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CVD关键工艺参数对(Ni,Pt)Al涂层高温防护性能影响

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真空 2024年第3期61卷 63-69页

作者：刘玉琢王鑫李娜甄真许振华中国航发北京航空材料研究院航空材料先进腐蚀与防护航空科技重点实验室北京100095

采用化学气相沉积(CVD)工艺,在不同沉积温度和沉积真空度下分别在镍基单晶合金上制备了三种(Ni,Pt)Al涂层,研究了CVD关键工艺参数对(Ni,Pt)Al涂层高温防护性能的影响。借助X射线衍射仪(XRD)、扫描电子显微镜(SEM)和能谱仪(EDS)等表征方... 详细信息

采用化学气相沉积(CVD)工艺,在不同沉积温度和沉积真空度下分别在镍基单晶合金上制备了三种(Ni,Pt)Al涂层,研究了CVD关键工艺参数对(Ni,Pt)Al涂层高温防护性能的影响。借助X射线衍射仪(XRD)、扫描电子显微镜(SEM)和能谱仪(EDS)等表征方法系统分析了三种(Ni,Pt)Al涂层的相结构、显微组织和化学成分。结果表明:在同一沉积真空度下随着沉积温度升高,涂层衍射峰向大角度方向偏移;在同一沉积温度下随着沉积压力变大,涂层衍射峰向小角度方向偏移;随着沉积温度和沉积压力的同时提升,涂层表面的晶粒尺度呈现增大趋势,涂层厚度也随之增加;经1100℃/250 h静态氧化和900℃/100 h燃气热腐蚀性能评价后,沉积温度为1080℃且沉积真空度为300 mbar的涂层样品,其氧化动力学增重值均小于其他两种涂层样品,该工艺制备的涂层高温防护性能最佳。控制涂层表面局部位置氧化膜内显微裂纹的过早萌生与滋长行为,以及降低燃气热腐蚀诱发的非稳态氧化膜脱落残留的凹坑数量是改善(Ni,Pt)Al涂层高温抗氧化腐蚀性能的CVD工艺优化方向。

关键词：化学气相沉积 (Ni,Pt)Al涂层沉积温度沉积真空度防护性能

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表达绿色荧光蛋白的坦布苏病毒的构建与鉴定

动物医学进展 2024年第6期45卷 44-50页

作者：章丽娇田宇杰张兰香赵冬敏韩凯凯黄欣梅杨婧吴凤瑶刘青涛刘宇卓张小飞李银江苏省农业科学院兽医研究所江苏南京210014 兽用生物制品(泰州)国泰技术创新中心江苏泰州225300 贵州省农业科学院畜牧兽医研究所贵州贵阳550005 山东省日照市五莲县动物疫病预防控制中心山东五莲262300

报告病毒在高通量抗病毒药物筛选、活体动物体内成像及新型疫苗研发等方面具有重要应用价值。通过反向遗传操作技术,以坦布苏病毒JXSP株感染性克隆为基础,采用两种策略构建报告病毒,即分别在病毒基因组5′UTR和C蛋白基因、N S5基因和3′... 详细信息

报告病毒在高通量抗病毒药物筛选、活体动物体内成像及新型疫苗研发等方面具有重要应用价值。通过反向遗传操作技术,以坦布苏病毒JXSP株感染性克隆为基础,采用两种策略构建报告病毒,即分别在病毒基因组5′UTR和C蛋白基因、N S5基因和3′UTR间引入外源基因EGFP,通过融合PCR获得全长cDNA PCR产物,体外转录生成mRNA,转染至BHK-21拯救重组病毒并研究其生长特性。结果显示,利用5′UTR-C位点构建的报告病毒mRNA转染BHK-21细胞后能观察到明显的绿色荧光;报告病毒P0接种DEF细胞后可高强度表达绿色荧光蛋白,在BHK-21和DEF细胞上增殖速度略微低于亲本毒株,但差异不显著。结果表明,成功构建了1株坦布苏绿色荧光报告病毒rJXSP-5′EGFP,在BHK-21和DEF细胞上均能有效增殖。

关键词：坦布苏病毒绿色荧光蛋白报告病毒

Embracing the age of artificial intelligence:paradigm shifts,opportunities,and challenges in the treatment of acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation

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Science China(Life Sciences) 2024年第6期67卷 1302-1304页

作者： zhuo-yu An Xiao-Hui Zhang Peking University People’s Hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation Center of Hematology Peking UniversityBeijing 100044China Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing 100044China National Clinical Research Center for Hematologic Disease Beijing 100044China

Allogeneic hematopoietic stem cell transplantation(allo-HSCT)is an important medical development in treating hematological ***,the risk of acute graft-versus-host disease(a GVHD)severely limits its use.a GVHD is a sev... 详细信息

关键词： hematopoietic graft artificial

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High-performance Si/VO_(2)-nanorod heterojunction photodetector based on photothermoelectric effect for detecting human radiation

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Rare Metals 2024年第3期43卷 1177-1185页

