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Recent progress in metal-organic frameworks(Part II—material application)

Science China Chemistry 2025年

作者： Jiandong Pang Wentao Jiang Xue-Wen zhang Hao-Long Zhou Yuxiu Sun Wei Gong Bin Wang Fuyin Ma Linwei He Long Chen Qiang Chen He-Qi Zheng Yuanjing Cui Wen-Jie Shi Chao zhang Mei Wang Yue-Biao zhang Jie-peng zhang Chongli Zhong Yong Cui Shuao Wang Jian-Rong Li Guodong Qian Tong-Bu Lu Huan Pang Xian-He Bu Institute for New Energy Materials and Low Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology School of Chemistry and Chemical Engineering Yangzhou University School of Materials Science and Engineering Nankai University School of Physical Science and Technology ShanghaiTech University MOE Key Laboratory of Bioinorganic and Synthetic Chemistry GBRCE for Functional Molecular Engineering School of Chemistry IGCMESun Yat-sen University Department of Chemistry Shantou University School of Chemical Engineering and Technology Tiangong University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences Soochow University College of Materials Science & Engineering Beijing University of Technology State Key Laboratory of Silicon and Advanced Semiconductor Materials Cyrus Tang Center for Sensor Materials and ApplicationsSchool of Materials Science & Engineering Zhejiang University

As a class of functional crystalline porous materials, metal-organic frameworks(MOFs) gained rapid development in the past three decades and a large number of MOFs with ordered structures, high surface areas, and functionalized channels have been investigated. MOFs and MOF-derived/composite materials show great potential in many application fields. In this review, we discussed the main applications of MOFs and MOF-derived/composite materials in small molecule storage, separation, luminescence, sensing, multitype catalysis, and energy storage. In addition, challenges and problems in the future research of MOFsrelated fields are also discussed.

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外柔内刚,鲠直持正,秉持气节——明清江南士大夫人文精神的一个面相

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史学集刊 2025年第1期 52-62页

作者：范金民张彭欣南京大学历史学院江苏南京210023

人们心目中的江南士大夫形象,无论峨冠博带的饱学之士,擅长鸿篇巨制的文学侍从之臣,还是娴熟典故参赞朝政的藻饰能手,能言善辩的博雅君子,似乎儒雅有之而缺乏胆气,温婉有之而少阳刚之气,小心谨慎有余而开拓进取殊少,驰骋疆场斩将搴旗者... 详细信息

人们心目中的江南士大夫形象,无论峨冠博带的饱学之士,擅长鸿篇巨制的文学侍从之臣,还是娴熟典故参赞朝政的藻饰能手,能言善辩的博雅君子,似乎儒雅有之而缺乏胆气,温婉有之而少阳刚之气,小心谨慎有余而开拓进取殊少,驰骋疆场斩将搴旗者更加罕见。这其实只是江南士大夫治国理政、行为出入的一个面相,远非江南士大夫人文精神的基本面貌。江南士大夫外表貌似柔弱,内心实无比强大,态度似乎和顺,意志则极为坚定,往往是外柔内刚,力重千钧。他们学养丰厚,恂恂儒雅,其实是非分明,原则问题绝不退让;其谈吐多温文尔雅,少见其过激举动,但事关国家兴亡和社稷安危等大事,则虽九死而不悔,多能置生死利害而不顾。

关键词：明清江南士大夫人文面相外柔内刚

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电子产品的质量检验

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质量与认证 2025年第1期 102-105页

作者：张朋国防科技大学第六十三研究所

本文阐述了质量检验的概念、意义、分类和方法,分析电子产品的质量检验依据、过程以及常用的测试仪器,讨论了电子产品质量检验的项目及其相应的检验内容,总结了电子产品质量检验过程中常见的质量缺陷及其影响,为从事电子产品质量检验的... 详细信息

本文阐述了质量检验的概念、意义、分类和方法,分析电子产品的质量检验依据、过程以及常用的测试仪器,讨论了电子产品质量检验的项目及其相应的检验内容,总结了电子产品质量检验过程中常见的质量缺陷及其影响,为从事电子产品质量检验的检验师提供一定的参考。

关键词：电子产品质量检验检验判定缺陷

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Smart additive manufacturing: Current artificial intelligenceenabled methods and future perspectives

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Science China(Technological Sciences) 2020年第9期63卷 1600-1611页

