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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Ze Chen Zhihang Fu Rongxin Jiang Yaowu Chen Xian-Sheng Hua Zhejiang University Institute of Advanced Digital Technology and Instrument Zhejiang University Embedded System Engineering Research Center Ministry of Education of China Alibaba DAMO Academy Alibaba Group Zhejiang University the State Key Laboratory of Industrial Control Technology Zhejiang Provincial Key Laboratory for Network Multimedia Technologies

ISBN: (数字)9781728171685

ISBN: (纸本)9781728171692

Based on the framework of multiple instance learning (MIL), tremendous works have promoted the advances of weakly supervised object detection (WSOD). However, most MIL-based methods tend to localize instances to their discriminative parts instead of the whole content. In this paper, we propose a spatial likelihood voting (SLV) module to converge the proposal localizing process without any bounding box annotations. Specifically, all region proposals in a given image play the role of voters every iteration during training, voting for the likelihood of each category in spatial dimensions. After dilating alignment on the area with large likelihood values, the voting results are regularized as bounding boxes, being used for the final classification and localization. Based on SLV, we further propose an end-to-end training framework for multi-task learning. The classification and localization tasks promote each other, which further improves the detection performance. Extensive experiments on the PASCAL VOC 2007 and 2012 datasets demonstrate the superior performance of SLV.

关键词： Proposals Training Detectors Object detection Task analysis Feature extraction Computer vision

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Thermal pyrolysis of Si@ZIF-67 into Si@N-doped CNTs towards highly stable lithium storage

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Science Bulletin 2020年第6期65卷 452-459,M0003页

作者： Dun Jin Xianfeng Yang Yuqing Ou Mumin Rao Yaotang Zhong Guangmin Zhou Daiqi Ye Yongcai Qiu Yuping Wu Weishan Li School of Chemistry South China Normal UniversityGuangzhou 510006China Analytical and Testing Centre South China University of TechnologyGuangzhou 510640China Zhao Qing Outstanding Power Battery System Co. Ltd.Zhaoqing 526238.China Department of Materials Science and Engineering Stanford UniversityStanfordCA 94305USA Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control School of Environment and EnergySouth China University of TechnologyGuangzhou 510006China State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640China National and Local Joint Engineering Research Center of MPTES in High Energy and Safety LIBs Engineering Research Center of MTEES(Ministry of Education)and Key Laboratory of ETESPG(GHEI)South China Normal UniversityGuangzhou 510006China

Silicon is attracting considerable attention as an active anode material for advanced lithium-ion batteries due to its ultrahigh theoretical capacity. However, the reversible utilization of silicon-based anode materials is still hindered by the rapid capacity decay, as a consequence of the huge volume change of silicon during cycling. Herein, we use a Co-zeolitic imidazole framework(ZIF-67) to prepare silicon-wrapped nitrogen-doped carbon nanotubes(Si@N-doped CNTs) by controllable thermal pyrolysis. The asprepared nanocomposites can effectively prevent pulverization and accommodate volume fluctuations of silicon during cycling. It can deliver a highly reversible capacity of 1100 m Ah g-1 even after 750 cycles at a current density of 1000 m A g-1. As confirmed by an in situ transmission electron microscopy experiment, the remarkable electrochemical performance of Si@N-doped CNTs is attributed to the high electronic conductivity and flexibility of cross-linked N-doped CNTs network as a cushion to mitigate the mechanical stress and volume expansion. Furthermore, a full cell consisting of Si@N-doped CNTs anode and Li Fe PO4 cathode delivers a high reversible capacity of 1264 m Ah g-1 and exhibits good cycling stability(>85% capacity retention) over 140 cycles at 1/4 C(1 C = 4000 m A g-1) rate.

关键词： N-doped CNTs In situ growth Silicon nanoparticles Lithium storage Cyclic stability

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf Md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

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Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

Sources of atmospheric glyoxal and methylglyoxal in Beijing ...

