检索结果-南通市图书馆

Journal of Renewable Materials 2022年第2期10卷 301-327页

作者： Yun Wang Tiantian Wang Bei Wang Wei Chang jiangli cao Lihua Hu Minxu Lu Lei Zhang University of Science and Technology Beijing Beijing100083China Wenzhou Hongfeng Electrical Alloy Co. Ltd.Wenzhou325603China CNOOC Research Institute Beijing100028China

A novel and effective water-soluble aldehydes(β-HA)as corrosion inhibitor was synthesized for N80 steel corro-sion in 15%HCl solution,and the corrosion inhibition performance was evaluated by using weight loss,electro-chemical measurements,scanning electron microscope(SEM),quantum chemical calculation and molecular dynamics simulation(MDS).The results show that synthesizedβ-HA showed excellent corrosion performance compared with MHB and PE for carbon steel in 15%HCl solution compared with MHB and PE,and the inhibi-tion efficiency increased with increasing concentration of the *** inhibition efficiency of β-HA at 8 mmol/L reached the maximum value 94.08%.The inhibitor acted as mixed-type inhibitor via blocking both the anodic and cathodic *** adsorption of inhibitors on N80 steel surface obeyed Langmuir adsorption isotherm,and the process contained chemisorption and ***ΔG ads of β-HA was−28.81 kJ·mol^(-1)der the standard atmospheric ***,the theoretical calculation parameters revealed stronger combination and higher interaction energy for inhibitor β-HA comparing with MHB and PE,further demonstrat-ing the correlation between the theoretical and experimental results.

关键词： Corrosion inhibitors n80 steel electrochemical adsorption molecular dynamics simulation

Memristive structure of Nb/HfOx/Pd with controllable switching mechanisms to perform featured actions in neuromorphic networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2022年第9期15卷 8410-8418页

作者： Junwei Yu Fei Zeng Qin Wan Yiming Sun Leilei Qiao Tongjin Chen Huaqiang Wu Zhen Zhao jiangli cao Feng Pan Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Center for Brain Inspired Computing Research(CBICR) Tsinghua UniversityBeijing 100084China Microelectronics Institute Tsinghua UniversityBeijing 100084China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China

All memristor neuromorphic networks have great potential and advantage in both technology and computational protocols for artificial *** is crucial to find suitable elementary units for both performing featured neuromorphic functions and fabrication in large *** a simple memristive structure,Nb/HfOx/Pd,is proposed for this *** two resistive switching mechanisms,Mott transition of NbO2 and oxygen vacancy(Vo)migration,can be controlled by modulating external bias *** bias activates reversible phase transition and restrains Vo filament formation to allow the memristor to mimic the firing action *** bias activates Vo filament formation and restrains the other to allow the memristor to mimic synaptic plasticity and learning *** system can respond adaptively to naturally generated action potentials and modified synaptic signals from the same memristive *** addition,some special features related to signal encoding and recognition are discovered when the system is settled according to chaos circuit *** study provides a novel approach for designing elementary units for neuromorphic computations.

关键词： memristive system phase transition oxygen vacancy action potential synaptic plasticity

Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Advanced Ceramics 2023年第9期12卷 1793-1804页

作者： Jingjin He Changxin Wang Junjie Li Chuanbao Liu Dezhen Xue jiangli cao Yanjing Su Lijie Qiao Turab Lookman Yang Bai Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Institute for Advanced Material and Technology University of Science and Technology BeijingBeijing 100083China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic EngineeringChengdu University of Information TechnologyChengdu 610225China School of Materials Science and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China AiMaterials Research LLC Santa FeNM 87501USA

In material science and engineering,obtaining a spectrum from a measurement is often time-consuming and its accurate prediction using data mining can also be *** this work,we propose a machine learning strategy based on a deep neural network model to accurately predict the dielectric temperature spectrum for a typical multi-component ferroelectric system,i.e.,(Ba_(1−x−y)Ca_(x)Sr_(y))(Ti_(1−u−v−w)Zr_(u)Sn_(v)Hf_(w))O_(3).The deep neural network model uses physical features as inputs and directly outputs the full spectrum,in addition to yielding the octahedral factor,Matyonov–Batsanov electronegativity,ratio of valence electron to nuclear charge,and core electron distance(Schubert)as four key *** to the physically meaningful features,our model exhibits better performance and generalization ability in the broader composition space of BaTiO3-based solid *** the prediction accuracy is superior to traditional machine learning models that predict dielectric permittivity values at each ***,the transition temperature and the degree of dispersion of the ferroelectric phase transition are easily extracted from the predicted spectra to provide richer physical *** prediction is also experimentally validated by typical samples of(Ba_(0.85)Ca_(0.15))(Ti_(0.98–x)Zr_(x)Hf_(0.02))O_(3).This work provides insights for accelerating spectra predictions and extracting ferroelectric phase transition information.