作者： Fu-Hai Guo Lan-Zhong Hao Wei-zhuo yu Si-Qi Li Guan-Chu liu Jing-Yi Hao yun-Jie liu College of Science China University of PetroleumQingdao266580China School of Materials Science and Engineering China University of PetroleumQingdao266580China

As a typical candidate of optoelectronic materials,vanadium dioxide(VO_(2))has wide applications in photodetectors(PDs),but is still challenging in largely enhancing the photodetecting performance for low-power human ***,high-performance Si/VO_(2)nanorods(NRs)heterojunction PDs based on the photothermoelectric(PTE)effect are *** uniform VO_(2)-NRs array films were deposited on Si by using magnetron sputtering technique,and a Si/VO_(2)heterojunctions were *** device exhibits a four-stage photoresponse and broadband photoresponse from ultraviolet to long-wavelength *** from the unique nanorods structure and the strong PTE effect,the fabricated device exhibits a large enhancement of the photodetecting performance,showing an ultrahigh photodetectivity of 1.6×10^(13)Jones and ultrafast response rates with a risingedge time of~65.0μs,three orders of magnitude higher than other VO_(2)-based ***,the device exhibits unique abilities to detect human radiation even when the human fingers are far away from the device surface up to 10.0 ***,the fabricated Si/VO_(2)devices can also be applied as breath sensors to distinguish different breathing *** results supply an effective route to design high-performance photodetectors toward detecting human thermal radiation and respiration.

关键词： Vanadium dioxide Heterojunction Photodetector Photothermoelectric Human radiation and respiration sensing

Mitigate noisy data for smart IoT via GAN based machine unlearning

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Science China(Information Sciences) 2024年第3期67卷 62-78页

作者： zhuo MA Yilong YANG Yang liu Xinjing liu Jianfeng MA School of Cyber Engineering Xidian University State Key Laboratory of Integrated Services Networks (ISN)

With the development of IoT applications, machine learning dramatically improves the utility of variable IoT systems such as autonomous driving. Although the pretrain-finetune framework can cope well with data heterogeneity in complex IoT scenarios, the data collected by sensors often contain unexpected noisy data, e.g., out-of-distribution(OOD) data, which leads to the reduced performance of fine-tuned models. To resolve the problem, this paper proposes Mu GAN, a method that can mitigate the side-effect of OOD data via the generative adversarial network(GAN)-based machine unlearning. Mu GAN follows a straightforward but effective idea to mitigate the performance loss caused by OOD data, i.e., “flashbacking” the model to the condition where OOD data are excluded from model training. To achieve the goal, we design an adversarial game, where a discriminator is trained to identify whether a sample belongs to the training set by observing the confidence score. Meanwhile, a generator(i.e., the target model) is updated to fool the discriminator into believing that the OOD data are not included in the training set but others do. The experimental results show that benefiting from the high unlearning rate(more than 90%) and retention rate(99%), Mu GAN succeeds in lowering the model performance degradation caused by OOD data from 5.88% to 0.8%.

关键词： machine unlearning generative adversarial network out of distribution data Internet of Thing neural network

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Recent advances in the microfluidic generation of shape-controllable hydrogel microparticles and their applications

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Green Chemical Engineering 2024年第1期5卷 16-30页

作者： Yingzhe liu zhuo Chen Jianhong Xu The State Key Lab of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China

Hydrogel microparticles,generally accepted as significant green materials,have been widely used in chemical,biological,and biomedical fields owing to their excellent biocompatibility,biodegradability,and *** these,non-spherical hydrogel microparticles with diverse shape anisotropy have great potential in applications such as drug delivery,cellular interaction,micromotors,*** from their shapes,their functionalities in such fields cannot be satisfied by the typical spherical ***,microfluidics with precise control and domination of fluids at microflow sizes has emerged as a powerful method for synthesizing shape-controllable hydrogel microparticles with good monodispersity and unique *** this review,we tried to provide an overview of the production of non-spherical microparticles composed of green hydrogel materials,emphasizing the microfluidic ***,a brief introduction to their current applications is also presented.

关键词： Microfluidics Hydrogel Microparticles Non-spherical Anisotropic Green materials

NbN quantum dots anchored hollow carbon nanorods as efficient polysulfide immobilizer and lithium stabilizer for Li-S full batteries

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Journal of Energy Chemistry 2024年第1期88卷 260-271,I0007页

作者： Fei Ma zhuo Chen Katam Srinivas Ziheng Zhang yu Wu Dawei liu Hesheng yu yue Wang Xinsheng Li Ming-qiang Zhu Qi Wu yuanfu Chen School of Integrated Circuit Science and Engineering and State Key Laboratory of Electronic Thin Films and Integrated DevicesUniversity of Electronic Science and TechnologyChengdu 610054SichuanChina College of Science and Institute of Oxygen Supply Center of Tibetan Studies(Everest Research Institute)Tibet UniversityLhasa 850000TibetChina College of Mechanical and Electronic Engineering Northwest A&F UniversityXianyang 712100ShaanxiChina

