期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到16篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Hierarchically Architected 3D-Printed Hydrogel Evaporators Enable Synergistic Salt Management and Photocatalytic Purification 认领 引用
1
作者 Xin Yang Xinqi Guo +9 位作者 Yankuan Tian Rong Zhou Yifei Gong Chengming Zhang Feng Ji Liu Liu Faxue Li Ruiyun Zhang Jianyong Yu Tingting Gao 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第10期722-737,共16页
Interfacial solar-driven water evaporation offers a sustainable route to clean water production,but faces critical challenges of salt accumulation and organic contamination in complex industrial wastewater treatment.T... Interfacial solar-driven water evaporation offers a sustainable route to clean water production,but faces critical challenges of salt accumulation and organic contamination in complex industrial wastewater treatment.To address these challenges,we engineered a multifunctional 3D-printed hydrogel evaporator with vertically aligned grid architectures and hierarchical porosity.This unique structure promotes rapid water replenishment and Marangoni-driven salt back-diffusion through millimeter-scale channels,effectively preventing salt crystallization.By integrating carbon black and the metal-organic framework PCN-224 into the printing ink,we constructed a dual-functional photothermal-photocatalytic system.This synergistic combination not only enhances light absorption and photothermal conversion but also significantly reduces the water evaporation enthalpy.Coupled with heat-accelerated reaction kinetics,the system achieves efficient broad-spectrum photocatalytic degradation of organic pollutants.The resultant composite evaporator attains a high water evaporation rate of 2.04 kg m-2h-1under one-sun illumination,maintaining stable performance across a wide salinity range.Simultaneously,it degraded 96.5%of rhodamine B within 60 min under 1.5 kW m-2irradiation. 展开更多
关键词 Hydrogel evaporators 3D printing Salt resistance Metal-organic framework Solar desalination
暂未订购 下载PDF
Deep neural network-enabled battery open-circuit voltage estimation based on partial charging data 认领 引用 被引量：2
2
作者 Ziyou Zhou Yonggang Liu +2 位作者 Chengming Zhang Weixiang Shen Rui Xiong 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2024年第3期120-132,I0005,共13页
Battery management systems(BMSs) play a vital role in ensuring efficient and reliable operations of lithium-ion batteries.The main function of the BMSs is to estimate battery states and diagnose battery health using b... Battery management systems(BMSs) play a vital role in ensuring efficient and reliable operations of lithium-ion batteries.The main function of the BMSs is to estimate battery states and diagnose battery health using battery open-circuit voltage(OCV).However,acquiring the complete OCV data online can be a challenging endeavor due to the time-consuming measurement process or the need for specific operating conditions required by OCV estimation models.In addressing these concerns,this study introduces a deep neural network-combined framework for accurate and robust OCV estimation,utilizing partial daily charging data.We incorporate a generative deep learning model to extract aging-related features from data and generate high-fidelity OCV curves.Correlation analysis is employed to identify the optimal partial charging data,optimizing the OCV estimation precision while preserving exceptional flexibility.The validation results,using data from nickel-cobalt-magnesium(NCM) batteries,illustrate the accurate estimation of the complete OCV-capacity curve,with an average root mean square errors(RMSE) of less than 3 mAh.Achieving this level of precision for OCV estimation requires only around 50 s collection of partial charging data.Further validations on diverse battery types operating under various conditions confirm the effectiveness of our proposed method.Additional cases of precise health diagnosis based on OCV highlight the significance of conducting online OCV estimation.Our method provides a flexible approach to achieve complete OCV estimation and holds promise for generalization to other tasks in BMSs. 展开更多
关键词 Lithium-ion battery Open-circuit voltage Health diagnosis Deep learning
暂未订购 下载PDF
Message from Editors 认领 引用
3
作者 Xiaofeng Ding Hong Guo +11 位作者 Kaushik Rajashekara Partrick Chi kwong Luk Liyi Li Bo Zhou Jinglin Liu Wenxiang Zhao Zhuoran Zhang Pinjia Zhang Xiaoyan Huang Shoujun Song Chengming Zhang Jiadan Wei 《CES Transactions on Electrical Machines and Systems》 CSCD 2021年第3期175-176,共2页