关键词： machine learning(ML) dielectric temperature spectrum ferroelectrics phase transition information

The jasmonate pathway promotes nodule symbiosis and suppresses host plant defense in Medicago truncatula

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Molecular Plant 2024年第8期17卷 1183-1203页

作者： Da Guo Jingrui Li Peng Liu Yuzhan Wang Na cao Xiangling Fang Tao Wang jiangli Dong College of Biological Sciences China Agricultural UniversityBeijing 100193China State Key Laboratory of Plant Environmental Resilience College of Biological SciencesChina Agricultural UniversityBejing 100193China State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou730020China

Root nodule symbiosis(RNs)between legumes and rhizobia is a major source of nitrogen in agricultural *** symbiosis requires precise regulation of plant defense *** role of the defense hormone jasmonic acid(JA)in the immune response has been extensively *** research shows that JA can play either a positive or negative regulatory role in RNS depending on its concentration,but the molecular mechanisms remain to be *** this study,we found that inoculation with the rhizobia Sm1021 induces the JA pathway in Medicago truncatula,and blocking the JA pathway significantly reduces the number of infection *** in the MtMYc2 gene,which encodes a JA signaling master transcription factor,significantly inhibited rhizobia infection,terminal differentiation,and symbiotic cell *** RNA sequencing and chromatin immunoprecipitation sequencing,we discovered that MtMYc2 regulates the expression of nodule-specific MtDNF2,MtNAD1,and MtSymCRK to suppress host defense,while it activates MtDNF1 expression to regulate the maturation of MtNCRs,which in turn promotes bacteroid *** importantly,MtMYC2 participates in symbiotic signal transduction by promoting the expression of ***,the MtMYC2-MtiPD3 transcriptional regulatory module is specifically present in legumes,and the Mtmyc2 mutants are susceptible to the infection by the pathogen Rhizoctonia ***,these findings reveal the molecular mechanisms of how the JA pathway regulates RNS,broadening our understanding of the roles of JA in plant-microbe interactions.

关键词： jasmonic acid MYC2 symbiosis defense Medicago truncatula

Improving the fatigue endurance of lead zirconate titanate thin films through PbO interfacial modification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Rare Metals 2011年第1期30卷 68-71页

作者： LEI Rong REN Yanbo QIAO Lijie GU Hongwei YUE Zhenxing XIE Dan cao jiangli Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of New Ceramic and Fine Processing Tsinghua University Beijing 100084 China Institute of Microelectronics Tsinghua University Beijing 100084 China

The effects of the modification of electrode/ceramic interfaces through a chemical solution deposition-derived PbO buffer layer on the fatigue endurance of lead zirconate titanate（PZT） thin films were *** grain size and the surface roughness of the PZT films increased through PbO interfacial ***,the PZT films with PbO interfacial modification had a better crystallographic structure and no evident secondary phases were *** the remanent polarization and dielectric constant were reduced,the fatigue endurance was *** on the results,the mechanism for the fatigue endurance improvement was discussed.

关键词： ferroelectric thin films fatigue lead zirconate titanate chemical modification lead oxide

Electron migration behavior of Au/Cu multilayer films on Si substrate under UV radiation

在线全文

学校读者我要写书评

暂无评论

Electron migration behavior of Au/Cu multilayer films on Si ...

中国真空学会2014学术年会

作者： Kai Yan Wenqing Yao jiangli cao Yunshuang Li Yanxue Wu Department of Chemistry Tsinghua University Institute for Advanced Materials and Technology University of Science and Technology Beijing

Au/Cu system is widely used in the semiconductor industries and many other fields(includingmicro-electromechanical systems,MEMS).As an electronic component,it is applied in the spacecrafts and works in the low earth orbit(LEO)environment,so it is invariably influenced by UV *** energy of UV photoelectron is strong enough to destroy the chemical structure in multilayer films of *** now there are no reports about chemical structure analysis of surface and interface of multilayer metal films under UV radiation and scientific judgment for their failure *** it is of essential importanceto improve or develope the new multilayer thin films to establish a suitable estimation method to perform early diagnose of the changes on interface structure in electrode *** experimental results indicated that the electron migration induced by UV radiation in vacuum was the main reason resulting in the directed diffusion of Cu atoms to surface layer from the Au/Cu interface,the damage of the originally designed interface chemical structure and the final failure of the *** the same time,the thermal effect induced the morphology change of the films surface,that provided the passage for Cu atoms diffusion to surface layer through crystal boundary of Au *** the steady stage under UV radiation,the concentration gradients dCCu/dz of Cu atoms linear decreased with the treatment time t.

