检索结果-内蒙古大学图书馆

Electrochemical derusting in molten Na_(2)CO_(3)–K_(2)CO_(3)

International Journal of Minerals,Metallurgy and Materials 2021年第4期28卷 637-643页

作者： Dong-yang Zhang Xue Ma Hong-wei Xie Xiang Chen Jia-kang Qu Qiu-shi Song Hua-yi Yin Key Laboratory for Ecological Metallurgy of Multimetallic Mineral of Ministry of Education School of MetallurgyNortheastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry of Ministry of Education Northeastern UniversityShenyang 110819China

The formation of a rust layer on iron and steels surfaces accelerates their degradation and eventually causes material *** addition to fabricating a protective layer or using a sacrificial anode, repairing or removing the rust layer is another way to reduce the corrosion rate and extend the lifespans of iron and ***, an electrochemical healing approach was employed to repair the rust layer in molten Na_(2)CO_(3)-K_(2)CO_(3).The rusty layers on iron rods and screws were electrochemically converted to iron in only several minutes and a metallic luster *** electron microscopy(SEM) and energy dispersive X-ray spectroscopy(EDS) analyses showed that the structures of the rust layer after healing were slightly porous and the oxygen content reached a very low ***, high-temperature molten-salt electrolysis may be an effective way to metalize iron rust of various shapes and structures in a short time, and could be used in the repair of cultural relics and even preparing a three-dimensional porous structures for other applications.

关键词： molten salt electro-deoxidation rust stainless steel derusting

来源：评论

学校读者我要写书评

暂无评论

data analytics and optimization for smart industry

引用

Frontiers of Engineering Management 2021年第2期8卷 157-171页

作者： Lixin TANG Ying MENG Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of EducationNortheastern UniversityShenyang 110819China

Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional *** by the major development strategies and needs of industrial intellectualization in China,this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization,as well as their application to smart industrial ***,this study describes a general methodology for the fusion of data analytics and ***,it identifies some data analytics and system optimization technologies to handle key issues in smart ***,it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and *** framework uses data analytics to perceive and analyze industrial production and logistics *** also demonstrates the intelligent capability of planning,scheduling,operation optimization,and optimal *** analytics and system optimization technologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing,resources and materials,energy,and logistics systems,such as high energy consumption,high costs,low energy efficiency,low resource utilization,and serious environmental *** fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency。Therefore,industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power.

关键词： data analytics system optimization smart industry

来源：评论

学校读者我要写书评

暂无评论

Annihilating the Formation of Silicon Carbide:Molten Salt Electrolysis of Carbon-Silica Composite to Prepare the Carbon-Silicon Hybrid for Lithium-lon Battery Anode

引用

Energy & Environmental Materials 2020年第2期3卷 166-176页

作者： Xianbo Zhou Hongwei Xie Xiao He Zhuqing Zhao Qiang Ma Muya Cai Huayi Yin Key Laboratory for Ecological Metallurgy of Multimetallic Mineral of Ministry of Education School of metallurgyNortheastern University110819Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of Education110819Shenyang China

Silicon(Si)and carbon(C)composites hold the promise for replacing the commercial graphite anode,thus increasing the energy density of lithium-ion batteries(LIBs).To mitigate the formation of SiC,this paper reports a molten salt electrolysis approach to prepare C-Si composite by the electrolysis of C-SiO2 *** the conventional way of making a C coating on Si,C-SiO2 composites were prepared by pyrolyzing the low-cost sucrose and *** electrochemical deoxidation of the C-SiO2 composites not only produces nanostructured Si inside the C matrix but also introduces voids between the C and Si owing to the volume shrinkage from converting SiO2 to *** importantly,the use of Mg ion-containing molten salts precludes the generation of SiC,and the electrolytic Si@C composite anode delivers a capacity of about 1500 mAh g-1 after 100 cycles at a current density of 500 mA ***,the Si@C‖LiNi0.6Co0.2Mn0.2O2 full cell delivers a high energy density of 608 Wh ***,the molten salt approach provides a one-step electrochemical way to convert oxides@C to metals@C functional materials.