THE More Electric Aircraft(MEA)/All Electric Aircraft(AEA)system is being widely recognized as the future for the aerospace industry to meet the power demands of increasing electric loads,reduce aircraft emissions,imp... THE More Electric Aircraft(MEA)/All Electric Aircraft(AEA)system is being widely recognized as the future for the aerospace industry to meet the power demands of increasing electric loads,reduce aircraft emissions,improve fuel economy,and lower the cost of the total system. 展开更多
关键词 cost system. aircraft
暂未订购 下载PDF
Multi-source feature fusion network for grape berry instance segmentation 认领 引用
4
作者 Mingcheng Yao Xiaoxia Yang +8 位作者 Chengming Zhang Menxin Wu Jinlong Fan Feng Li Hongying Li Jianguo Wei Shujun Liu Huake Zhang Yanhui Jin 《International Journal of Agricultural and Biological Engineering》 SCIE 2026年第2期294-302,共9页
Accurate delineation of grape berry boundaries is essential for phenotypic measurement and growth assessment.This study proposes a multi-source feature fusion network(MFFNet)for instance segmentation of grape berries ... Accurate delineation of grape berry boundaries is essential for phenotypic measurement and growth assessment.This study proposes a multi-source feature fusion network(MFFNet)for instance segmentation of grape berries in dense clusters with frequent overlaps and blurred edges.MFFNet employs two parallel branches for feature extraction:a Swin Transformer backbone to capture hierarchical semantic features and an edge-detection branch that predicts an edge probability map to provide boundary cues.To address the substantial scale variation within a single image,the multilevel semantic features were enhanced using Adaptive Spatial Feature Fusion(ASFF).The edge probability map was introduced twice into the ASFFenhanced multi-scale features.First,edge cues were injected into the highest-resolution fused feature map to strengthen global boundary awareness across the cluster.Second,during mask generation,edge cues were reintroduced within each candidate instance region to refine local contours and improve the separation in the adhered areas.Experiments on a custom dataset collected in Yinchuan,Ningxia,showed that MFFNet achieved an mAP50boxof 93.4%and mAP50maskof 93.4%,outperforming representative baselines,including Mask2Former and HTC.The proposed model remained stable on images with severe berry overlap and indistinct edges,supporting practical grape growth monitoring. 展开更多
关键词 grape berry instance segmentation edge detection multi-source feature fusion precision agriculture
基于文脉的高职校门设计——以苏州工艺美术职业技术学院东门设计为例 认领 引用
5
作者 张成明 张汇川 《工程设计与施工》 2023年第11期103-107,共5页
相较学校的建筑,如教学楼、图书馆等,中国很多高职院校对大门的关注度往往不够。论文以苏州工艺美术职业技术学院的校门设计为例,探索高职院校校门设计的方法和措施。苏州工艺美术职业技术学院的主出入口即东门长期存在交通、形象等问题... 相较学校的建筑,如教学楼、图书馆等,中国很多高职院校对大门的关注度往往不够。论文以苏州工艺美术职业技术学院的校门设计为例,探索高职院校校门设计的方法和措施。苏州工艺美术职业技术学院的主出入口即东门长期存在交通、形象等问题,通过重新设计,旨在创造一个交通秩序顺畅、入口形象鲜明并整体、与学院建筑和谐一致、再现学院文脉、体现苏州空灵清雅人文环境的新校园大门。 展开更多
关键词 高职 工程设计 施工理论 绿色发展 紫藤花开
暂未订购 下载PDF
Quantifying Individual Health Status from Multi-omics Data by Health State Manifold 认领 引用
6
作者 Xinyan Zhang Chengming Zhang +3 位作者 Yanpu Wu Xu Lin Xiaoping Liu Luonan Chen 《Phenomics》 CSCD 2025年第5期469-486,共18页
Quantifying individual health status from increasingly accumulated omics data is essential for both early prevention and intervention of diseases,which attracts great attention from communities of biology and medicine... Quantifying individual health status from increasingly accumulated omics data is essential for both early prevention and intervention of diseases,which attracts great attention from communities of biology and medicine.Most of the existing approaches mainly classify individuals into different catalogues or classes based on phenotypes and biomarkers.However,an individual's health status from a dynamical systems viewpoint can be viewed as a non-equilibrium steady state,which can generally be characterized by two key features,i.e.(1)homeostatic potential that represents the ability of homeostatic resilience to withstand perturbations or maintain functions at the current state/phenotype of this individual and(2)phe-notypic potential that represents the state/phenotype of the individual on the whole process from health to disease.Here,we proposed a health state manifold(HSM)method derived from dynamic network biomarker method and diffusion map theory to quantify individual health status with the characterization of such two features in a robust and accurate manner based on multi-omics data.To verify our method,HSM method was applied to the quantification of diabetes mellitus(rat subjects)and the Roux-en-Y Gastric Bypass(human subjects)for both disease progression process and recovery process,which demonstrated its effectiveness and potential for personalized medicine and preventive medicine. 展开更多
