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Artificial intelligence for geoscience:Progress,challenges,and perspectives

The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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基于注意力机制与自适应特征融合的群养猪身份识别

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软件导刊 2024年第6期23卷 25-31页

作者：韩丁磊陈晨 Steibel Juan Siegford Janice 韩俊杰王梦凡徐雷钧 Norton Tomas 江苏大学电气信息工程学院江苏镇江212013 Department of Animal Science Iowa State UniversityAmesIA 50010USA Animal Behaviour and Welfare Group Department of Animal ScienceMichigan State UniversityEast Lansing 48824USA Animal Behaviour and Welfare Group Department of Computational MathematicsScience and EngineeringMichigan State UniversityEast Lansing 48824USA Division of Measure Model&Manage Bioresponses(M3-Biores)KU LeuvenLeuven 30001Belgium

针对群养猪攻击过程中身体形变和重叠影响猪身份识别精度的问题,开发一种基于注意力机制和自适应特征融合的深度学习方法以提高猪身份识别精度。录制猪栏中8只猪每天8小时共3天的视频,并筛选含攻击的16830帧作为数据集。首先,采用ResNe... 详细信息

针对群养猪攻击过程中身体形变和重叠影响猪身份识别精度的问题,开发一种基于注意力机制和自适应特征融合的深度学习方法以提高猪身份识别精度。录制猪栏中8只猪每天8小时共3天的视频,并筛选含攻击的16830帧作为数据集。首先,采用ResNet50提取猪的卷积神经网络(CNN)特征;然后,采用特征金字塔网络(FPN)在ResNet50中选择3层不同尺度的特征,以优化这些特征的定位和语义信息;接着,采用自注意力机制提高这些特征的区分度,并采用自适应空间特征融合(ASFF)以融合不同尺度的特征;最后,利用卷积和Sigmoid函数相结合的检测器对猪身份进行识别。使用该方法后,猪身份识别的均值平均精度(mAP)达到95.59%,速度达到37.6 f/s。结果表明,该方法能够在攻击场景下有效识别猪身份,有助于将攻击识别从群体级细化为个体级。

关键词：群养猪身份识别注意力机制特征融合深度学习

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Virus Infection Induces Immune Gene Activation with CTCF-anchored Enhancers and Chromatin Interactions in Pig Genome

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Genomics, Proteomics & Bioinformatics 2024年第5期22卷 109-120页

作者： Jianhua Cao Ruimin Ren Xiaolong Li Xiaoqian Zhang Yan Sun Xiaohuan Tian Ru Liu Xiangdong Liu Yijun Ruan Guoliang Li Shuhong Zhao Key Laboratory of Agricultural Animal Genetics Breeding and ReproductionMinistry of EducationCollege of Animal Science and TechnologyHuazhong Agricultural UniversityWuhan 430070China Key Laboratory of Swine Genetics and Breeding Ministry of Agriculture and Rural AffairsHuazhong Agricultural UniversityWuhan 430070China Life Sciences Institute Zhejiang UniversityHangzhou 310058China Key Laboratory of Smart Farming for Agricultural Animals College of InformaticsHuazhong Agricultural UniversityWuhan 430070China Engineering Research Center of Intelligent Technology for Agriculture Ministry of EducationHuazhong Agricultural UniversityWuhan 430070China National Key Laboratory of Crop Genetic Improvement Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhan 430070China

Chromatin organization is important for gene transcription in pig ***,its three-dimensional(3D)structure and dynamics are much less investigated than those in ***,we applied the long-read chromatin interaction analysis by paired-end tag sequencing(ChIA-PET)method to map the whole-genome chromatin interactions mediated by CCCTC-binding factor(CTCF)and RNA polymerase II(RNAPII)in porcine macrophage cells before and after polyinosinic-polycytidylic acid[Poly(I:C)]*** results reveal that Poly(I:C)induction impacts the 3D genome organization in the 3D4/21 cells at the fine-scale chromatin loop level rather than at the large-scale domain ***,our findings underscore the pivotal role of CTCF-anchored chromatin interactions in reshaping chromatin architecture during immune *** of the CTCF-binding locus further confirms that the CTCF-anchored enhancers are associated with the activation of immune genes via long-range ***,the ChIA-PET data also support the spatial relationship between single nucleotide polymorphisms(SNPs)and related gene transcription in 3D genome *** findings in this study provide new clues and potential targets to explore key elements related to diseases in pigs and are also likely to shed light on elucidating chromatin organization and dynamics underlying the process of mammalian infectious diseases.