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第二十四届大气污染防治技术研讨会

作者： Xionghui Qiu Shuxiao Wang Qi Ying Lei Duan Jia Xing Jingyuan Cao Di Wu Xiaoxiao Li Chengzhi Xing Xiao Yan Cheng Liu Jiming Hao MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Zachry Department of Civil Engineering Texas A&M University College Station School of Earth and Space Sciences University of Science and Technology of China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Environmental Protection Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China

Atmospheric glyoxal(GLY) and methylglyoxal(MGLY) are key precursors of secondary organic aerosol(SOA). However, anthropogenic emissions of GLY and MGLY and their contribution to surface GLY and MGLY concentrations, as well as the secondary organic aerosol(SOA) formation, are not well quantified. By developing an emission inventory of anthropogenic GLY and MGLY and improving Community Multiscale Air Quality Model(CMAQ) with SOA formation from irreversible surface uptake of GLY and MGLY, as well as a precursor-origin resolved technique, we quantified the source contributions of GLY and MGLY and their impact on wintertime SOA formation in Beijing, China. The total emissions of GLY and MGLY in Beijing in 2017 are 1.1×10～4 kmol and 7.0×10～3 kmol, respectively. Anthropogenic primary emissions are found to be the dominant contributor to GLY and MGLY concentrations(～74% for GLY and ～63% for MGLY). Anthropogenic primary emissions of GLY and MGLY contributes to 30% of GLY/MGLY SOA daily average concentration and accounts for up to 45% of nighttime GLY/MGLY SOA. The study suggests that the anthropogenic GLY and MGLY emissions, mainly from gasoline vehicles and cooking, are important for SOA formation and shall be strictly controlled in Chinese megacities.

关键词： SOA Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

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Collaborative Optimization of Cyber Physical Social systems for Urban Transportation Based on Knowledge Automation

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IFAC-PapersOnLine 2020年第5期53卷 572-577页

作者： Gang Xiong Xiaoyu Chen Nan Shuo Yisheng Lv Fenghua Zhu Tianci Qu Peijun Ye State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing The Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China Graduate School of System Design Tokyo Metropolitan University Tokyo 191-0065 Japan

The integration of signals from physical, social and cyber spaces, known as Cyber-Physical-Social systems (CPSS), is a new research paradigm for urban transportation, where the traffic control and management (C&M) is collaborative optimized among the three sub-systems. Though some technologies and optimization methods have been studied since its proposition, there is a lack of a systemic architecture as well as an overall implementation about how to efficiently exploit the social signals. For this reason, this paper proposes a general framework of CPSS for urban transportation and presents a feasible solution for traffic optimization based on knowledge automation. The specific implementation includes basic modeling of CPSS, knowledge evolution and reasoning, and collaborative optimization of C&P strategies. As a remarkable highlight, the influence of both individual activities and social learning is concerned during knowledge evolution and reasoning part. A case study from the application in the city of Dongguan is also given to validate our proposed framework and methods, showing that they can efficiently improve the average speed of the actual transportation.

关键词： CPSS knowledge automation urban transportation Collaborative Optimization

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Cyber-Physical-Social systems for Smart City: An Implementation Based on Intelligent Loop

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IFAC-PapersOnLine 2020年第5期53卷 501-506页

Cyber-Physical-Social systems (CPSS) provides a novel perspective for constructing “Smart City”, which is also known as the Human-Machine-Things-system (HMTS), focusing on the fusion of ternary space: social network of human society, network of machines and the Internet of things. In this paper, we propose a specific implementation framework of CPSS for Smart City based on intelligent loops, including basic modeling and interactive fusion, state perception and cognition, and adaptive learning. On this basis, an overall architecture of the CPSS platform is designed, which is applied in the urban transportation management in Hangzhou. The application results demonstrate that the intelligent loop could optimize the control and management strategies for actual urban transportation.