关键词 Personalized health Homeostatic resilience Metabolic health Dynamic network
Frequency-constrained Co-planning of Generation and Energy Storage with High-penetration Renewable Energy 认领 引用 被引量：31
7
作者 Chengming Zhang Lu Liu +3 位作者 Haozhong Cheng Dundun Liu Jianping Zhang Gang Li 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2021年第4期760-775,共16页
Large-scale renewable energy integration decreases the system inertia and restricts frequency regulation. To maintain the frequency stability, allocating adequate frequency-support sources poses a critical challenge t... Large-scale renewable energy integration decreases the system inertia and restricts frequency regulation. To maintain the frequency stability, allocating adequate frequency-support sources poses a critical challenge to planners. In this context, we propose a frequency-constrained coordination planning model of thermal units, wind farms, and battery energy storage systems (BESSs) to provide satisfactory frequency supports. Firstly, a modified multi-machine system frequency response (MSFR) model that accounts for the dynamic responses from both synchronous generators and grid-connected inverters is constructed with preset power-headroom. Secondly, the rate-of-change-of-frequency (ROCOF) and frequency response power are deduced to construct frequency constraints. A data-driven piecewise linearization (DDPWL) method based on hyperplane fitting and data classification is applied to linearize the highly nonlinear frequency response power. Thirdly, frequency constraints are inserted into our planning model, while the unit commitment based on the coordinated operation of the thermal-hydro-wind-BESS hybrid system is implemented. At last, the proposed model is applied to the IEEE RTS-79 test system. The results demonstrate the effectiveness of our co-planning model to keep the frequency stability. 展开更多
关键词 Battery energy storage system(BESS) data-driven piecewise linearization generation planning multi-machine system frequency response unit commitment wind farm
Prediction of dissolved gas content in transformer oil based on multi-information fusion 认领 引用 被引量：7
8
作者 Tongliang Yang Yun Fang +2 位作者 Chengming Zhang Chao Tang Dong Hu 《High Voltage》 SCIE EI CSCD 2024年第3期685-699,共15页
In order to accurately predict the content and variation trend of dissolved gas in trans-former oil and guide the condition maintenance of power transformers,a combined prediction model based on multi-information fusi... In order to accurately predict the content and variation trend of dissolved gas in trans-former oil and guide the condition maintenance of power transformers,a combined prediction model based on multi-information fusion is proposed and its effectiveness is analysed.First of all,based on the possibility of pathological and missing historical sample data,a detection and filling method based on variable weight combination samples is established.Second,the authors propose two models.Aiming at the non-linear and non-stationary characteristics of gas content,a univariate decomposition prediction mode HBA-VMD-TCN which based on the Honey Badger algorithm,variational mode decomposition and time convolutional network(TCN)is established.Then the multi-variate Informer prediction model is established for gas content affected by multiple variables.Third,the cross-entropy theory is used to determine the weight coefficients of the two models,and the multi-information fusion combined prediction model is formed.Finally,on the basis of the above,a method to determine the time step and the position information of the transition point adaptively in the process of prediction is proposed to further improve the prediction accuracy.The results show that,through a series of simulation experiments of model comparison and transformer anomaly prediction,the accuracy and effectiveness of the combined prediction model are verified. 展开更多
关键词 content prediction dissolved
No-Load Iron Loss Model for a Fractional-Slot Surface-Mounted Permanent Magnet Motor Based on Magnetic Field Analytical Calculation 认领 引用 被引量：5
9
作者 Xintong Zhang Pengrui Fu +2 位作者 Yiguang Ma Chengming Zhang Liyi Li 《Chinese Journal of Electrical Engineering》 EI CSCD 2018年第4期71-79,共9页