关键词： CTCF ChIA-PET Chromatin Immunity Pig

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Super-resolution fluorescence-assisted diffraction computational tomography reveals the threedimensional landscape of the cellular organelle interactome

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Light(Science & Applications) 2020年第1期9卷 1889-1903页

作者： Dashan Dong Xiaoshuai Huang Liuju Li Heng Mao Yanquan Mo Guangyi Zhang Zhe Zhang Jiayu Shen Wei Liu Zeming Wu Guanghui Liu Yanmei Liu Hong Yang Qihuang Gong Kebin Shi Liangyi Chen State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of PhysicsPeking UniversityBeijing 100871China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuanShanxi 030006China State Key Laboratory of Membrane Biology Beijing Key Laboratory of Cardiometabolic Molecular MedicineInstitute of Molecular MedicinePeking UniversityBeijing 100871China School of Mathematical Sciences Peking UniversityBeijing 100871China School of Software and Microelectronics Peking UniversityBeijing 100871China State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China National Laboratory of Biomacromolecules Chinese Academy of Sciences Center for Excellence in BiomacromoleculesInstitute of BiophysicsBeijing 100101China Institute for Brain Research and Rehabilitation(IBRR) Guangdong Key Laboratory of Mental Health and Cognitive ScienceSouth China Normal UniversityGuangzhouChina Collaborative Innovation Center of Quantum Matter Peking UniversityBeijing 100871China PKU-IDG/McGovern Institute for Brain Research Beijing 100871China

The emergence of super-resolution(SR)fluorescence microscopy has rejuvenated the search for new cellular ***,SR fluorescence microscopy achieves high contrast at the expense of a holistic view of the interacting partners and surrounding ***,we developed SR fluorescence-assisted diffraction computational tomography(SR-FACT),which combines label-free three-dimensional optical diffraction tomography(ODT)with two-dimensional fluorescence Hessian structured illumination *** ODT module is capable of resolving the mitochondria,lipid droplets,the nuclear membrane,chromosomes,the tubular endoplasmic reticulum,and *** dual-mode correlated live-cell imaging for a prolonged period of time,we observed novel subcellular structures named dark-vacuole bodies,the majority of which originate from densely populated perinuclear regions,and intensively interact with organelles such as the mitochondria and the nuclear membrane before ultimately collapsing into the plasma *** work demonstrates the unique capabilities of SR-FACT,which suggests its wide applicability in cell biology in general.

关键词： landscape illumination partner

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Applications of nanogenerators for biomedical engineering and healthcare systems

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InfoMat 2022年第2期4卷 53-109页

作者： Wanli Wang Jinbo Pang Jie Su Fujiang Li Qiang Li Xiaoxiong Wang Jingang Wang Bergoi Ibarlucea Xiaoyan Liu Yufen Li Weijia Zhou Kai Wang Qingfang Han Lei Liu Ruohan Zang Mark HRümmeli Yang Li Hong Liu Han Hu Gianaurelio Cuniberti College of Electrical Engineering Qingdao UniversityQingdaoChina Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanJinanChina College of Electronic Information Qingdao UniversityQingdaoChina Department of Pediatric Surgery The Affiliated Hospital of Qingdao UniversityQingdaoChina College of Physics Qingdao UniversityQingdaoChina Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresdenGermany Center for Advancing Electronics Dresden Technische Universität DresdenDresdenGermany College of Biological Science and Technology University of JinanJinanChina School of Chemistry and Chemical Engineering University of JinanShandongJinanChina College of Energy Soochow Institute for Energy and Materials InnovationsSoochow UniversitySuzhouChina Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhouChina Centre of Polymer and Carbon Materials Polish Academy of SciencesZabrzePoland Institute for Complex Materials IFW DresdenDresdenGermany Institute of Environmental Technology VŠB-Technical University of OstravaOstravaCzech Republic School of Information Science and Engineering University of JinanJinanChina Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of JinanJinanChina State Key Laboratory of Crystal Materials Center of Bio&Micro/Nano Functional MaterialsShandong UniversityJinanChina College of Chemical Engineering China University of Petroleum(East China)QingdaoChina Dresden Center for computational Materials Science Technische Universität DresdenDresdenGermany The Dresden Center for Intelligent Materials(DCIM) Technische Universität DresdenDresdenGermany