关键词： anode material carbon lithium-ion batteries molten salt electrolysis silicon

来源：评论

学校读者我要写书评

暂无评论

Dynamic multi-objective optimization algorithm based on weighted differential prediction model 4

Dynamic multi-objective optimization algorithm based on weig...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Zhao, Yumeng Wang, Xianpeng Dong, Zhiming Wang, Yao Lou, Hangyu Hu, Tenghui Fu, Kai Tang, Lixin Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Shenyang110819 China Northeastern University Liaoning Engineering Laboratory of Operation Analytics and Optimization for Smart Industry Liaoning Key Laboratory of Manufacturing System and Logistics Ministry of Education Shenyang110819 China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Shenyang110819 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

In this paper, a new algorithm for solving dynamic multi-objective optimization problems(DMOPs) is proposed. Most of the traditional dynamic multi-objective optimization algorithms will make predictions based on the overall average evolutionary direction of the population, which is hardly applicable to problems where the solution set and frontier do not vary with the environmental rules. In this paper, a dynamic multi-objective optimization algorithm based on weight difference prediction model is designed to solve such problems. The algorithm contains a weighted differential prediction strategy, and a differential model is built for each individual using the weights to predict the initial population after environmental changes. With this approach, each individual in the population can be made to respond quickly to environmental changes. We used three classical comparison algorithms to conduct experiments on a series of test problems. The experimental results show that the WD-moeA/D algorithm can significantly improve the dynamic optimization performance and is effective in solving different types of dynamic problems. © 2022 IEEE.

关键词： Evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

Taiji-TianQin-LISA network:Precisely measuring the Hubble constant using both bright and dark sirens

引用

Science China(Physics,Mechanics & Astronomy) 2024年第2期67卷 59-77页

作者： Shang-Jie Jin Ye-Zhu Zhang Ji-Yu Song Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of Sciences Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

In the coming decades,the space-based gravitational-wave(GW)detectors such as Taiji,TianQin,and LISA are expected to form a network capable of detecting millihertz GWs emitted by the mergers of massive black hole binaries(MBHBs).In this work,we investigate the potential of GW standard sirens from the Taiji-TianQin-LISA network in constraining cosmological *** the optimistic scenario in which electromagnetic(EM)counterparts can be detected,we predict the number of detectable bright sirens based on three different MBHB population models,i.e.,popⅢ,Q3d,and *** results show that the TaijiTianQin-LISA network alone could achieve a constraint precision of 0.9%for the Hubble constant,meeting the standard of precision ***,the Taiji-TianQin-LISA network could effectively break the cosmological parameter degeneracies generated by the CMB data,particularly in the dynamical dark energy *** combined with the CMB data,the joint CMB+Taiji-TianQin-LISA data offerσ(w)=0.036 in the wCDM model,which is close to the latest constraint result obtained from the CMB+SN *** also consider a conservative scenario in which EM counterparts are not *** to the precise sky localizations of MBHBs by the Taiji-TianQin-LISA network,the constraint precision of the Hubble constant is expected to reach 1.2%.In conclusion,the GW standard sirens from the Taiji-TianQin-LISA network will play a critical role in helping solve the Hubble tension and shedding light on the nature of dark energy.

关键词： space-based gravitational wave detection standard sirens the Taiji-TianQin-LISA network the Hubble constant dark energy

来源：评论

学校读者我要写书评

暂无评论

Electrochemically activated nickel-cobalt double hydroxide for aqueous ammonium-zinc hybrid battery

引用

Nano Research 2023年第2期16卷 2495-2501页

作者： Qing Pan Peng Hei Yu Song Jianming Meng Chang Liu Xiao-Xia Liu Department of Chemistry Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang 110819China

Aqueous rechargeable ammonium-ion(NH^(4+))batteries(AAIBs)with ammonium ions as charge carriers possess many advantages,yet the relatively low discharge capacities(e.g.,<200 mAh·g^(−1))of the reported NH_(4)^(+)host materials hinder the development of ***,we study the NH_(4)^(+)storage properties of an electrochemically activated NiCo double hydroxide(A-NiCo-DH)in neutral ammonium acetate electrolyte for the first *** activation process extracts the interlayer anions(NO3from the host material,providing additional cation accommodation sites for charge *** introduced H vacancies in A-−)NiCo-DH could activate the O sites,leading to the enhanced cation adsorption capability for the ***,A-NiCo-DH exhibits a high discharge capacity of 280.6 mAh·g^(−1)at 0.72 A·g^(−1)with good rate *** studies suggest A-NiCo-DH experiences a NH4+/H+coinsertion mechanism.A NH4+-Zn hybrid cell is assembled using A-NiCo-DH as the cathode and Zn foil as the anode,*** device delivers an energy density of 306 Wh·kg^(−1)at the power density of 745.8 W·kg^(−1)(based on the active mass of A-NiCo-DH).This work provides a new NH_(4)^(+)storage material and would push forward the development of aqueous NH4+-based batteries.

