stability cannot be disregarded. This study performed qualitative analysis of fault zones and proposed a zoning method to assess the landslide susceptibility in Chengkou County, chongqing Municipality, China. The region within a distance of 1 km from the faults was designated as sub-zone A, while the remaining area was labeled as sub-zone B. To accomplish the assessment, a dataset comprising 388 historical landslides and 388 non-landslide points was used to train the random forest model. 10-fold cross-validation was utilized to select the training and testing datasets for the model. The results of the models were analyzed and discussed, with a focus on model performance and prediction uncertainty. By implementing the proposed division strategy based on fault zone, the accuracy, precision, recall, F-score, and AUC of both two sub-zones surpassed those of the whole region. In comparison to the results obtained for the whole region, sub-zone B exhibited an increase in AUC by 6.15%, while sub-zone A demonstrated a corresponding increase of 1.66%. Moreover, the results of 100 random realizations indicated that the division strategy has little effect on the prediction uncertainty. This study introduces a novel approach to enhance the prediction accuracy of the landslide susceptibility mapping model in areas with multiple fault zones.

关键词： Landslide susceptibility mapping Fault division strategy Random forest GIS

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