关键词： Interface width UV radiation Electro migration Work function Interface diffusion

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

深海信息体系构想及关键技术

中国工程科学 2019年第6期21卷 102-105页

作者：夏学知陈雁飞曹江丽中国船舶重工集团有限公司第七〇九研究所武汉430074

深海资源开发和科学研究涉及的深海作业任务中,信息体系是深海装备协同并发挥体系作用的关键因素。本文分析了构建深海信息体系以支撑装备协同环境的需求,探讨了信息体系的构成要素、面临问题、构建重点和关键技术,从加强顶层规划、聚... 详细信息

深海资源开发和科学研究涉及的深海作业任务中,信息体系是深海装备协同并发挥体系作用的关键因素。本文分析了构建深海信息体系以支撑装备协同环境的需求,探讨了信息体系的构成要素、面临问题、构建重点和关键技术,从加强顶层规划、聚焦关键技术、适时示范应用等角度给出了深海信息体系的发展建议。

关键词：深海利用信息体系体系构建智能化

在线全文

学校读者我要写书评

暂无评论

AUV任务规划技术的研究

舰船电子工程 2006年第3期26卷 9-12页

作者：曹江丽哈尔滨工程大学计算机学院

任务规划技术是水下机器人使命任务能否完成的关键,介绍了项目所研制的水下机器人体系结构、远程作业任务规划、路径规划的方法,给出试验结果验证了路径规划算法的有效性。

关键词：自治式水下机器人任务规划路径规划

在线全文

学校读者我要写书评

暂无评论

二氧化钛表面亲疏水性的调控

稀有金属 2016年第2期40卷 137-142页

作者：莫丽玢姚文清曹江利向青云李云双北京科技大学新材料技术研究院北京100083 清华大学化学系北京100084

Ti O2表面亲疏水性对其催化、分离等应用至关重要。研究了600℃氢气氛退火处理对Ti O2单晶表面亲疏水性的影响,并从表面结构和表面能两个方面探讨了其作用机制。润湿角随着氢分压的增加而增大。Raman光谱分析发现,氢化处理对Ti O2体内... 详细信息

Ti O2表面亲疏水性对其催化、分离等应用至关重要。研究了600℃氢气氛退火处理对Ti O2单晶表面亲疏水性的影响,并从表面结构和表面能两个方面探讨了其作用机制。润湿角随着氢分压的增加而增大。Raman光谱分析发现,氢化处理对Ti O2体内晶体结构和成键结构的影响并不明显。而原子力显微镜(AFM)测试结果显示Ti O2单晶的表面却发生了微结构的变化,粗糙度从原来的0.8增加至2.5 nm左右。同时X射线光电子能谱仪(XPS)分析发现氢化处理的Ti O2单晶表面的化学状态也发生了改变,部分Ti原子从+4价还原为+3价,随着氢化程度的增加,更多Ti原子的价态发生了上述转变。通过测量不同极性液体的润湿性发现氢化处理对Ti O2表面的极性有显著影响,氢化处理可以使极性大的液体在Ti O2表面的润湿角更小。通过氢化处理对Ti O2材料的表面进行化学修饰可以实现对其亲疏水性的调控。

关键词：二氧化钛亲疏水性氢表面改性润湿角

在线全文

学校读者我要写书评

暂无评论

无人船实时路径规划与编队控制仿真研究

系统仿真学报 2023年第5期35卷 957-970页

作者：宋大雷干文浩许嘤枝曲秀青曹江丽中国海洋大学工程学院山东青岛266100 中国海洋大学海洋高等研究院山东青岛266100 中国海洋大学信息科学与工程学部山东青岛266100 中国船舶重工集团公司第七〇九研究所湖北武汉430205

安全和无碰撞导航是无人船正常航行的基础。通过Unity3D构建高保真的虚拟海洋环境,在无人船建模基础上,提出一种面向未知复杂环境的实时路径规划及编队控制方法。利用激光雷达获取的局部环境信息,在重规划的策略下,结合A-star以及航路... 详细信息

安全和无碰撞导航是无人船正常航行的基础。通过Unity3D构建高保真的虚拟海洋环境,在无人船建模基础上,提出一种面向未知复杂环境的实时路径规划及编队控制方法。利用激光雷达获取的局部环境信息,在重规划的策略下,结合A-star以及航路抽稀方法完成实时局部路径规划。基于领航-跟随者策略与一致性方法进行编队控制,结合人工势场法完成多无人船的避障航行任务。在多种复杂地图上的仿真实验表明,该仿真系统具有较好的真实性和视觉效果,为无人船模拟试航提供了有效手段。同时,无人船群利用所提算法可以依次抵达预设航路点,自主变换队形实时避障,在工程应用中具有一定理论意义和实用性。

关键词：无人船运动仿真场景模拟路径规划编队控制