The shuttle effect of lithium polysulfides(LiPSs)and uncontrollable lithium dendrite growth seriously hinder the practical application of lithium-sulfur(Li-S)*** simultaneously address such issues,monodispersed Nb N quantum dots anchored on nitrogen-doped hollow carbon nanorods(NbN@NHCR)are elaborately developed as efficient Li PSs immobilizer and Li stabilizer for high-performance Li-S full *** functional theory(DFT)calculations and experimental characterizations demonstrate that the sulfiphilic and lithiophilic NbN@NHCR hybrid can not only efficiently immobilize the soluble Li PSs and facilitate diffusion-conversion kinetics for alleviating the shuttling effect,but also homogenize the distribution of Li+ions and regulate uniform Li deposition for suppressing Li-dendrite *** a result,the assembled Li-S full batteries(NbN@NHCR-S||Nb N@NHCR-Li)deliver excellent long-term cycling stability with a low decay rate of 0.031%per cycle over 1000 cycles at high rate of 2 *** at a high S loading of 5.8 mg cm^(-2)and a low electrolyte/sulfur ratio of 5.2μL mg^(-1),a large areal capacity of 6.2 mA h cm^(-2)can be achieved in Li-S pouch cell at 0.1 *** study provides a new perspective via designing a dual-functional sulfiphilic and lithiophilic hybrid to address serious issues of the shuttle effect of S cathode and dendrite growth of Li anode.

关键词： Dual-functional host NbN quantum dots Shuttle effect Dendrite-free Li anode Li-S full batteries

Investigating the elliptic anisotropy of identified particles in p-Pb collisions with a multi-phase transport model

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Nuclear Science and Techniques 2024年第2期35卷 160-169页

作者： Si-yu Tang Liang Zheng Xiao-Ming Zhang Ren-zhuo Wan School of Mathematical and Physical Sciences Wuhan Textile UniversityWuhan 430200China School of Mathematics and Physics China University of Geosciences(Wuhan)Wuhan 430074China Key Laboratory of Quark and Lepton Physics(MOE)and Institute of Particle Physics Central China Normal UniversityWuhan 430079China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile UniversityWuhan 430200China School of Electronic and Electrical Engineering Wuhan Textile UniversityWuhan 430200China

The elliptic azimuthal anisotropy coefficient(v_(2))of the identified particles at midrapidity(|η|<0.8)was investigated in p-Pb collisions at√s_(NN)=5.02 TeV using a multi-phase transport model(AMPT).The calculations of differential v_(2)based on the advanced flow extraction method of light flavor hadrons(pions,kaons,protons,andΛ)in small collision systems were extended to a wider transverse momentum(p_(T))range of up to 8 GeV/c for the first *** string-melting version of the AMPT model provides a good description of the measured p_(T)-differential v_(2)of the mesons but exhibits a slight deviation from the baryon v_(2).In addition,we observed the features of mass ordering at low p_(T)and the approximate number-of-constituentquark(NCQ)scaling at intermediate p_(T).Moreover,we demonstrate that hadronic rescattering does not have a significant impact on v_(2)in p-Pb collisions for different centrality selections,whereas partonic scattering dominates in generating the elliptic anisotropy of the final *** study provides further insight into the origin of collective-like behavior in small collision systems and has referential value for future measurements of azimuthal anisotropy.

关键词： Azimuthal anisotropy Small collision systems Transport model

Prediction on Failure Pressure of Pipeline Containing Corrosion Defects Based on ISSA-BPNNModel

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Energy Engineering 2024年第3期121卷 821-834页

作者： Qi Zhuang Dong liu zhuo Chen PetroChina Changqing Oilfield Company The Second Gas Production PlantXi’an710000China PetroChina Changqing Oilfield Company Safety and Environmental Supervision Department Co.Ltd.Xi’an710000China Sinopec Northwest Oilfield Company The Second Oil Production Plant Co.Ltd.Urumqi830016China

Oil and gas pipelines are affected by many factors,such as pipe wall thinning and pipeline *** prediction of failure pressure of oil and gas pipelines can provide technical support for pipeline safety *** at the shortcomings of the BP Neural Network(BPNN)model,such as low learning efficiency,sensitivity to initial weights,and easy falling into a local optimal state,an Improved Sparrow Search Algorithm(ISSA)is adopted to optimize the initial weights and thresholds of BPNN,and an ISSA-BPNN failure pressure prediction model for corroded pipelines is *** 61 sets of pipelines blasting test data as an example,the prediction model was built and predicted by MATLAB software,and compared with the BPNN model,GA-BPNN model,and SSA-BPNN *** results show that the MAPE of the ISSA-BPNN model is 3.4177%,and the R2 is 0.9880,both of which are superior to its comparison *** the ISSA-BPNN model has high prediction accuracy and stability,and can provide support for pipeline inspection and maintenance.

关键词： Oil and gas pipeline corrosion defect failure pressure prediction sparrow search algorithm BP neural network logistic chaotic map