作者： WANG YuanBin ZHENG pai peng Tao YANG HuaYong ZOU Jun State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China Departmen of Ilndustrial and Systems Engineering The Hong Kong Polyechnic UniversityKowloonHong Kong 999077China

Additive manufacturing(AM) has been increasingly used in production. Because of its rapid growth, the efficiency and robustness of AM-based product development processes should be improved. Artificial intelligence(AI) is a powerful tool that has outperformed humans in numerous complex tasks. AI-enabled intelligent agents can reduce the workforce required to scale up AM production and achieve higher resource utilization efficiency. This study provides an introduction of AI techniques. Then,the current development of AI-enabled AM product development is investigated. Existing intelligent agents are used for problems in product design, process design and production stages. Based on the review, current research gaps and future research directions are identified. To guide future development of more efficient and comprehensive intelligent agents, a smart AM framework based on cloud-edge computing is proposed. Global consideration can be realized in the cloud environment, and a fast response can be achieved at the edge nodes.

关键词： additive manufacturing artificial intelligence product development cloud-edge computing

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Achieving Safe Deep Reinforcement Learning via Environment Comprehension Mechanism

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Chinese Journal of Electronics 2021年第6期30卷 1049-1058页

作者： peng pai ZHU Fei LIU Quan ZHAO Peiyao WU Wen School of Computer Science and Technology Soochow University

Deep reinforcement learning(DRL), which combines deep learning with reinforcement learning, has achieved great success recently. In some cases, however,during the learning process agents may reach states that are worthless and dangerous where the task fails. To address the problem, we propose an algorithm, referred as Environment comprehension mechanism(ECM) for deep reinforcement learning to attain safer decisions. ECM perceives hidden dangerous situations by analyzing object and comprehending the environment, such that the agent bypasses inappropriate actions systematically by setting up constraints dynamically according to states. ECM, which calculates the gradient of the states in Markov tuple, sets up boundary conditions and generates a rule to control the direction of the agent to skip unsafe states. ECM is able to be applied to basic deep reinforcement learning algorithms to guide the selection of actions. The experiment results show that the algorithm promoted safety and stability of the control tasks.

关键词： multi-agent systems deep learning (artificial intelligence) Markov tuple agent direction Markov processes basic deep reinforcement learning algorithms environment comprehension mechanism safety boundary conditions ECM

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A novel surgical debridement technique for the treatment of Fournier’s gangrene

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Asian Journal of Andrology 2021年第5期23卷 541-542页

作者： Xiao-Hui Chen peng-pai Qin Zhong-Xing zhang Ji-Yan Lin Jing-Jing zhang Department of Emergency Medicine The First Affiliated Hospital of Xiamen UniversityXiamen 361003China Division No.1 of Surgery Beijing Rectum HospitalBeijing 100035China Department of Cosmetic and Plastic Surgery Zhongshan Hospital Affiliated to Xiamen UniversityXiamen 361005China

Dear Editor,Fourniers gangrene(FG)is a life-threatening disease which is characterized by necrotizing fasciitis of the genital,perianal,and perineal *** was initially found in young healthy males in the late 1800s with the acute onset of fulminant idiopathic genital *** now,FG has been seen in people of different ages,from newborn babies to the elderly3.

关键词： Fournier acute treatment

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视觉富文档理解预训练综述

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计算机科学 2025年第1期52卷 259-276页

作者：张剑李晖张晟铭吴杰彭滢西安电子科技大学网络与信息安全学院西安710071 中电科网络安全科技股份有限公司成都610095

视觉富文档指语义结构不仅由文本内容决定,还与排版格式和表格结构等视觉元素相关的文档。现实生活中的票据理解和证件识别等应用场景,都需要对视觉富文档进行自动化的阅读、分析和处理。这一过程即为视觉富文档理解,属于自然语言处理... 详细信息

视觉富文档指语义结构不仅由文本内容决定,还与排版格式和表格结构等视觉元素相关的文档。现实生活中的票据理解和证件识别等应用场景,都需要对视觉富文档进行自动化的阅读、分析和处理。这一过程即为视觉富文档理解,属于自然语言处理和计算机视觉的交叉领域。近年来,视觉富文档理解领域的预训练技术在打破下游任务的训练壁垒和提升模型表现上取得了重大的进展。然而,目前对现有的预训练模型的归纳总结和深入分析仍然有所欠缺。为此,对视觉富文档理解领域预训练技术的相关研究进行了全面总结。首先,介绍了预训练技术的数据预处理阶段,包括预训练数据集和光学字符识别引擎。然后,对预训练技术的模型预训练阶段进行了阐述,提炼出单模态表示学习、多模态特征融合和预训练任务3个关键的技术模块,并基于上述模块归纳了预训练模型之间的共性和差异。此外,简要介绍了多模态大模型在视觉富文档理解领域的应用。接着,对预训练模型在下游任务上的表现进行了对比分析。最后,探讨了预训练技术面临的挑战和未来的研究方向。

