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Highly efficient 1D p-Te/2D n-Bi_(2)Te_(3) heterojunction self-driven broadband photodetector

Nano Research 2024年第3期17卷 1864-1874页

作者： Chenchen Zhao dongbo Wang Jiamu Cao Zhi Zeng Bingke zhang Jingwen Pan Donghao Liu Sihang Liu Shujie Jiao Tianyuan Chen Gang Liu Xuan Fang Liancheng Zhao Jinzhong Wang School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of Astronautics Harbin Institute of TechnologyHarbin 150001China Center for High Pressure Science and Technology Advanced Research Shanghai 201203China State Key Laboratory of High Power Semiconductor Lasers Changchun University of Science and TechnologyChangchun 130022China

Broadband photodetectors with self-driven functions have attracted intensive scientific interest due to their low energy consumption and high optical gain.However,high-performance broadband self-driven photodetectors are still a significant challenge due to the complex fabrication processes,environmental toxicity,high production costs of traditional 3D semiconductor materials and sharply raised contact resistance,severe interfacial recombination of 2D materials and 2D/3D mixed dimension heterojunction.Here,1D p-Te/2D n-Bi_(2)Te_(3) heterojunctions are constructed by the simple and low-cost hydrothermal method.1D p-Te/2D n-Bi_(2)Te_(3) devices are applied in photoelectrochemical(PEC)photodetectors,with their high performance attributed to the good interfacial contacts reducing interface recombination.The device demonstrated a broad wavelength range(365–850 nm)with an Iph/Idark as high as 377.45.The R_(i),D^(*),and external quantum efficiency(EQE)values of the device were as high as 12.07 mA/W,5.87×10^(10) Jones,and 41.05%,respectively,which were significantly better than the performance of the prepared Bi_(2)Te_(3) and Te devices.A comparison of the freshly fabricated device and the device after 30 days showed that 1D p-Te/2D n-Bi_(2)Te_(3) had excellent stability with only 18.08%decay of photocurrent.It is anticipated that this work will provide new emerging material for future design and preparation of a high-performance self-driven broadband photodetector.

关键词： topological insulating states interfacial recombination self-driven 1D p-Te/2D n-Bi_(2)Te_(3) photodetector

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Novel silver nanoparticles loaded Cu-based metal organic framework as a promising antimicrobial material for controlling Escherichia coli O157:H7 in pork

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Food Science and Human Wellness 2024年

作者： dongbo Yang Jing Yi Xiaoya Li Shuqi zhang Yiming Xiang Xingxing Liu Zhongguo Shan Haihua Wang College of Food Science and Engineering Northwest A&F University

The risk of infection following consumption of foodborne pathogens contaminated foods became a significant concern for human health and imposes great economic losses to food industry. Herein， Ag nanoparticles were integrated to Cu-based metal–organic framework (Cu-MOF) for antibacterial activity. The crystal structure， morphology and composition of the prepared composite Ag@Cu-MOF were confirmed by XRD， TG， SEM， TEM， FTIR and XPS analysis. Antibacterial assays revealed that Ag@Cu-MOF exhibited increased inhibitory activity against Escherichia coli O157:H7 in comparison to Cu-MOF. Ag@Cu-MOF treated bacterial cells displayed distinct morphological changes， a decreased ratio of Live/Dead cells， as well as a reduction of intracellular adenosine 5’-triphosphate (ATP). Antibiofilm studies demonstrated that Ag@Cu-MOF could dramatically inhibit biofilm formation and disrupt preformed biofilms by interfering the metabolic activity and decreasing the expression of biofilm-associated genes. Food contamination model illustrated that Ag@Cu-MOF significantly prevented the growth of E. coli O157:H7 in packed pork. This study sheds light on the potential of Ag@Cu-MOF as a promising antimicrobial material for preserving pork.