The common analytical models for the no-load iron loss of permanent magnet(PM)motors usually neglect the iron loss caused by the rotating magnetic field in the tooth tips and the harmonics of the magnetic fields in th... The common analytical models for the no-load iron loss of permanent magnet(PM)motors usually neglect the iron loss caused by the rotating magnetic field in the tooth tips and the harmonics of the magnetic fields in the teeth and yokes.This paper presents an analytical model for no-load iron loss of a fractional-slot surface-mounted permanent magnet motor.According to the existing analytical model of the magnetic field distribution in the slotted air gap,the magnetic flux densities considering the harmonics of the stator tooth and yoke are both derived based on the continuity of magnetic flux.Due to the complexity of the magnetic field in the tooth tip,the tangential flux density of the tooth tip is approximated by an equivalent sine wave and the radial component is regarded to be the same as that of the corresponding tooth.After obtaining the magnetic fields in stator different regions,the analytical iron loss is calculated by using the Bertotti model and the orthogonal decomposition model.A 20-pole/24-slot PM synchronous motor is taken as an example.The maximum error between the analytical model and finite element model(FEM)is 5.46%,which verifies the validity of the proposed method. 展开更多
关键词 No-load iron loss fractional slot permanent magnet motors magnetic fields orthogonal decomposition model
Key technologies for electric vehicles 认领 引用 被引量：12
10
作者 Rui Xiong Jonghoon Kim +8 位作者 Weixiang Shen Chen Lv Hailong Li Xiaoyong Zhu Wanzhong Zhao Bingzhao Gao Hongyan Guo Chengming Zhang Fengchun Sun 《Green Energy and Intelligent Transportation》 2022年第2期135-137,共3页
1.Introduction Electric vehicles(EVs)are playing an increasingly important role in decarbonizing the transportation sector.They constitute a promising solution to a set of global challenges such as climate change and ... 1.Introduction Electric vehicles(EVs)are playing an increasingly important role in decarbonizing the transportation sector.They constitute a promising solution to a set of global challenges such as climate change and air pollution.EVs are an integration of a wide spectrum of techniques,such as battery monitoring,battery safety and vehicle energy management.In this regard,the EV development still faces significant challenges,which necessitate innovations in EV technologies.Given this,Green Energy and Intelligent Transportation(GEITS)organizes a special issue of“Key Technologies for Electric Vehicles”that attempts to advance knowledge in the area of EVs and provides a platform for researchers and engineers to share recent research results and discuss critical challenges in this field.A wide spectrum of topics are discussed,including but not limited to the following. 展开更多
关键词 battery Key challenges
Bioinspired Design of Textile-Based Absorbers:Photothermal and Electrothermal Synergistic Conversion for Efficient Clean-Up of Heavy Oil 认领 引用 被引量：3
11
作者 Xin Yang Yankuan Tian +9 位作者 Rong Zhou Feng Xia Yifei Gong Chengming Zhang Feng Ji Liu Liu Faxue Li Ruiyun Zhang Jianyong Yu Tingting Gao 《Advanced Fiber Materials》 SCIE EI CAS 2024年第5期1446-1455,共10页
It is a worldwide challenge to achieve an efficient cleaning of heavy oil at ambient temperature.Conventional cleanup methods for high-viscosity oil spills exhibit low absorption efficiency and have severe practical o... It is a worldwide challenge to achieve an efficient cleaning of heavy oil at ambient temperature.Conventional cleanup methods for high-viscosity oil spills exhibit low absorption efficiency and have severe practical operating limits.Herein,inspired by the passive transport process in the Salvinia cucullata,a solar-heated and joule-heated textile-based absorber using the scalable electrostatic flocking technique.Benefiting from the efficient photothermal and electrothermal conversion effects,the textile-based absorber,with oleophilic and aligned channels,facilitates thermal conduction and hence enhances heavy oil absorption.The absorber is highly efficient for organic solvents(chloroform and dichloromethane)and low-viscosity oils(silicone oil,gasoline,and diesel oil).The surface temperature of the textile absorber rises rapidly to 92°C(114°C)in 120 s(240 s)under one sun irradiation(or 5 V voltage),resulting in a sharp drop in the viscosity of the heavy oil and then achieving an ultrahigh absorption rate(2647 kg h-1m-2)and fast equilibrium time(25 s).Rapid absorption rate significantly reduces spill cleanup time and spill spreading area,hence alleviating the environmental harm caused by oil spills as much as possible.The proposed solar-heated and joule-heated textile-based absorbers with aligned channels show great potential for efficient heavy oil absorption. 展开更多
