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roadmap for rechargeable batteries:present and beyond

Science china Chemistry 2024年第1期67卷 13-42页

作者： Sen Xin Xu zhang Lin wang Haijun Yu Xin Chang Yu-Ming Zhao Qinghai Meng pan Xu Chen-Zi Zhao Jiahang Chen huichao Lu Xirui Kong Jiulin wang Kai Chen Gang huang Xinbo zhang Yu Su Yao Xiao Shu-Lei Chou Shilin zhang Zaiping Guo Aobing Du Guanglei cui Gaojing Yang Qing Zhao Liubing Dong Dong Zhou Feiyu Kang hu Hong Chunyi Zhi Zhizhang yuan Xianfeng Li Yifei Mo Yizhou Zhu Dongfang Yu Xincheng Lei Jianxiong Zhao Jiayi wang Dong Su Yu-Guo Guo Qiang zhang jun Chen Li-jun Wan CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular SciencesBeijing National Laboratory for Molecular Sciences(BNLMS)Institute of ChemistryChinese Academy of Sciences(CAS)Beijing 100190China univer.ity of Chinese Academy of Sciences.Beijing 100049 China Institute of Advanced Battery Materials and Devices Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationBeijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Green Chemical reaction Engineering and technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Chemistry and Utilization of Carbon-Based Energy resources College of ChemistryXinjiang UniversityUrumqi 830046China Department of Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of rare Earth resource Utilization Changchun Institute of Applied ChemistryChangchun 130022China Institute for Carbon Neutralization College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China School of Chemical Engineering and Advanced Materials The University of AdelaideAdelaide 5000Australia Qingdao Industrial Energy Storage research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101China Frontiers Science Center for New Organic Matter Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education)College of ChemistryNankai UniversityTianjin 300071China College of Chemistry and Materials Science Jinan UniversityGuangzhou 511443China Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China Division of Energy Storage Dalian National Laboratory for Clean Energy(DNL)Dalian Institute of Chem

rechargeable batteries currently hold the largest share of the electrochemical energy storage market,and they play a major role in the sustainable energy transition and industrial decarbonization to respond to global climate *** to the increased popularity of consumer electronics and electric vehicles,lithium-ion batteries have quickly become the most successful rechargeable batteries in the past three decades,yet growing demands in diversified application scenarios call for new types of rechargeable *** efforts are made to developing the next-generation post-Li-ion rechargeable batteries,which include,but are not limited to solid-state batteries,lithium–sulfur batteries,sodium-/potassium-ion batteries,organic batteries,magnesium-/zinc-ion batteries,aqueous batteries and flow *** the great achievements,challenges persist in precise understandings about the electrochemical reaction and charge transfer process,and optimal design of key materials and interfaces in a *** roadmap tends to provide an overview about the current research progress,key challenges and future prospects of various types of rechargeable *** computational methods for materials development,and characterization techniques will also be discussed as they play an important role in battery research.

关键词： energy storage rechargeable batteries battery materials electrochemistry

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pID Control Design for a Class of Second-order Nonlinear Systems Based on Extended Takagi-Sugeno Fuzzy Models

PID Control Design for a Class of Second-order Nonlinear Sys...

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2011 Chinese Control and Decision Conference（CCDC）

作者： jun hu,yin-he wang,yue-yuan cui,yun zhang faculty of automation,guangdong univer.ity of technology,guangzhou,p.r.china,510006

In this paper we mainly focus on the design of updated laws for the coefficients in pID controllers for a class of second-order nonlinear *** logic systems have the advantages in approximating nonlinear uncertain functions,furthermore,the consequent of a Takagi-Sugeno（TS,for short） fuzzy model contains the linear combination of the base functions with input signals which makes it feasible to introduce TS fuzzy logic system （TSFLS,for short） to compose the pID *** this paper we attempt to realize the aforementioned idea by designing a pID controller based on extended TS fuzzy models,with sliding mode and adaptive control methods,such design makes up for the general lack of conventional pID controllers design in some degree.

关键词： fuzzy pID control extended TS fuzzy logic system sliding mode control adaptive updated laws

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Direct Adaptive Fuzzy Control with Compressors and Limiters for a Class of Uncertain Nonlinear Systems

Direct Adaptive Fuzzy Control with Compressors and Limiters ...