The dream of human beings for long living has stimulated the rapid development of biomedical and healthcare ***,conventional biomedical and healthcare devices have shortcomings such as short service life,large equipment size,and high potential safety ***,the power supply for conventional implantable device remains predominantly *** emerging nanogenerators,which harvest micro/nanomechanical energy and thermal energy from human beings and convert into electrical energy,provide an ideal solution for self-powering of biomedical *** combination of nanogenerators and biomedicine has been accelerating the development of self-powered biomedical *** article first introduces the operating principle of nanogenerators and then reviews the progress of nanogenerators in biomedical applications,including power supply,smart sensing,and effective ***,the microbial disinfection and biodegradation performances of nanogenerators have been ***,the protection devices have been discussed such as face mask with air filtering function together with real-time monitoring of human health from the respiration and heat ***,the nanogenerator devices have been categorized by the types of mechanical energy from human beings,such as the body movement,tissue and organ activities,energy from chemical reactions,and gravitational potential ***,the challenges and future opportunities in the applications of nanogenerators are delivered in the conclusive remarks.

关键词： biomedical engineering healthcare implantable devices nanogenerators self-powered devices sensors

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The numbers of fungi:contributions from traditional taxonomic studies and challenges of metabarcoding

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Fungal Diversity 2022年第3期114卷 327-386页

作者： Chayanard Phukhamsakda Rolf Henrik Nilsson Chitrabhanu S.Bhunjun Antonio Roberto Gomes de Farias Ya-Ru Sun Subodini N.Wijesinghe Mubashar Raza Dan-Feng Bao Li Lu Saowaluck Tibpromma Wei Dong Danushka S.Tennakoon Xing-Guo Tian Yin-Ru Xiong Samantha C.Karunarathna Lei Cai Zong-Long Luo Yong Wang Ishara S.Manawasinghe Erio Camporesi Paul M.Kirk Itthayakorn Promputtha Chang-Hsin Kuo Hong-Yan Su Mingkwan Doilom Yu Li Yong-Ping Fu Kevin D.Hyde Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi Jilin Agricultural UniversityChangchun 130118JilinPeople’s Republic of China College of Plant Protection Jilin Agricultural UniversityChangchun 130118JilinPeople’s Republic of China Gothenburg Global Biodiversity Centre 40530 GothenburgSweden Department of Biological and Environmental Sciences University of GothenburgBox 46140530 GothenburgSweden Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouPeople’s Republic of China State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101People’s Republic of China College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanPeople’s Republic of China Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Centre for Mountain Futures Kunming Institute of BotanyKunming 650201YunnanPeople’s Republic of China Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanPeople’s Republic of China Innovative Institute for Plant health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China Department of Plant Medicine National Chiayi University300 Syuefu RoadChiayi City 60004Taiwan School of Food and Pharmaceutical Engineering Guizhou Institute of TechnologyGuiyang 550003People’s Republic of China CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201People’s Republic of China A.M.B.Gruppo Micologico Forlivese“Antonio Cicognani”Via Roma 18ForlìItaly A.M.B Circolo Micologico“Giovanni Carini”C.P.314 BresciaItaly

The global diversity of fungi has been estimated using several different *** is somewhere between 2–11 million estimated species,but the number of formally described taxa is around 150,000,a tiny fraction of the *** this paper,we examine 12 ascomycete genera as case studies to establish trends in fungal species descriptions,and introduce new species in each *** highlight the importance of traditional morpho-molecular methods in publishing new species,we introduce novel taxa in 12 genera that are considered to have low species *** discuss whether the species are likely to be rare or due to a lack of extensive sampling and *** genera are Apiospora,Bambusicola,Beltrania,Capronia,Distoseptispora,Endocalyx,Neocatenulostroma,Neodeightonia,Paraconiothyrium,Peroneutypa,Phaeoacremonium and *** discuss host-specificity in selected genera and compare the number of species epithets in each genus with the number of ITS(barcode)sequences deposited in GenBank and *** furthermore discuss the relationship between the divergence times of these genera with those of their *** hypothesize whether there might be more species in these genera and discuss hosts and habitats that should be investigated for novel species discovery.