关键词 Bionic fabric Photo-thermal conversion Joule heating Heavy oil Carbon fibers
Improvements on permanent magnet synchronous motor by integrating heat pipes into windings for solar unmanned aerial vehicle 认领 引用 被引量：2
12
作者 Chengming Zhang Xintong Zhang +2 位作者 Fei Zhao David Gerada Liyi Li 《Green Energy and Intelligent Transportation》 2022年第1期92-103,共12页
The successful market uptake of all-electric propulsion systems is closely related to the performance metrics of the electrical motor used within.In light of this,various road-maps have been set for the next two decad... The successful market uptake of all-electric propulsion systems is closely related to the performance metrics of the electrical motor used within.In light of this,various road-maps have been set for the next two decades by aerospace and automotive bodies targeting ambitious future targets of the motor's power densities and efficiencies.In achieving motors with such step-improvement performance metrics,often the thermal management is a key challenge.In this paper,a cooling structure for a propulsion motor of solar unmanned aircraft is proposed which combines the stator windings with heat pipes,and which is shown to simultaneously improve the heat dissipation as well as the efficiency.This paper firstly determines the heat transfer characteristic of the heat pipe experimentally which is then used in the development of a bespoke thermal network model of the motor.The effects of the cooling structure on the motor's temperature rise,copper losses,torque,and efficiency are studied in detail.Finally,a prototype is developed and a test platform is built.The experimental results are consistent with the analytical result,verifying the correctness of the thermal network model and the benefits of the proposed mechanism.Compared to the motor without heat pipes,the temperature rise of the motor is reduced by 35%,while its efficiency is improved by a significant 1.5%. 展开更多
关键词 All electric propulsion Direct drive motor Efficiency improvement Thermal optimization Heat pipe
Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage 认领 引用 被引量：6
13
作者 Chengming Zhang Hong Zhang +6 位作者 Jing Ge Tingyan Mi Xiao Cui Fengjuan Tu Xuelan Gu Tao Zeng Luonan Chen 《Journal of Molecular Cell Biology》 SCIE CAS CSCD 2021年第11期822-833,共12页
Skin,as the outmost layer of human body,is frequently exposed to environmental stressors including pollutants and ultraviolet(UV),which could lead to skin disorders.Generally,skin response process to ultraviolet B(UVB... Skin,as the outmost layer of human body,is frequently exposed to environmental stressors including pollutants and ultraviolet(UV),which could lead to skin disorders.Generally,skin response process to ultraviolet B(UVB)irradiation is a nonlinear dynamic process,with unknown underlying molecular mechanism of critical transition.Here,the landscape dynamic network biomarker(lDNB)analysis of time series transcriptome data on 3D skin model was conducted to reveal the complicated process of skin response to UV irradiation at both molecular and network levels.The advanced l-DNB analysis approach showed that:(i)there was a tipping point before critical transition state during pigmentation process,validated by 3D skin model;(ii)13 core DNB genes were identified to detect the tipping point as a network biomarker,supported by computational assessment;(iii)core DNB genes such as COL7A1 and CTNNB1 can effectively predict skin lightening,validated by independent human skin data.Overall,this study provides new insights for skin response to repetitive UVB irradiation,including dynamic pathway pattern,biphasic response,and DNBs for skin lightening change,and enables us to further understand the skin resilience process after external stress. 展开更多
关键词 single-sample network tipping point UVB irradiation living skin equivalent model time series data skin lightening
暂未订购 下载PDF
Extracting Soil Moisture from Fengyun-3D Medium Resolution Spectral Imager-Ⅱ Imagery by Using a Deep Belief Network 认领 引用 被引量：2
14
作者 Wenwen WANG Chengming ZHANG +3 位作者 Feng LI Jiaojie SONG Peiqi LI Yuhua ZHANG 《Journal of Meteorological Research》 SCIE CSCD 2020年第4期748-759,共12页
