作者： Jia Yang，Minchuan Liang，Huayu Yang，Hui Ai，Tong Zhang，Qing Han，Ji Ma，Houbing Huang，Jing Wang （Advanced Research Institute of Multidisciplinary Science and School of Materials Science and Engineering，Beijing Institute of Technology，Beijing 100081，P. R. China； Analysis & Testing Center，Beijing Institute of Technology，Beijing 100081，P. R. China； School of Material Science and Engineering，Kunming University of Science and Technology，Kunming，Yunnan 650093，P. R. China）
出处： Journal of Advanced Dielectrics 2024 第14卷 第2期
关键词： Aurivillius oxides；Bi2WO6 thin films；domain structure；Boltzman distribution；post-annealing
作者： Jiuyang He，Yinyin Hou，Zixia Zhang，Junying Zhang，Xiyun Yan，Kelong Fan，Minmin Liang （Experimental Center of Advanced Materials, School of Materials Science & Engineering, Beijing Institute of Technology；CAS Engineering Laboratory for Nanozyme, Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences；Nanozyme Medical Center, School of Basic Medical Sciences, Zhengzhou University；University of Chinese Academy of Sciences）
出处： Nano Biomedicine and Engineering 2024 第1期
关键词： carbon nanozyme；enzyme-like activity；structure-activity relationship；rational design；biomedical applications
摘要： In the past decade, nanozymes - a unique class of nanomaterials with inherent enzyme-mimetic properties - have fascinated researchers, revealing unexp ...
作者： Ljubo Vlacic1,2;，Hailong Huang1,3;，Mariagrazia Dotoli1,4;，Yutong Wang1,5,6;，Petros A.Ioannou1,7;，Lili Fan8;，Xingxia Wang1,5,9,10;，Raffaele Carli1,4;，Chen Lv1,11;，Lingxi Li1,12;，Xiaoxiang Na1,13;，Qing-Long Han1,14;，Fei-Yue Wang1,15,9,16,17; （1IEEE；2the Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment, Griffith University；3the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University；4the Department of Electrical and Information Engineering, Polytechnic of Bari；5the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences；6the Qingdao Academy of Intelligent Industries；7the Department of Electrical Engineering-Systems, University of Southern California；8the School of Automation, Beijing Institute of Technology；9the School of Artificial Intelligence, University of Chinese Academy of Sciences；10the Beijing Huairou Academy of Parallel Sensing；11the School of Mechanical and Aerospace Engineering, Nanyang Technological University；12the Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis；13the Department of Engineering, University of Cambridge；14the School of Science, Computing and Engineering Technologies, Swinburne University of Technology；15the State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences；16the Dazhou Artificial Intelligence Institute；17the Faculty of Innovation Engineering, Macau University of Science and Technology）
出处： IEEE/CAA Journal of Automatica Sinica 2024 第11卷 第8期 P1723-1727
摘要： AUTOMATION has come a long way since the early days of mechanization, i.e., the process of working exclusively by hand or using animals to work with m ...
作者： Luhui Ning1,2;，Hongwei Zhu3;，Jihua Yang4;，Qun Zhang4;，Peng Liu4;，Ran Ni5;，Ning Zheng4; （1Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum-Beijing；2Basic Research Center for Energy Interdisciplinary, College of Science, China University of Petroleum-Beijing；3School of Physical Science and Technology, Key Laboratory of Magnetism and Magnetic Materials for Higher Education in lnner Mongolia Autonomous Region, Baotou Teachers\' College；4School of Physics, Beijing Institute of Technology；5School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University）
出处： National Science Open 2024 第3卷 第4期 P106-141
摘要： Artificial active matters on a macroscopic scale, including vibrating particles, robots, and camphor boats, have attracted increasing attentions due t ...