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第三十届中国控制会议

作者： FAN Yong-Qing,wang yin-he,hu jun,cui yue-yuan,zhang yun faculty of automation,guangdong univer.ity of technology,guangzhou,510006,p.r.china

＜正＞This paper proposes a novel direct robust adaptive fuzzy output tracking control schemes for a class of uncertain nonlinear systems with external *** adaptive fuzzy controller is based on the definition of compressor and limiter with adjustable parameters,then a controller with updated laws of the parameters of the compressor and estimate values of the fuzzy approximation accuracies is designed to track a given reference *** main contribution of the proposed method is that the logic structure of the fuzzy logic system can be neglected,which only focus on the parameters of the compressor,limiter and the fuzzy approximation *** adaptive fuzzy control method in this paper has no relation to the number of on-line updated parameters,so this design method suited to various types of fuzzy logic systems with fuzzy rules or without any rules. So that convergence to zero of tracking errors and uniformly ultimately bounded（UUB） of all the signals in the closed-loop system can be ***,the simulation result demonstrates the fuzzy control can guarantee the system stability and also maintain a good tracking performance.

关键词： Adaptive control Fuzzy approximation Compressor Limiter Uniformly ultimately bounded(UUB)

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Large circuit models: opportunities and challenges

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Science china(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CheN Yiqi CheN Zhufei Chu Wenji FANG Tsung-Yi HO ru huANG Yu huANG Sadaf KHAN Min LI Xingquan LI Yu LI yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang pAN Zhengyuan SHI Guangyu SUN Dimitrios TSArAS runsheng wang Ziyi wang Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE junchi YAN jun YANG Bei YU Mingxuan yuan Evangeline F.Y.YOUNG Xuan ZENG Haoyi zhang Zuodong zhang Yuxiang ZHAO hui-Ling ZheN Ziyang ZheNG Binwu Zhu Keren Zhu Sunan ZOU huawei Noah’s Ark Lab School of Integrated Circuits Peking University faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University huawei HiSilicon peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(rTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(ppA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

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CEpC Technical Design report

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radiation Detection technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An rui An Daniele paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond p.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-jun Bi yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai huacheng Cai Lorenzo Calibbi junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen hua-Xing Chen huirun Chen Jinhui Chen Ji-yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng huajie Cheng Shan Cheng Tongguang Cheng yunlong Chi pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua cui Xiaohao cui Zhaoyuan cui Brunella D'Anzi Ling-yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH univer.ity of Science and technology Faculty of Physics and Applied Computer ScienceKrakow Anhui univer.ity HefeiAnhui Applied physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu univer.ity Institute of ScienceVaranasi Bandirma Onyedi Eylul univer.ity Bandirma Beihang univer.ity Beijing Beijing Computational Science research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass research Institute Co. LtdBeijing Beijing Institute of technology Beijing Beijing Normal univer.ity Beijing Brown univer.ity ProvidenceRI Budker Institute of Nuclear physics Novosibirsk Cadi Ayyad univer.ity Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo univer.ity Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central china Normal univer.ity WuhanHubei Central South univer.ity ChangshaHunan Centro de Fisica Teorica de particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital radio&TV Equipment Co. LtdChengduSichuan china academy of engineering physics MianyangSichuan china building materials academy Beijing china Center of Advanced Science and technology Beijing china Institute of Atomic Energy Beijing china Jiliang univer.ity HangzhouZhejiang china Nuclear Instrument CO. LTDBeijing china univer.ity of Geosciences Beijing china univer.ity of Geosciences WuhanHubei china univer.ity of Mining and technology XuzhouJiangsu china West Normal univer.ity NanchongSichuan Chongqing univer.ity Department of PhysicsChongqing Chulalongkorn univer.ity Bangkok City univer.ity of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell univer.ity IthacaNY CppM(AMU/Iphu&CNrS/INp) Marseille Dalian Minzu univer.ity DalianLiaoning Dalian univer.ity of technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear problems of Joint Institute for Nuclear research(DLNp JINr) Dubna East china univer.ity Of Science And Technol

The Circular Electron positron Collider(CEpC)is a large scientific project initiated and hosted by china,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super proton proton Collider(SppC).The CEpC primarily serves as a Higgs *** its baseline design with synchrotron radiation(Sr)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(Ip),resulting in an integrated luminosity of 13 ab^(-1)for two Ips over a decade,producing 2.6 million Higgs *** the Sr power to 50 MW per beam expands the CEpC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design report(TDr)follows the preliminary Conceptual Design report(pre-CDr,2015)and the Conceptual Design report(CDr,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,r&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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基于深度信念极限学习机与卷积优化算法的洪水预报方法