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Machine‐learning radiomics to predict bone marrow metastasis of neuroblastoma using magnetic resonance imaging

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Cancer Innovation 2023年第5期2卷 405-415页

作者： Lin Lv Zhengtao zhang dongbo zhang Qinchang Chen Yuanfang Liu Ya Qiu Wen Fu Xuntao Yin Xiong Chen Department of Urology Surgery SunYat‐Sen Memorial HospitalGuangzhouGuangdongChina Sun Yat‐Sen University of Medical School GuangzhouGuangdongChina Guangzhou Women and Children's Medical Center GuangzhouGuangdongChina Breast Tumor Center Sun Yat‐Sen Memorial HospitalGuangzhouGuangdongChina Guangdong Provincial People's Hospital GuangzhouGuangdongChina Department of Radiology Sun Yat‐Sen Memorial HospitalGuangzhouGuangdongChina Department of Radiology Guangzhou Women and Children's Medical CenterGuangzhouGuangdongChina

Background: Neuroblastoma is one common pediatric malignancy notorious forhigh temporal and spatial heterogeneities. More than half of its patients developdistant metastases involving vascularized organs, especially the bone marrow. It isthus necessary to have an economical, noninvasive method without muchradiation for follow‐ups. Radiomics has been used in many cancers to assistaccurate diagnosis but not yet in bone marrow metastasis in neuroblastoma.Methods: A total of 182 patients with neuroblastoma were retrospectivelycollected and randomly divided into the training and validation sets. Fivehundredand seventy‐two radiomics features were extracted from magneticresonance imaging, among which 41 significant ones were selected via T‐testfor model development. We attempted 13 machine‐learning algorithms andeventually chose three best‐performed models. The integrative performanceevaluations are based on the area under the curves (AUCs), calibration curves,risk deciles plots, and other indexes.Results: Extreme gradient boosting, random forest (RF), and adaptiveboosting were the top three to predict bone marrow metastases in neuroblastoma while RF was the most accurate one. Its AUC was 0.90(0.86–0.93), F1 score was 0.82, sensitivity was 0.76, and negative predictivevalue was 0.79 in the training set. The values were 0.82 (0.71–0.93), 0.80,0.75, and 0.92 in the validation set, respectively.Conclusions: Radiomics models are likely to contribute more to metastaticdiagnoses and the formulation of personalized healthcare strategies in clinics.It has great potential of being a revolutionary method to replace traditionalinterventions in the future.

关键词： bone marrow metastasis machine learning magnetic resonance imaging neuroblastoma radiomics

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Integration of energy recovery network including recycling residual pressure energy with pinch technology

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Chinese Journal of Chemical Engineering 2017年第4期25卷 453-462页

作者： Jianqiang Deng Zheng Cao dongbo zhang Xiao Feng School of Chemical Engineering and Technology Xi'an Jiaotong University Shaanxi Coal and Chemical Technology Institute Co. Ltd

Work exchange is a promising innovative technology in recovering residual pressure energy. However, at the systematic level, the comprehensive utilization of different energy resources in an energy system has become an issue of concern. In this work, a systematic approach is proposed, one that successively integrates heat, work and adjusts operation parameters. A detailed procedure for building a heat-work coupling transfer network is provided. The synthesis mainly consists of constructing a work exchange sub-network with pinch analysis based on positive displacement type work exchangers. Simultaneously, another kind of sub-network based on turbine-type work exchangers is built as a schematic comparison. The influence of applying a positive displacement work exchanger on the system is investigated. Finally, as a case study, a renovation design of a typical rectisol process in the coal-water slurry gasification section of an ammonia plant is presented. The results show that the added work exchanger has little impact on the existing heat exchange sub-network. Moreover,extra pressure energy is recovered by coupling the transfer network. It is concluded that the heat-work systematic design is a promising and powerful method to use energy more efficiently.

关键词： Integration Process systems Heat exchanger network Work exchange network Pinch technology Optimization

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A new ensemble feature selection and its application to pattern classification

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控制理论与应用（英文版） 2009年第4期7卷 419-426页

作者： dongbo zhang Yaonan WANG Institute of Information Engineering Xiangtan University Xiangtan Hunan 411105 China College of Electrical and Information Engineering Hunan University Changsha Hunan 410082 China

Neural network ensemble based on rough sets reduct is proposed to decrease the computational complexity of conventional ensemble feature selection algorithm. First, a dynamic reduction technology combining genetic algorithm with resampling method is adopted to obtain reducts with good generalization ability. Second, Multiple BP neural networks based on different reducts are built as base classifiers. According to the idea of selective ensemble, the neural network ensemble with best generalization ability can be found by search strategies. Finally, classification based on neural network ensemble is implemented by combining the predictions of component networks with voting. The method has been verified in the experiment of remote sensing image and five UCI datasets classification. Compared with conventional ensemble feature selection algorithms, it costs less time and lower computing complexity, and the classification accuracy is satisfactory.