作者： Xiangyu Guo，Jingjing Zhao，Liqun Sun，Varun Gupta，Lin Du，Komal Sharma，Aidan Vleck，Kaitlyn Liang，Liangcai Cao，Lingjie Kong，Yuanmu Yang，Yong Huang，Adam Zerda，Guofan Jin （State Key Laboratory of Precision Measurement Technology and Instruments，Department of Precision Instrument，Tsinghua University，Beijing 100084，China； Department of Structural Biology，Stanford University School of Medicine，Stanford University，Stanford，CA 94305，USA； Department of Neurosurgery，Stanford University School of Medicine，Stanford University，Stanford，CA 94305，USA； Department of Radiology，Stanford University School of Medicine，Stanford University，Stanford，CA 94305，USA； Department of Electrical Engineering and Computer Sciences，University of California，Berkeley 94720，USA； School of Optics and Photonics，Beijing Institute of Technology，No. 5 South Zhongguancun Street，Haidian，Beijing 100081，China； Biophysics Program，Molecular Imaging Program，and Bio-X Program at Stanford University，Stanford，CA 94305，USA； Chan Zuckerberg Biohub，San Francisco，CA 94110，USA； Institute of Medical Equipment Science and Engineering，Huazhong University of Science and Technology，Wuhan 430074，China）
出处： PhotoniX 2024 第5卷 第1期 P7
作者： Yanan Liu，Ye Ding，Zeping Liu，Xingchen Li，Sichao Tian，Lishuang Fan，Jichang Xie，Liangliang Xu，Jinwoo Lee，Jian Li，Lijun Yang （Zhengzhou Research Institute，Harbin Institute of Technology，Zhengzhou 450000，P. R. China； Suzhou Research Institute，Harbin Institute of Technology，Suzhou 215104，P. R. China； School of Chemistry and Chemical Engineering，Harbin Institute of Technology，Harbin 150001，P. R. China； Defense Innovation Institute，Chinese Academy of Military Science，Beijing 100071，P. R. China； Institute of Medicinal Plant Development，Chinese Academy of Medical Sciences and Peking Union Medical College，Beijing 100193，P. R. China； Laboratoire Roberval，UTC，Sorbonne Universités，Université de Technologie de Compiègne，Centre de recherche Royallieu，CS60319，60203 Compiègne Cedex，France； Department of Chemical and Biomolecular Engineering，Korea Advanced Institute of Science and Technology (KAIST)，Daejeon 34141，Republic of Korea； School of Mechanical Engineering，Beijing Institute of Technology，Beijing 100081，P. R. China）
出处： PhotoniX 2024 第5卷 第1期 P6
作者： 李明锴，徐其志 （北京理工大学机电学院）
出处： 遥感学报 2024 第28卷 第7期 P1746-1759
关键词： 遥感图像；深度学习；分级监督；超分辨率；多尺度特征提取；渐进式网络；参数共享；迁移学习
摘要： 超分辨率技术可提升遥感图像空间分辨率，为基于遥感图像的目标检测、场景分类等任务提供更加清晰的数据集，具有广泛的应用价值。然而，现有基于深度学习的超分辨率方法存在监督次数不足的问题，导致超分辨率重建图像中易出现细节损失和伪细节。针对这一问题，本文提出基于分级监督的遥感图像超分辨率方法（MSSR）。首先 ...
作者： 王喆，尹平，庞思平 （北京理工大学材料学院）
出处： 含能材料 2024 第32卷 第6期 P623-630
关键词： 富氮含能化合物；偶氮桥联；四唑；稠环；稳定性
摘要： 以多氨基稠环化合物6,7-二氨基-3亚氨基-[1,2,4]三唑并[1,2,4]三唑连四唑（TATOT-T）为原料，经过高锰酸钾氧化偶联和高氯酸成盐等步骤，合成了一种偶氮桥联的富氮多环含能化合物2,2′-二四唑基-3,6-二氨基-7,7′-偶氮基-[1,2,4]三唑并[1,2,4]三唑高氯酸盐（2）。 ...
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