关键词： 12 new taxa Ascomycota Fungal diversity Fungal numbers High-throughput sequencing Host-specificity

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Emerging Internet of Things driven carbon nanotubes-based devices

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Nano Research 2022年第5期15卷 4613-4637页

作者： Shu Zhang Jinbo Pang Yufen Li Feng Yang Thomas Gemming Kai Wang Xiao Wang Songang Peng Xiaoyan Liu Bin Chang Hong Liu Weijia Zhou Gianaurelio Cuniberti Mark HRümmeli Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanJinan 250022China Department of Chemistry Guangdong Provincial Key Laboratory of CatalysisSouthern University of Science and TechnologyShenzhen 518055China Leibniz Institute for Solid State and Materials Research Dresden P.O.Box 270116Dresden D-01171Germany State Key Laboratory of Crystal Materials Center of Bio&Micro/Nano Functional MaterialsShandong University27 Shandanan RoadJinan 250100China School of Electrical Engineering Qingdao UniversityQingdao 266071China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan AvenueShenzhen University TownShenzhen 518055China High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Microelectronic Devices&Integrated Technology Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China School of Chemistry and Chemical Engineering University of JinanJinan 250022China College of Energy Soochow Institute for Energy and Materials InnovationsSoochow UniversitySuzhou 215006China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhou 215006China Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie Sklodowskiej 34Zabrze 41-819Poland Institute of Environmental Technology(CEET) VSB-Technical University of Ostrava17.Listopadu 15Ostrava 70833Czech Republic Dresden Center for computational Materials Science Technische Universität DresdenDresden 01062Germany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität DresdenDresden 01062Germany Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresden 01069Germany Center for Advancing Electronics D

Carbon nanotubes(CNTs)have attracted great attentions in the field of electronics,sensors,healthcare,and energy *** emerging applications have driven the carbon nanotube research in a rapid ***,the structure control over CNTs has inspired an intensive research vortex due to the high promises in electronic and optical device ***,this in-depth review is anticipated to provide insights into the controllable synthesis and applications of high-quality ***,the general synthesis and post-purification of CNTs are briefly ***,the state-of-the-art electronic device applications are discussed,including field-effect transistors,gas sensors,DNA biosensors,and pressure ***,the optical sensors are delivered based on the *** addition,energy applications of CNTs are discussed such as thermoelectric energy ***,future opportunities are proposed for the Internet of Things(IoT)oriented sensors,data processing,and artificial intelligence.

关键词： carbon nanotubes electronics sensors electronic skins Internet of Things artificial intelligence

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Modulating p-type doping of two-dimensional material palladium diselenide

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Nano Research 2024年第4期17卷 3232-3244页

作者： Jiali Yang Yu Liu En-Yang Wang Jinbo Pang Shirong Huang Thomas Gemming Jinshun Bi Alicja Bachmatiuk Hao Jia Shu-Xian Hu Chongyun Jiang Hong Liu Gianaurelio Cuniberti Weijia Zhou Mark H Rümmeli Institute for Advanced Interdisciplinary Research(iAIR) University of JinanJinan 250022China Institute for Materials Chemistry Leibniz Institute for Solid State and Materials Research Dresden(IFW Dresden)20 Helmholtz StrasseDresden 01069Germany State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhou 215006China School of Integrated Circuits University of Chinese Academy of SciencesBeijing 101408China Institute of Microelectronics of Tianjin Binhai New Area Tianjin 300451China Institute of Microelectronics Chinese Academy of SciencesBeijing 100029China Lukasiewicz Research Network PORT Polish Center for Technology DevelopmentStablowicka 147Wroclaw 54-066Poland School of Mathematics and Physics University of Science and Technology BeijingBeijing 100083China College of electronic information and optical engineering Nankai UniversityTianjin 300350China Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie Sklodowskiej 34Zabrze 41-819Poland Center for Energy and Environmental Technologies VŠB-Technical University of Ostrava17.Listopadu 15Ostrava 70833Czech Republic State Key Laboratory of Crystal Materials Center of Bio&Micro/Nano Functional MaterialsShandong UniversityJinan 250100China Dresden Center for computational Materials Science Technische Universität DresdenDresden 01062Germany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität DresdenDresden 01062Germany Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresden 01069Germany Center for Advancing Electronics Dresden Technische Universität DresdenDresden 01069Germany