关键词： Rough sets reduction Ensemble feature selection Neural network ensemble Remote sensing image classification

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西安湿陷性黄土地区狭长深基坑变形分析

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重庆交通大学学报（自然科学版） 2024年第7期43卷 17-25页

作者：梅源张苗苗周东波张焱西安建筑科技大学土木工程学院陕西西安710055 陕西省岩土与地下空间工程重点实验室陕西西安710055

为了探究西安地铁车站深基坑开挖过程中桩体侧移、地表沉降等时空演变规律,以西安地区某地铁车站深基坑为工程背景,同时收集了该地区2#、3#、4#线20个狭长基坑的实测数据,并对其进行统计分析。结果表明:地铁基坑围护结构最大侧移δhm=0.... 详细信息

为了探究西安地铁车站深基坑开挖过程中桩体侧移、地表沉降等时空演变规律,以西安地区某地铁车站深基坑为工程背景,同时收集了该地区2#、3#、4#线20个狭长基坑的实测数据,并对其进行统计分析。结果表明:地铁基坑围护结构最大侧移δhm=0.04%H~0.10%H(H为开挖深度),平均值为0.06%H,最大侧移位置深度为0.7H;地表最大沉降值δvm=0.036%H~0.116%H,主要影响区在1.4H范围以内;高斯函数模型可以预测西安地区的地表沉降,其影响范围为3.5H;在特定范围内,提高支护桩的刚度和插入比可以有效控制基坑变形。研究结果可为西安市其他地铁车站基坑支护结构的设计与施工提供借鉴。

关键词：岩土工程铁道工程地铁车站深基坑桩体变形基坑变形沉降预测统计分析

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基于改进SECOND算法的点云三维目标检测

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激光与光电子学进展 2024年第8期61卷 126-135页

作者：张莹蒋亮亮张东波段万林孙月湘潭大学自动化与电子信息学院湖南湘潭411105

快速识别和精准定位周围目标是自动驾驶车辆安全、自主行驶的前提和基础。针对基于体素的点云三维目标检测方法识别与定位不准的问题,提出一种基于改进SECOND算法的点云三维目标检测算法。首先,在二维卷积骨干网络中引入自适应的空间特... 详细信息

快速识别和精准定位周围目标是自动驾驶车辆安全、自主行驶的前提和基础。针对基于体素的点云三维目标检测方法识别与定位不准的问题,提出一种基于改进SECOND算法的点云三维目标检测算法。首先,在二维卷积骨干网络中引入自适应的空间特征融合模块融合不同尺度的空间特征,提高模型的特征表达能力。其次,充分利用边界框参数之间的关联性,采用three-dimensional distance-intersection over union (3D DIoU)损失作为边界框的定位回归损失函数,使得回归任务更加高效。最后,同时考虑候选框的分类置信度和定位精度,通过一个新的候选框质量评价标准,获得更平滑的回归结果。在KITTI测试集的实验结果表明,所提算法的3D检测精度优于许多以往的算法,与基准算法SECOND相比,在简单难度下的car类和cyclist类分别提高2.86百分点和3.84百分点,中等难度下分别提高2.99百分点和3.89百分点,困难难度下分别提高7.06百分点和4.27个百分点。

关键词：自动驾驶三维目标检测特征融合损失函数

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考虑多维非线性扰动的电子助力制动系统自适应压力控制

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汽车工程 2024年第6期46卷 1096-1103,1113页

作者：朱冰唐衍鹏张东波赵健陈志成吉林大学汽车底盘集成与仿生全国重点实验室长春130000 中国第一汽车集团有限公司长春130000

针对电子助力制动系统(EBBS)面临的机-电-液多维非线性扰动问题,提出了一种自适应压力控制策略。外层液压控制器引入自适应径向基函数神经网络和鲁棒滑模理论克服液压时变不确定性,中间层位置控制器采用Karnopp摩擦前馈补偿和滑模控制... 详细信息

