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Enhancing crystal integrity and structural rigidity of CsPbBr_(3) nanoplatelets to achieve a narrow colorsaturated blue emission

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Light(Science & Applications) 2024年第5期13卷 985-997页

作者： Qianqian Huang Wenxu Yin Bo Gao Qingsen Zeng Dong Yao Hao Zhang Yinghe Zhao Weijia Zheng Jiaqi Zhang Xuyong Yang Xiaoyu Zhang Andrey L.Rogach Key Laboratory of Automobile Materials MOE School of Materials Science&Engineeringand Jilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy MaterialsJilin UniversityChangchunChina. State Key Laboratory of Supramolecular Structure and Materials College of ChemistryJilin UniversityChangchunChina. State Key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanHubeiChina. Department of Chemistry University of VictoriaVictoriaBCCanada. Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai UniversityShanghaiChina. Department of Materials Science and Engineering and Centre for Functional Photonics(CFP)City University of Hong KongHong Kong S.A.RChina

Quantum-confined CsPbBr_(3) perovskites are promising blue emitters for ultra-high-definition displays,but their soft lattice caused by highly ionic nature has a limited ***,we endow CsPbBr_(3) nanoplatelets(NPLs)with atomic crystal-like structural rigidity through proper surface engineering,by using strongly bound N-dodecylbenzene sulfonic acid(DBSA).A stable,rigid crystal structure,as well as uniform,orderly-arranged surface of these NPLs is achieved by optimizing intermediate reaction stage,by switching from molecular clusters to mono-octahedra,while interaction with DBSA resulted in formation of a Cs_(x)O monolayer shell capping the NPL *** a result,both structural and optical stability of the CsPbBr3 NPLs is enhanced by strong covalent bonding of DBSA,which inhibits undesired phase transitions and decomposition of the perovskite phase potentially caused by ligand ***,rather small amount of DBSA ligands at the NPL surface results in a short inter-NPL spacing in their closely-packed films,which facilitates efficient charge injection and *** photoluminescence of the produced CsPbBr_(3) NPLs is bright(nearly unity emission quantum yield)and peaks at 457 nm with an extremely narrow bandwidth of 3.7 nm at 80 K,while the bandwidth of the electroluminescence(peaked at 460 nm)also reaches a record-narrow value of 15 nm at room *** value corresponds to the CIE coordinates of(0.141,0.062),which meets Rec.2020 standards for ultra-high-definition displays.

关键词： temperature stability narrow

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AI for tribology:Present and future

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Friction 2024年第6期12卷 1060-1097页

作者： Nian YIN Pufan YANG Songkai LIU Shuaihang PAN Zhinan ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA

With remarkable learning capabilities and swift operational speeds,artificial intelligence(AI)can assist researchers in swiftly extracting valuable patterns,trends,and associations from subjective *** behaviors are characterized by dependence on systems,evolution with time,and multidisciplinary *** friction process involves a variety of phenomena,including mechanics,thermology,electricity,optics,magnetics,and so ***,tribological information possesses the distinct characteristics of being multidisciplinary,multilevel,and multiscale,so that the application of AI in tribology is highly *** delineate the scope,classification,and recent trends of AI implementation in tribology,this review embarks on exploration of the tribology research *** comprehensively outlines the utilization of AI in basic theory of tribology,intelligent tribology,component tribology,extreme tribology,bio-tribology,green tribology,and other ***,considering the emergence of"tribo-informatics"as a novel interdisciplinary field,which combines tribology with informatics,this review elucidates the future directions and research framework of"AI for tribology".In this paper,tribo-system information is divided into 5 categories:input information(I),system intrinsic information(S),output information(O),tribological state information(Ts),and derived state information(Ds).Then,a fusion method among 5 types of tribo-system information and different AI technologies(regression,classification,clustering,and dimension reduction)has been proposed,which enables tribo-informatics methods to solve common problems such as tribological behavior state monitoring,behavior prediction,and system *** purpose of this review is to offer a systematic comprehension of tribo-informatics and to inspire new research ideas of ***,it aspires to enhance the efficiency of problem-solving in tribology.