关键词： CPSS Intelligent Loop Human-Cyber-Physical Ternary Space

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A Hierarchical Bidirectional LSTM Sequence Model for Extractive Text Summarization in Electric Power systems

A Hierarchical Bidirectional LSTM Sequence Model for Extract...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Wei Jiang Yunfeng Zou Ting Zhao Qiang Zhang Yinglong Ma State Grid Corporation of China Beijing China Marketing Service Center of State Grid Jiangsu Electric Power Co. Ltd Global Energy Interconnection Research Institute Co. Ltd Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728184463

ISBN: (纸本)9781728184470

With the increasing volume of documents in electric power systems, it is urgent and necessary for electric power systems managers to efficiently analyze the massive documents and make reasonable decisions by capturing the main points of the document as quickly as possible. The text summarization technique provides a feasible way to efficiently analyze and obtain the main contents residing in the document. In this paper, we present a Hierarchical Bidirectional Long Term Short Memory Sequence model for extractive text summarization in electric power systems in order to efficiently and accurately summarize electric power documents and obtain a summary of the document. Our model is divided into four layers including the embedding layer, the word layer, the sentence layer, and the classification layer in a hierarchical manner. The related experiments were made based on the electric power data set that contains more than 2000 electrical papers, in comparison with the existing approaches based on the CRF, CNN, and RNN models. The experimental results show that the performance based on our approach is superior to the three approaches against the three performance indexes ROUGE-1, ROUGE-2, and ROUGE-L.

关键词： Power systems Feature extraction Mathematical model Logic gates Task analysis Data mining Bit error rate

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Multi-UAV Formation controller Design with Uncertain Dynamics

Multi-UAV Formation Controller Design with Uncertain Dynamic...

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第三十八届中国控制会议

作者： Jialong Zhang Jianguo Yan Bing Xiao Pu Zhang Ge Yang Maolong Lv School of Automation Northwestern Polytechnical University System Engineering Research Institute China State ShipBuilding Corporation Delft Center for Systems and Control Delft University of Technology

Aiming at the flight-instability of the closed-loop system in windy field of three fixed-wing unmanned aerial vehicles(UAVs) formation. In this paper, we design a multi-UAV formation controller to address the flight-stability of multiple UAVs. The problem of flight-stability can be converted to the analysis of dynamic response and steady-state error. The robust control compared with thin membrane control method, it can realize the high speed and close cooperative formation of precision combat. Adding thin membrane is not only capable of reducing the body vibration and steady-state tracking error, but also owns better robustness. The proposed controller can control leader's speed so that follower can track leader in the case of decoupling, while maintaining the consensus of relative speed. The simulation results show that the designed controller integrates the advantages of robust control and thin membrane vibration attenuation. Moreover, this control method can not only improve the response speed, convergence time and stability of the control system, but also realize the aim of the precision cooperative combat ability.

关键词： UAVs formation Flight-instability Thin membrane Body vibration Steady-state error

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Increased terrestrial ecosystem carbon storage associated with global utility-scale photovoltaic installation

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Nature Geoscience 2025年 1-8页

作者： Qingrui Wang Lintao Shao Xinyi Tang Qing Yang Kai Wang Shuchang Tang Ondřej Mašek Gesa Meyer Jan Kleissl Liwei Zhang Mudan Wang Weisheng Wang Stephen Sitch State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Wuhan China Department of New Energy Science and Engineering School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan China China-EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan China John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing China UK Biochar Research Centre School of GeoSciences University of Edinburgh Edinburgh UK Climate Research Division Environment and Climate Change Canada Victoria British Columbia Canada Department of Mechanical and Aerospace Engineering and Center for Energy Research University of California San Diego CA USA State Key Laboratory of Estuarine and Coastal Research East China Normal University Shanghai China Research Institute for Eco-civilization Chinese Academy of Social Sciences Beijing China State Key Laboratory of the Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Faculty of Environment Science and Economy University of Exeter Exeter UK