The van der Waals heterostructures have evolved as novel materials for complementing the Si-based semiconductor ***-10 noble metal dichalcogenides(e.g.,PtS_(2),PtSe_(2),PdS_(2),and PdSe_(2))have been listed into two-dimensional(2D)materials toolkit to assemble van der Waals *** them,PdSe_(2) demonstrates advantages of high stability in air,high mobility,and wide tunable ***,the regulation of p-type doping of PdSe_(2) remains unsolved problem prior to fabricating p–n junction as a fundamental platform of semiconductor ***,a quantitative method for the controllable doping of PdSe_(2) is yet to be *** this study,the doping level of PdSe_(2) was correlated with the concentration of Lewis acids,for example,SnCl_(4),used for *** the transfer characteristics,the threshold voltage(the gate voltage corresponding to the minimum drain current)increased after SnCl_(4) soaking ***_(2) transistors were soaked in SnCl_(4) solutions with five different *** threshold voltages from the as-obtained transfer curves were extracted for linear fitting to the threshold voltage versus doping concentration correlation *** study provides in-depth insights into the controllable p-type doping of PdSe_(2).It may also push forward the research of the regulation of conductivity behaviors of 2D materials.

关键词： two-dimensional(2D)materials Lewis acid treatment p-type doping field-effect transistors transfer characteristic

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Applications of 2D-Layered Palladium Diselenide and Its van der Waals Heterostructures in Electronics and Optoelectronics

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Nano-Micro Letters 2021年第9期13卷 292-343页

作者： Yanhao Wang Jinbo Pang Qilin Cheng Lin Han Yufen Li Xue Meng Bergoi Ibarlucea Hongbin Zhao Feng Yang Haiyun Liu Hong Liu Weijia Zhou Xiao Wang Mark HRummeli Yu Zhang Gianaurelio Cuniberti Institute of Marine Science and Technology Shandong UniversityQingdao 266237People’s Republic of China College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006People’s Republic of China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhou 215006People’s Republic of China Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie Sklodowskiej 3441-819 ZabrzePoland Institute for Complex Materials IFW Dresden 20 Helmholtz Strasse01069 DresdenGermany Institute of Environmental Technology VŠB-Technical University of Ostrava 17.listopadu 15Ostrava 70833Czech Republic Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanShandongJinan 250022People’s Republic of China State Key Laboratory of Crystal Materials Center of Bio and Micro/Nano Functional MaterialsShandong University27 Shandanan RoadJinan 250100People’s Republic of China Department of Chemistry Guangdong Provincial Key Laboratory of Catalytic ChemistrySouthern University of Science and TechnologyShenzhenGuangdong 518055People’s Republic of China State Key Laboratory of Advanced Materials for Smart Sensing GRINM Group Co.Ltd.Xinwai Street 2Beijing 100088People’s Republic of China Shenzhen Institutes of Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences1068 Xueyuan AvenueShenzhen University TownShenzhen 518055People’s Republic of China Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität Dresden01069 DresdenGermany Center for Advancing Electronics Dresden Technische Universität Dresden01069 DresdenGermany Dresden Center for computational Materials Science Technische Universität Dresden01062 DresdenGermany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität Dresden01062 Dr