关键词： artificial intelligence(AI) tribology machine learning tribo-informatics AI for tribology

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A systematic framework of constructing surrogate model for slider track peeling strength prediction

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Science China(Technological Sciences) 2024年第10期67卷 3261-3274页

作者： DONG XingJian CHEN Qian LIU WenBo WANG Dong PENG ZhiKe MENG Guang State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China KEIPER Seating Mechanisms Co. Ltd.Soochow 215500China Department of Industrial Engineering and Management Shanghai Jiao Tong UniversityShanghai 200240China

Peeling strength can comprehensively reflect slider track safety and is crucial in car seat safety *** methods for determining slider peeling strength are primarily physical testing and numerical ***,these methods encounter the potential challenges of high costs and overlong time consumption which have not been adequately ***,the efficient and low-cost surrogate model emerges as a promising ***,currently used surrogate models suffer from inefficiencies and complexity in data sampling,lack of robustness in local model predictions,and isolation between data sampling and model *** overcome these challenges,this paper aims to set up a systematic framework for slider track peeling strength prediction,including sensitivity analysis,dataset sampling,and model ***,the interpretable linear regression is performed to identify the sensitivity of various geometric variables to peeling *** on the variable sensitivity,a distance metric is constructed to measure the disparity of different variable ***,the sparsity-targeted sampling(STS)is proposed to formulate a representative ***,the sequentially selected local weighted linear regression(SLWLR)is designed to achieve accurate track peeling strength ***,a quantitative cost assessment of the supplementary dataset is proposed by utilizing the minimum adjacent sample distance as a *** results validate the efficacy of sequential selection and the weighting mechanism in enhancing localization ***,the proposed SLWLR method surpasses similar approaches and other common surrogate methods in terms of prediction performance and data quantity requirements,achieving an average absolute error of 3.3 kN in the simulated test dataset.

关键词： slider track peeling strength surrogate model sensitivity analysis data sampling local weighted linear regression

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Insights into chemoautotrophic traits of a prevalent bacterial phylum CSP1-3, herein Sysuimicrobiota

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National Science Review 2024年第11期11卷 61-75页

作者： Lan Liu Zheng-Han Lian Ai-Ping Lv Nimaichand Salam Jian-Chao Zhang Meng-Meng Li Wei-Min Sun Sha Tan Zhen-Hao Luo Lei Gao Yang Yuan Yu-Zhen Ming Yu-Ting Ou Yang Yu-Xian Li Ze-Tao Liu Chao-Jian Hu Ying Chen Zheng-Shuang Hua Wen-Sheng Shu Brian P.Hedlund Wen-Jun Li Jian-Yu Jiao State Key Laboratory of Biocontrol Guangdong Provincial Key Laboratory of Plant Stress Biology and Southern Marine Science and Engineering Guangdong Laboratory ZhuhaiSchool of Life Sciences Sun Yat-Sen University National Agri-Food Biotechnology Institute School of Earth System Science Institute of Surface-Earth System Science Tianjin University National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and ManagementInstitute of Eco-Environmental and Soil SciencesGuangdong Academy of Sciences State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Xinjiang Institute of Ecology and GeographyChinese Academy of Sciences Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion Department of Environmental Science and EngineeringUniversity of Science and Technology of China Institute of Ecological Science Guangzhou Key Laboratory of Subtropical Biodiversity and BiomonitoringGuangdong Provincial Key Laboratory of Biotechnology for Plant DevelopmentSchool of Life Sciences South China Normal University Guangdong Provincial Key Laboratory of Chemical Pollution South China Normal University School of Life Sciences University of Nevada Las Vegas Nevada Institute of Personalized Medicine University of Nevada Las Vegas