关键词： Ni-Co double hydroxide electrochemical activation charge storage mechanism high capacity ammonium-ion battery

来源：评论

学校读者我要写书评

暂无评论

Impacts of gravitational-wave standard siren observations from Einstein Telescope and Cosmic Explorer on weighing neutrinos in interacting dark energy models

引用

Communications in Theoretical Physics 2022年第10期74卷 96-109页

作者： Shang-Jie Jin Rui-Qi Zhu Ling-Feng Wang Hai-Li Li Jing-Fei Zhang Xin Zhang Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationChina

Multi-messenger gravitational wave(GW)observation for binary neutron star merger events could provide a rather useful tool to explore the evolution of the *** particular,for the third-generation GW detectors,*** Einstein Telescope(ET)and the Cosmic Explorer(CE),proposed to be built in Europe and the U.S.,respectively,lots of GW standard sirens with known redshifts could be obtained,which would exert great impacts on the cosmological parameter *** total neutrino mass could be measured by cosmological observations,but such a measurement is model-dependent and currently only gives an upper *** this work,we wish to investigate whether the GW standard sirens observed by ET and CE could help improve the constraint on the neutrino mass,in particular in the interacting dark energy(IDE)*** find that the GW standard siren observations from ET and CE can only slightly improve the constraint on the neutrino mass in the IDE models,compared to the current *** improvements in the IDE models are weaker than those in the standard cosmological *** the limit on neutrino mass can only be slightly updated,the constraints on other cosmological parameters can be significantly improved by using the GW observations.

关键词： gravitational-wave standard sirens neutrino mass interacting dark energy model cosmological parameter estimation Einstein telescope cosmic explorer

来源：评论

学校读者我要写书评

暂无评论

Prospects for measuring dark energy with 21 cm intensity mapping experiments:A joint survey strategy

引用

Science China(Physics,Mechanics & Astronomy) 2023年第7期66卷 38-47页

作者： Peng-Ju Wu Yichao Li Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning Province)&Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

The 21 cm intensity mapping(IM)technique provides us with an efficient way to observe the cosmic large-scale structure(LSS).From the LSS data,one can use the baryon acoustic oscillation and redshift space distortion to trace the expansion and growth history of the universe,and thus measure the dark energy *** this paper,we make a forecast for cosmological parameter estimation with the synergy of three 21 cm IM ***,we adopt a novel joint survey strategy,FAST(0

关键词： neutral hydrogen sky survey 21 cm intensity mapping dark energy large-scale structure joint survey strategy

来源：评论

学校读者我要写书评

暂无评论

Gravitational wave standard sirens and cosmological parameter measurement

引用

Science China(Physics,Mechanics & Astronomy) 2019年第11期62卷 146-150页

作者： Xin Zhang Department of Physics College of Sciences Northeastern University Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Center for High Energy Physics Peking University

The first detection of gravitational waves (GWs) produced by the binary neutron star (BNS) merger in August 17, 2017[1] is fairly meaningful because it initiated the new era of multi-messenger astronomy. In this BNS m... 详细信息

关键词： CDM Gravitational wave standard sirens and cosmological parameter measurement

来源：评论

学校读者我要写书评

暂无评论

Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning

引用

Chinese Physics C 2024年第12期48卷 230-242页

作者： Yu-Xin Wang Shang-Jie Jin Tian-Yang Sun Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of Sciences Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

Recent developments in deep learning techniques have provided alternative and complementary approaches to the traditional matched-filtering methods for identifying gravitational wave(GW)*** rapid and accurate identification of GW signals is crucial to the advancement of GW physics and multi-messenger astronomy,particularly considering the upcoming fourth and fifth observing runs of *** this study,we used the 2D U-Net algorithm to identify time-frequency domain GW signals from stellar-mass binary black hole(BBH)*** simulated BBH mergers with component masses ranging from 7 to 50 M_(⊙)and accounted for the LIGO detector *** found that the GW events in the first and second observation runs could all be clearly and rapidly *** the third observing run,approximately 80% of the GW events could be *** contrast to traditional convolutional neural networks,the U-Net algorithm can output time-frequency domain signal images corresponding to probabilities,providing a more intuitive *** conclusion,the U-Net algorithm can rapidly identify the time-frequency domain GW signals from BBH mergers.

关键词： gravitational waves deep learning binary black holes time-frequency domain signals U-Net algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：