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水电能源科学 2024年第8期42卷 48-52页

作者：徐军杨张奇伟蔡鹏罗远林张坚张楚华东勘测设计研究院有限公司浙江杭州311122 昆山市水务局江苏苏州215131 淮阴工学院自动化学院江苏淮安223003

针对洪水峰高量大、汇流时间短以及流域地貌复杂,导致洪水预报难度大和预报精度不理想的问题,提出一种基于深度信念极限学习机(DBN-ELM)和改进卷积优化算法(ICOA)的ICOA-DBN-ELM模型。以渭河上游北道水文站点2006~2020年的日径流数据作... 详细信息

针对洪水峰高量大、汇流时间短以及流域地貌复杂,导致洪水预报难度大和预报精度不理想的问题,提出一种基于深度信念极限学习机(DBN-ELM)和改进卷积优化算法(ICOA)的ICOA-DBN-ELM模型。以渭河上游北道水文站点2006~2020年的日径流数据作为输入数据,并将该模型与Bp、ELM、DBN-Bp、DBN-ELM、COA-DBN-ELM模型进行对比。结果表明,所建立的ICOA-DBN-ELM模型有更好的预报精度,在洪水预报领域具有良好的应用前景。

关键词：洪水预报深度信念极限学习机参数优化卷积优化算法

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progress in ceramic materials and structure design toward advanced thermal barrier coatings

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Journal of Advanced Ceramics 2022年第7期11卷 985-1068页

作者： Zhi-yuan WEI Guo-hui MENG Lin CheN Guang-rong LI Mei-jun LIU Wei-Xu zhang Li-Na ZHAO Qiang zhang Xiao-Dong zhang Chun-Lei WAN Zhi-Xue QU Lin CheN Jing FENG Ling LIU hui DONG Ze-Bin BAO Xiao-Feng ZHAO Xiao-Feng zhang Lei GUO Liang wang Bo CheNG Wei-Wei zhang peng-yun XU Guan-jun YANG Hong-Neng CAI Hong cui You wang Fu-Xing YE Zhuang MA Wei pAN Min LIU Ke-Song ZHOU Chang-Jiu LI State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China State Key Laboratory for Strength and Vibration of Mechanical Structures Department of Engineering MechanicsSchool of Aerospace EngineeringXi’an Jiaotong UniversityXi’an 710049China Xi’an Aerospace Composite research Institute Xi’an 710025China AECC Beijing Institute of Aeronautical Materials Beijing 100095China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of New Ceramics&Fine processing School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China faculty of Materials and Manufacturing Key Laboratory of Advanced Functional MaterialsEducation Ministry of ChinaFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Xi’an Key Laboratory of High performance Oil and Gas Field Materials School of Materials Science and EngineeringXi’an Shiyou UniversityXi’an 710065China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Shanghai Key Laboratory of Advanced High-temperature Materials and precision Forming Shanghai Jiao Tong UniversityShanghai 200240China National Engineering Laboratory for Modern Materials Surface Engineering technology the Key Lab of Guangdong for Modern Surface Engineering TechnologyInstitute of New MaterialsGuangdong Academy of SciencesGuangzhou 510650China School of Materials Science and Engineering Tianjin UniversityTianjin 300072China Integrated Computational Materials research Centre Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201899China State Key Laboratory of Advanced processing and recycling of

Thermal barrier coatings(TBCs)can effectively protect the alloy substrate of hot components in aeroengines or land-based gas turbines by the thermal insulation and corrosion/erosion resistance of the ceramic top ***,the continuous pursuit of a higher operating temperature leads to degradation,delamination,and premature failure of the top *** new ceramic materials and new coating structures must be developed to meet the demand for future advanced TBC *** this paper,the latest progress of some new ceramic materials is first ***,a comprehensive spalling mechanism of the ceramic top coat is summarized to understand the dependence of lifetime on various factors such as oxidation scale growth,ceramic sintering,erosion,and calcium–magnesium–aluminium–silicate(CMAS)molten salt ***,new structural design methods for high-performance TBCs are discussed from the perspectives of lamellar,columnar,and nanostructure *** latest developments of ceramic top coat will be presented in terms of material selection,structural design,and failure mechanism,and the comprehensive guidance will be provided for the development of next-generation advanced TBCs with higher temperature resistance,better thermal insulation,and longer lifetime.