Candidate bacterial phylum CSP1-3 has not been cultivated and is poorly understood. Here, we analyzed 112 CSP1-3 metagenome-assembled genomes and showed they are likely facultative anaerobes, with 3 of 5 families encoding autotrophy through the reductive glycine pathway(RGP), Wood–Ljungdahl pathway(WLP) or Calvin-Benson-Bassham(CBB), with hydrogen or sulfide as electron donors. Chemoautotrophic enrichments from hot spring sediments and fluorescence in situ hybridization revealed enrichment of six CSP1-3 genera, and both transcribed genes and DNA-stable isotope probing were consistent with proposed chemoautotrophic metabolisms. Ancestral state reconstructions showed that the ancestors of phylum CSP1-3 may have been acetogens that were autotrophic via the RGP, whereas the WLP and CBB were acquired by horizontal gene transfer. Our results reveal that CSP1-3 is a widely distributed phylum with the potential to contribute to the cycling of carbon, sulfur and nitrogen. The name Sysuimicrobiota phy. nov. is proposed.

关键词： Sysuimicrobiota phy. nov facultative anaerobes chemoautotrophic metabolisms

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Single-Wavelength 1.9-Tb/s Direct Detection Using TFLN DDMZM and Optical Hilbert Receiver

Single-Wavelength 1.9-Tb/s Direct Detection Using TFLN DDMZM...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024

作者： Zhu, Yixiao Fang, Xiansong Zhou, Lingjun Zhu, Junbo Li, Yunchen Zhou, Xian Zhong, Kangping Lau, Alan Pak Tao He, Zhixue Wang, Lei Hu, Weisheng Li, Ke Zhang, Fan Pengcheng Laboratory Shenzhen China State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing China University of Science and Technology Beijing Beijing China Photonics Research Institute Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Hong Kong State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication System and Networks Peking University Beijing China

ISBN: (纸本)9798350379266

We propose an optical Hilbert direct detection receiver with an all-pass transfer function for carrier-assisted complex-valued double-sideband signal reception. We experimentally demonstrate single-wavelength line rates at 1.94 Tb/s at 300-m SSMF and 1.84 Tb/s at 10-km SSMF using a >100-GHz thin-film LiNbO3 dual-drive Mach-Zehnder modulator. © 2024 IEEE.

关键词： Optical transfer function

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A global comparison of V_(p),V_(s),and V_(p)/V_(s) structures of the mantle lithosphere beneath major cratons

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Science China Earth Sciences 2023年第3期66卷 492-504页

作者： Ehsan BARZGAR Fenglin NIU Shunping PEI State Key Laboratory of Petroleum Resources and Prospecting Unconventional Petroleum Research InstituteChina University of PetroleumBeijing 102249China Department of Earth Environmental and Planetary SciencesRice UniversityHouston 77005TexasUSA State Key Laboratory of Tibetan Plateau Earth System and Resources Environment Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China

Cratons formed due to the specific melting regime of the primitive mantle with elevated mantle temperature during ***,each craton has undergone a distinct evolution history,and some have lost their *** investigate to what degree cratons in comparison with one another have been modified from their analogous initial form,we employed Sn-Pn differential(PSn) traveltimes to derive Vp/Vsratio,which is thought to be related to Mg# of the *** assessed Pn,Sn,and PSn data using three datasets based on epicentral distance:(1) 2°–12°,(2) 2°–7°,and(3) 7°–12°.The results suggest that most cratons show comparable seismic properties with high velocities and low Vp/Vsratio,implying a highly depleted uppermost mantle that resembles the original residue from the partial melt extraction of the primitive mantle during the ***,the Eastern North China Craton(ENCC) displays the lowest P-and S-wave velocities,and noticeable high Vp/Vsratios in all datasets,implying a systematic difference with other *** observation suggests a scenario of total removal of the depleted Archean mantle lithosphere beneath the *** contrast,the Ordos Block located at the western part of the North China Craton(WNCC) shows velocities and Vp/Vsratio comparable with those of the typical cratons,suggesting that it has still maintained its Archean mantle *** Wyoming Craton has a high Vp/Vsratio similar to that of the ENCC and a high Pwave velocity comparable to that of the typical *** features suggest that the Archean mantle lithosphere has been significantly modified rather than totally removed and replaced by a younger fertile *** Indian Craton presents a low Vp/Vsratio and comparatively high velocities at shallow parts of the mantle lithosphere but a high Vp/Vsratio at deeper parts similar to that of the ENCC,suggesting a partial modification of the Indian Craton at deeper parts.