关键词：文档智能预训练模型自然语言处理计算机视觉深度学习

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Interpretable Data-Driven Learning With Fast Ultrasonic Detection for Battery Health Estimation

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 267-269页

作者： Kailong Liu Yuhang Liu Qiao peng Naxin Cui Chenghui zhang the School of Control Science and Engineering Shandong University the Information Technology Analytics & Operations GroupQueen's University Belfast

Dear Editor,Health management is essential to ensure battery performance and safety, while data-driven learning system is a promising solution to enable efficient state of health(SoH) estimation of lithium-ion(Liion) batteries. However, the time-consuming signal data acquisition and the lack of interpretability of model still hinder its efficient deployment. Motivated by this, this letter proposes a novel and interpretable data-driven learning strategy through combining the benefits of explainable AI and non-destructive ultrasonic detection for battery SoH estimation. Specifically, after equipping battery with advanced ultrasonic sensor to promise fast real-time ultrasonic signal measurement, an interpretable data-driven learning strategy named generalized additive neural decision ensemble(GANDE) is designed to rapidly estimate battery SoH and explain the effects of the involved ultrasonic features of interest.

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The LP-rounding plus greed approach for partial optimization revisited

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Frontiers of Computer Science 2022年第1期16卷 67-75页

作者： peng zhang School of Software Shandong UniversityJinan250101China

There are many optimization problems having the following common property:Given a total task consisting of many subtasks,the problem asks to find a solution to complete only part of these *** include the k-Forest problem and the k-Multicut problem,*** problems are called partial optimization problems,which are often *** this paper,we systematically study the LP-rounding plus greed approach,a method to design approximation algorithms for partial optimization *** approach is simple,powerful and *** show how to use this approach to design approximation algorithms for the k-Forest problem,the k-Multicut problem,the k-Generalized connectivity problem,etc.

关键词： k-Forest k-Multicut partial optimization LP-rounding Greedy algorithm Approximation algorithm

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Friction Stir Processing of Magnesium Alloys:A Review

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Acta Metallurgica Sinica(English Letters) 2020年第1期33卷 43-57页

作者： Wen Wang peng Han pai peng Ting zhang Qiang Liu Sheng-Nan Yuan Li-Ying Huang Hai-Liang Yu Ke Qiao Kuai-She Wang School of Metallurgical Engineering Xi’an University of Architecture and TechnologyXi’an 710055China National and Local Joint Engineering Research Center for Functional Materials Processing Xi’an 710055China Experimental Teaching Demonstration Center for Materials Processing Xi’an University of Architecture and TechnologyXi’an 710055China College of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China

Magnesium(Mg)alloys have been extensively used in various fields,such as aerospace,automobile,electronics,and biomedical industries,due to their high specific strength and stiff ness,excellent vibration absorption,electromagnetic shielding eff ect,good machinability,and *** stir processing(FSP)is a severe plastic deformation technique,based on the principle of friction stir *** addition to introducing the basic principle and advantages of FSP,this paper reviews the studies of FSP in the modification of the cast structure,superplastic deformation behavior,preparation of finegrained Mg alloys and Mg-based surface composites,and additive *** not only refines,homogenizes,and densifies the microstructure,but also eliminates the cast microstructure defects,breaks up the brittle and network-like phases,and prepares fine-grained,ultrafine-,and nano-grained Mg ***,FSP significantly improves the comprehensive mechanical properties of the alloys and achieves low-temperature and/or high strain rate ***,FSP can produce particle-and fiber-reinforced Mg-based surface *** a promising additive manufacturing technique of light metals,FSP enables the additive manufacturing of Mg ***,we prospect the future research direction and application with friction stir processed Mg alloys.

关键词： Friction stir processing Magnesium alloy Superplasticity Grain refinement Mg-based surface composites Additive manufacturing

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