关键词： thermal barrier coatings(TBCs) ceramic material degradation and failure structure design long lifetime

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基于先进控制的焦炉煤气制甲醇过程应用

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广东化工 2024年第18期51卷 113-116页

作者：吴道兴梁君袁海锋张龙神华巴彦淖尔能源有限公司内蒙古巴彦淖尔014400 南京科远智慧科技集团股份有限公司江苏南京210000

针对焦炉煤气制甲醇的精馏工序、合成工序及转化工序设计实现了先进控制,并优化了控制策略,开发了精馏、合成以及转化工序先进控制系统。应用结果表明:ApC(先进控制系统)投运后,提高系统抗扰能力与负荷变化时的跟踪能力。自动化水平、... 详细信息

针对焦炉煤气制甲醇的精馏工序、合成工序及转化工序设计实现了先进控制,并优化了控制策略,开发了精馏、合成以及转化工序先进控制系统。应用结果表明:ApC(先进控制系统)投运后,提高系统抗扰能力与负荷变化时的跟踪能力。自动化水平、产品质量和收率都得到了提升,实现了焦炉煤气制甲醇过程的精细化、自动化控制。

关键词：焦炉煤气制甲醇先进控制精馏优化集散控制系统

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reflections on the Connotations of Ecotourism

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Chinese Journal of population,resources and Environment 2009年第2期7卷 67-70页

作者： zhang Meng yuan jun Wu Zhengzheng faculty of International Tourism Macao University of Science and Technology Macao China Normal College Shenzhen University Shenzhen Guangdong 518060 China College of Cultur＇al heritage Northwest University Xi＇an Shaanxi 710069 china

As the most desirable option for sustainable development of tourism industry, ecotourism still suffers from lack of a clear-cut and widely accepted definition, posing many risks and threats in its practices. Based on collection and collation of various concepts and explanations of ecotourism both at home and abroad, this paper reflects on the current connotations of ecotourism in terms of four aspects, namely, objects of ecotourism, ecotourists, nature of ecotourism as well as the relationship between ecotourism and communities. In-depth analysis was performed in an effort to revise the misinterpretation of ecotourism and provide implications for ecotourism initiatives. The main conclusions and fruits of this article include： 1） The objects of eeotourism should go beyond natural, pristine, or even only primitive natural areas to including cultural resources together with their natural context which also deserve preservation. 2） Tourism operators, compared to tourists, have more leverage and hence should shoulder more responsibilities for conservation. 3） Ecotourism should serve as a principle to guide tourism initiatives towards sustainability, rather than merely a special tour package. 4） The theoretic foundation was laid for community participation in ecotourism.

关键词： ecotourism connotations externality

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Strong chirality in twisted bilayerα-MoO_(3)

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Chinese physics B 2022年第4期31卷 305-312页

作者： Bi-yuan Wu zhang-Xing Shi Feng Wu Ming-jun wang Xiao-hu Wu School of automation and Information Engineering Xi’an University of TechnologyXi’an 710048China Shandong Institute of Advanced technology Jinan 250100China School of Optoelectronic Engineering Guangdong Polytechnic Normal UniversityGuangzhou 510665China School of physics and Telecommunications Engineering Shaanxi University of TechnologyHanzhong 723001China

Chiral structures are promising in many applications,such as biological sensing and analytical chemistry,and have been extensively *** this paper,we theoretically investigate the chiral response of twisted bilayerα-MoO_(3).Firstly,the analytical formula for the transmissivity is derived when the structure is illuminated with circularly polarized plane ***,the results demonstrate that the twisted bilayerα-MoO_(3)can excite the strong chirality with the maximum circular dichroism(CD)of *** this case,the chirality is due to the simultaneous breaking the rotational symmetry and mirror symmetry,which originates from the relative rotation of twoα-MoO_(3)*** better understand the physical mechanism,the polarization conversion between the left-hand circular polarization(LCp)and right-hand circular polarization(rCp)waves is discussed as ***,it is found that the structure can maintain the strong chirality(CD>0.8)when the twisted angle varies from 69°to 80°,which effectively reduces the strictness in the requirement for rotation *** addition,the CD can be larger than 0.85 when the incidence angle of circularly polarized plane wave is less than 40°,implying that the chirality is robust against the angle of *** work not only provides an insight into chirality induced by the twisted bilayerα-MoO_(3),but also looks forward to applications in biolo gical sensing.

关键词： chirality twisted bilayer α-MoO_(3)

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