关键词： Craton Craton modification Mantle lithosphere North China Craton Wyoming Craton Indian Craton Vp/Vs ratio Seismic velocity

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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： Intelligence DAO TAO

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Optimal Design of Full-Bridge Three-Level LLC Converter Based on Time-Domain Analysis 2

Optimal Design of Full-Bridge Three-Level LLC Converter Base...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Liu, Zengyang Sun, Kai Yi, Zheyuan Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350313765

Fully DC wind turbine generator system is a promising substitute for conventional AC one. In the system, the LLC step-up converter plays a key role. Mode analysis and time-domain expressions can provide more accurate estimation of the resonant performance than the conventional First Harmonic Analysis method. The circuit works at different modes as the load rate varies. This paper categorizes these resonant behaviors into four modes, with time-domain expressions of each mode obtained. The variation regular of these modes is given and is applied in the program to realize recognizing the working mode automatically. The simulation and experiment have verified the effectiveness of the proposed method. © 2023 IEEE.

关键词： fully DC wind turbine generator system LLC converter mode analysis Pareto Front optimization time-domain expression

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Short-Term Photovoltaic Prediction Based on Transfer Learning and LSTM 7

Short-Term Photovoltaic Prediction Based on Transfer Learnin...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zhang, Tianyu Zheng, Kedi Chen, Qixin Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350345094

With the proposal of carbon peaking and carbon neutrality goals, the proportion of renewable energy generation continues to increase and the number of new photovoltaic power stations is growing rapidly. Accurate photovoltaic power prediction is of great significance for the safe, stable and operation of power system. In order to solve the problem of insufficient historical data of newly constructed PV power plants, this paper proposes a short-term PV power prediction model based on Long Short Term Memory and transfer learning. The model uses meteorological data, numerical weather forecast data and PV power as features. According to the transfer learning theory, the Long Short Term Memory model is pre-trained using the historical data of other previously-built PV power plants, and then a small amount of local operation data is used to fine-adjust the model. Case study based on Hebei open source photovoltaic and meteorological data set proves that the proposed transfer learning model can effectively improve the short-term PV power prediction accuracy, and the MAPE can be improved by up to 15%. © 2023 IEEE.

关键词： Long short-term memory

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Knowledge-driven Target Trajectory Prediction Method for BVR Air Game Mission

Knowledge-driven Target Trajectory Prediction Method for BVR...

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2024 China Automation Congress, CAC 2024

作者： Yang, Xizhong Yuan, Feiran Wu, Minyu Tu, Jingqi Ye, Xinwen Dong, Yiqun State Key Laboratory of Avionics Integration and Aviation System-of Systems Synthesis Shanghai China Department of Aeronautics and Astronautics Fudan University Shanghai China

ISBN: (纸本)9798350368604

Aiming at the high-precision real-time prediction requirements of target trajectory prediction in beyond-visual-range (BVR) air game mission, this paper proposes a method driven by aeronautical domain knowledge of BVR game missions. The target historical intentions and maneuvers are identified based on 2 different time windows respectively. Considering that the target's intention in the BVR game missions does not change drastically in a short time, the future maneuvers are predicted based on the historical intentions and maneuver identification results, and then the predicted future maneuver information is used to assist in realizing target trajectory prediction by long short-term memory (LSTM) neural network. The proposed method was tested based on BVR game mission data collected in a highly realistic simulation environment. The results showed that the method has high prediction accuracy and real-time performance. © 2024 IEEE.

关键词： Trajectories

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