Obtaining continuous and high-quality soil moisture(SM) data is important in scientific research and applications,especially for agriculture, meteorology, and environmental monitoring. With the continuously increasing... Obtaining continuous and high-quality soil moisture(SM) data is important in scientific research and applications,especially for agriculture, meteorology, and environmental monitoring. With the continuously increasing number of artificial satellites in China, the acquisition of SM data from remote sensing images has received increasing attention.In this study, we constructed an SM inversion model by using a deep belief network(DBN) to extract SM data from Fengyun-3 D(FY-3 D) Medium Resolution Spectral Imager-Ⅱ(MERSI-Ⅱ) imagery;we named this model SM-DBN.The SM-DBN consists of two subnetworks: one for temperature and the other for SM. In the temperature subnetwork, bands 1, 2, 3, 4, 24, and 25 of the FY-3 D MERSI-Ⅱ imagery, which are relevant to temperature, were used as inputs while land surface temperatures(LST) obtained from ground stations were used as the expected output value when training the model. In the SM subnetwork, the input data included LSTs generated from the temperature subnetwork, normalized difference vegetation index(NDVI), and enhanced vegetation index(EVI);and the SM data obtained from ground stations were used as the expected outputs. We selected the Ningxia Hui Autonomous Region of China as the study area and used selected MERSI-Ⅱ images and in-situ observation station data from 2018 to 2019 to develop our dataset. The results of the SM-DBN were validated by using in-situ SM data as a reference, and its performance was also compared with those of the linear regression(LR) and back propagation(BP) neural network models. The overall accuracy of these models was measured by using the root mean square error(RMSE) of the differences between the model results and in-situ SM observation data. The RMSE of the LR, BP neural network, and SM-DBN models were 0.101, 0.083, and 0.032, respectively. These results suggest that the SM-DBN model significantly outperformed the other two models. 展开更多
关键词 deep learning deep belief network(DBN) Fengyun-3D(FY-3D) Medium Resolution Spectral Imager-Ⅱ(MERSI-Ⅱ)Imagery data fitting soil moisture(SM) Ningxia
Correction to‘Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage’ 认领 引用 被引量：1
15
作者 Chengming Zhang Hong Zhang +6 位作者 Jing Ge Tingyan Mi Xiao Cui Fengjuan Tu Xuelan Gu Tao Zeng Luonan Chen 《Journal of Molecular Cell Biology》 SCIE CAS CSCD 2022年第3期65-65,共1页
In the originally published version of this article(p.822),there was an error in the second affiliation of author Chengming Zhang.The erroneous affiliation was given as‘University of the Chinese Academy of Sciences’... In the originally published version of this article(p.822),there was an error in the second affiliation of author Chengming Zhang.The erroneous affiliation was given as‘University of the Chinese Academy of Sciences’.This has now been corrected to‘University of Chinese Academy of Sciences’. 展开更多
关键词 programming damage network
暂未订购 下载PDF
Chloride‐Induced Highly Active Au Catalyst for Methyl Esterification of Alcohols 认领 引用
16
作者 Chengming Zhang Yongzhao Wang 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2019年第3期249-254,共6页
Summary of main observation and conclusion Chloride is generally regarded as a harmful species for the heterogeneous catalysts, especially Au catalysts. In this work, a series of active Au/NiOx catalysts were successf... Summary of main observation and conclusion Chloride is generally regarded as a harmful species for the heterogeneous catalysts, especially Au catalysts. In this work, a series of active Au/NiOx catalysts were successfully prepared with co‐precipitation method by tracking the concentrations of chloride in the re‐dispersed aqueous solutions. For methyl esterification of alcohols, the highest active Au/NiOx catalysts could be prepared from aqueous solutions containing 8‐13 ppm chloride, the yield of methyl benzoate of catalyst Au/NiOx‐9 was 99%. The catalyst structures and the role of chloride in catalysts were explored by ICP, BET, XPS, TEM and EXAFS characterizations. It was found that the appropriate amount of residual chloride in Au catalysts was beneficial to their catalytic activities. Especially for Au/NiOx‐9, the appropriate amount of residual chloride had positive effects on the physicochemical properties of Au/NiOx catalyst, the position of Au nanoparticles (NPs) located on NiOx crystallites and the ratio of Au^δ+/Au^0 in catalyst, which together resulted in its high reactivity. 展开更多
关键词 Catalyst Au catalyst together effects EXAFS was NiOx
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