针对电子助力制动系统(EBBS)面临的机-电-液多维非线性扰动问题,提出了一种自适应压力控制策略。外层液压控制器引入自适应径向基函数神经网络和鲁棒滑模理论克服液压时变不确定性,中间层位置控制器采用Karnopp摩擦前馈补偿和滑模控制应对传动机构非线性摩擦阻碍,内层电流控制器通过李雅普诺夫理论解决电机电磁特性耦合问题。仿真和硬件在环试验结果表明,设计的压力控制策略能够在多种工况中将EBBS主动制动稳态压力跟随误差维持在0.15MPa之内。

关键词：车辆工程电子助力制动系统多维非线性扰动自适应压力控制硬件在环

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Tunable oxygen defect density and location for enhancement of energy storage

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Journal of Energy Chemistry 2021年第8期30卷 736-747,I0015页

作者： Jun Chen Jiangao Li Ling Sun Zhong Lin Zhengguang Hu Hongtao zhang Xiaoling Wu dongbo zhang Guoan Cheng Ruiting Zheng Key Laboratory of Radiation Beam Technology and Materials Modification of the Ministry of Education College of Nuclear Science and TechnologyBeijing Normal University100875 BeijingChina Department of Physics Nanchang UniversityNanchang 330031China Department of Materials Loughborough UniversityLE113TU LeicestershireUK Beijing Computational Science Research Center 100193 BeijingChina

Defect engineering is in the limelight for the fabrication of electrochemical energy storage devices.However,determining the influence of the defect density and location on the electrochemical behavior remains challenging.Herein,self-organized TiO_(2)nanotube arrays(TNTAs)are synthesized by anodization,and their oxygen defect location and density are tuned by a controllable post-annealing process.TNTAs annealed at 600℃ in N2 exhibit the highest capacity(289.2 m Ah g^(-1)at 0.8 C)for lithium-ion storage,while those annealed at 900℃ in N2 show a specific capacitance of 35.6 m F cm^(-2)and stability above96%after 10,000 cycles for supercapacitor.Ex situ electron paramagnetic resonance spectra show that the surface-exposed oxygen defects increase,but the bulk embedded oxygen defects decrease with increasing annealing temperature.Density functional theory simulations reveal that a higher density of bulk oxygen defects corresponds to higher localized electrons states,which upshift the Fermi level and facilitate the lithium intercalation kinetic process.Meanwhile,differential charge density calculation indicates that the increase of surface oxygen defects in the anatase(101)plane leads to higher density excess electrons,which act as negative charge centers to enhance the surface potential for ion adsorption.This oxygen-deficient location and density tunable strategy introduce new opportunities for high-energy and high-power-density energy storage systems.

关键词： Oxygen defects Excess electrons Supercapacitors Lithium-ion batteries DFT calculations

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追溯科学融合的历史轨迹:AIGC赋能交叉科学测度研究

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图书情报工作 2024年第7期68卷 137-150页

作者：刘江峰张冉王东波裴雷南京大学数据智能与交叉创新实验室南京210023 南京大学信息管理学院南京210023 南京农业大学信息管理学院南京210095 南京农业大学人文与社会计算研究中心南京210095

[目的/意义]生成式大语言模型改变自然语言处理研究的范式,推动人工智能赋能社会科学研究的新潮流,为从文本深层语义特征角度量化计算人文社会科学学科的交叉与融合提供新思路。[方法/过程]使用ChatGPT模型对人文社会科学学术文献进行... 详细信息

[目的/意义]生成式大语言模型改变自然语言处理研究的范式,推动人工智能赋能社会科学研究的新潮流,为从文本深层语义特征角度量化计算人文社会科学学科的交叉与融合提供新思路。[方法/过程]使用ChatGPT模型对人文社会科学学术文献进行学科判别,基于小样本学习识别模型预测结果中的学科名知识实体,从期刊知识分散分布视角衡量多学科候选分类问题,将判别结果与文献所属期刊对应学科作比较分析,提出跨学科丰富度、跨学科密切度、主体度等指标结合跨学科度的跨学科性量化研究。[结果/结论]围绕AIGC赋能交叉科学测度研究,从学科归属问题的判断、生成式模型答案集中学科名的抽取、多学科候选问题的赋权、交叉科学内容性度量指标等几方面提出一套研究框架方法,实现从内容角度充分利用AIGC赋能社会科学研究,为进一步探索各社会科学研究的内在逻辑提供借鉴和参考。

关键词： ChatGPT 大语言模型交叉科学测度布拉德福定律人文社会科学时间序列预测分析

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