Utility-scale photovoltaic (USPV) stands out as one of the foremost renewable energy technologies crucial for achieving global climate targets, owing to its low carbon footprint. While individual case studies exist, a comprehensive global analysis of the impacts of USPV deployment on land-cover changes and subsequent carbon pool dynamics across diverse ecosystems remains lacking. Here we show that worldwide deployment of USPV plants between 2000 and 2018 would increase the carbon pool of the hosting ecosystem by a total of 2.1 TgC over their lifespans, as revealed by the ensemble mean of multiple datasets. Although the carbon pool changes associated with global USPV deployment currently contribute approximately\({15.9}_{-5.8}^{+1.0}\%\)(\({{{\mathrm{ensemble}}\; {\mathrm{mean}}}}_{-{{\mathrm{difference}}\; {\mathrm{to}}\; {\mathrm{percentile}}}\,25}^{+{{\mathrm{difference}}\; {\mathrm{to}}\; {\mathrm{percentile}}}\,75}\)) (or an average absolute carbon footprint of approximately\({10.5}_{-3.8}^{+0.5}\,{\mathrm{g}}\)CO2-equivalent per kilowatt-hour) of the carbon footprint of USPV plants, this share is projected to increase by around 7-fold by 2050, driven primarily by decreasing photovoltaic manufacturing emissions. Notably, optimizing land management strategies can potentially enhance carbon density in the hosting ecosystem of existing USPV plants by approximately\({3.0}_{-0.4}^{+3.7}\,{\mathrm{kgC}}\,{\mathrm{m}}^{-2}\), thereby facilitating an average reduction of\({4.3}_{-0.2}^{+9.3}\%\)in the carbon footprint of these USPV plants.

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Mechanistic Understanding of Efficient Polyethylene Hydrocracking over Two-Dimensional Platinum-Anchored Tungsten Trioxide

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Angewandte Chemie 2023年第40期135卷

作者： Qimin Zhou Dr. Deliang Wang Prof. Dr. Qingyue Wang Dr. Kailin He Prof. Dr. Khak Ho Lim Prof. Dr. Xuan Yang Prof. Dr. Wen-Jun Wang Prof. Dr. Bo-Geng Li Prof. Dr. Pingwei Liu State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University 866 Yuhangtang Rd Hangzhou 310027 Zhejiang P. R. China Institute of Zhejiang University-Quzhou 99 Zheda Rd Quzhou 324000 Zhejiang P. R. China Key Laboratory of Hunan Province for the Synergetic Control and Resource Reuse of the Multi-Pollutants of Flue Gas National Sintering and Pelletizing Equipment System Engineering Research Center Zhongye Changtian International Engineering Co. Ltd. Changsha 410205 Hunan P. R. China

Chemical upcycling of polyethylene (PE) can convert plastic waste into valuable resources. However, engineering a catalyst that allows PE decomposition at low temperatures with high activity remains a significant challenge. Herein, we anchored 0.2 wt.% platinum (Pt) on defective two-dimensional tungsten trioxide (2D WO 3 ) nanosheets and achieved hydrocracking of high-density polyethylene (HDPE) waste at 200–250 °C with a liquid fuel (C 5–18 ) formation rate up to 1456 g products ⋅ g metal species −1 ⋅ h −1 . The reaction pathway over the bifunctional 2D Pt/WO 3 is elucidated by quasi-operando transmission infrared spectroscopy, where (I) well-dispersed Pt immobilized on 2D WO 3 nanosheets trigger the dissociation of hydrogen; (II) adsorption of PE and activation of C−C cleavage on WO 3 are through the formation of C=O/C=C intermediates; (III) intermediates are converted to alkane products by the dissociated H. Our study directly illustrates the synergistic role of bifunctional Pt/WO 3 catalyst in the hydrocracking of HDPE, paving the way for the development of high-performance catalysts with optimized chemical and morphological properties.

关键词： 2D Pt/WO3 HDPE Activation Hydrogen Transfer PE Hydrocracking Quasi-Operando TIR Spectroscopy

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