The rapid development of two-dimensional(2D)transition-metal dichalcogenides has been possible owing to their special structures and remarkable *** particular,palladium diselenide(PdSe_(2))with a novel pentagonal structure and unique physical characteristics have recently attracted extensive research ***,tremendous research progress has been achieved regarding the physics,chemistry,and electronics of PdSe_(2).Accordingly,in this review,we recapitulate and summarize the most recent research on PdSe_(2),including its structure,properties,synthesis,and ***,a mechanical exfoliation method to obtain PdSe_(2) nanosheets is introduced,and large-area synthesis strate-gies are explained with respect to chemical vapor deposition and metal ***,the electronic and optoelectronic properties of PdSe_(2) and related hetero-structures,such as field-effect transistors,photodetectors,sensors,and thermoelec-tric devices,are ***,the integration of systems into infrared image sensors on the basis of PdSe_(2) van der Waals heterostructures is ***,future opportunities are highlighted to serve as a general guide for physicists,chemists,materials scientists,and ***,this com-prehensive review may shed light on the research conducted by the 2D material community.

关键词： Palladium diselenide nTMDC Synthesis Field-effect transistors Photodetectors Sensors

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X-ray imaging of 30 year old wine grape wood reveals cumulative impacts of rootstocks on scion secondary growth and Ravaz index

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Horticulture Research 2023年第1期10卷 31-44页

作者： ZoëMigicovsky Michelle Y.Quigley Joey Mullins Tahira Ali Joel F.Swift Anita Rose Agasaveeran Joseph D.Dougherty Brendan Michael Grant Ilayda Korkmaz Maneesh Reddy Malpeddi Emily L.McNichol Andrew W.Sharp Jackie L.Harris Danielle R.Hopkins Lindsay M.Jordan Misha T.Kwasniewski R.Keith Striegler Asia L.Dowtin Stephanie Stotts Peter Cousins Daniel H.Chitwood Plant Foodand Environmental SciencesFaculty of AgricultureDalhousie UniversityTruroNova ScotiaB2N 5E3Canada Department of Horticulture Michigan State UniversityEast LansingMI48823USA College of Natural Science Michigan State UniversityEast LansingMI48823USA Department of Neuroscience Michigan State UniversityEast LansingMI48823USA Department of Biology Saint Louis UniversitySt.LouisMO63103USA Department of Physics and Astronomy Michigan State UniversityEast LansingMI48823USA Department of computational Mathematics Science&EngineeringMichigan State UniversityEast LansingMI48823USA College of Engineering Michigan State UniversityEast LansingMI48823USA College of Social Science Michigan State UniversityEast LansingMI48823USA Department of Economics Michigan State UniversityEast LansingMI48823USA Department of Biochemistry and Molecular Biology Michigan State UniversityEast LansingMI48823USA College of Arts and Letters Michigan State UniversityEast LansingMI48823USA E.&J.Gallo Winery AcampoCA95220USA Current affiliation:Constellation Brands SoledadCA93960USA Department of Food Science The Pennsylvania State UniversityState CollegePA16803USA Department of Forestry Michigan State UniversityEast LansingMI48823USA Department of Agriculture Foodand Resource SciencesUniversity of Maryland Eastern ShorePrincess AnneMD21853USA Department of Natural Sciences University of Maryland Eastern ShorePrincess AnneMD21853USA E.&J.Gallo Winery ModestoCA95354USA Department of Biology Acadia UniversityWolfvilleNova ScotiaB4P 2R6Canada

Annual rings from 30 year old vines in a California rootstock trial were measured to determine the effects of 15 different rootstocks on Chardonnay and Cabernet Sauvignon *** traits measuring vegetative growth,yield,berry quality,and nutrient uptake were collected at the beginning(1995 to 1999)and end(2017 to 2020)of the lifetime of a vineyard initially planted in 1991 and removed in 2021.X-ray Computed Tomography(CT)was used to measure ring widths in 103 *** width was modeled as a function of ring number using a negative exponential *** and late wood ring widths,cambium width,and scion trunk radius were correlated with 27 *** of annual ring width shows that scions alter the width of the first rings but that rootstocks alter the decay of later rings,consistently shortening ring width throughout the lifetime of the *** index,juice pH,photosynthetic assimilation and transpiration rates,and instantaneous water use efficiency are correlated with scion trunk ***,our research indicates that rootstocks modulate secondary growth over years,altering physiology and agronomic *** act in similar but distinct ways from climate to modulate ring width,which borrowing techniques from dendrochronology,can be used to monitor both genetic and environmental effects in woody perennial crop species.

关键词： rings lifetime removed

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