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A Real-time Prediction system for Molecular-level information of Heavy Oil Based on Machine Learning

China Petroleum Proces.ing & Petrochemical Technology 2024年第2期26卷 121-134页

作者： Yuan Zhuang Wang Yuan Zhang Zhibo Yuan Yibo yang Zhe Xu Wei Lin yang Yan Hao Zhou Xin Zhao Hui yang Chaohe state key Laboratory of Chemical safety SINOPEC Research Institute of Safety Engineering Co.LtdQingdaoShandong 266000People’s Republic of China state key Laboratory of Heavy Oil Proces.ing China University of PetroleumQingdaoShandong 266580People’s Republic of China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdaoShandong 266100People’s Republic of China

Acquiring accurate molecular-level information about petroleum is crucial for refining and chemical enterprises to implement the“selection of the optimal proces.ing route”*** the development of data prediction systems represented by machine learning,it has become pos.ible for real-time prediction systems of petroleum fraction molecular information to replace analyses such as gas chromatography and mass ***,the biggest difficulty lies.in acquiring the data required for training the neural *** address these issues,this work proposes an innovative method that utilizes the Aspen HYsYs and full two-dimensional gas chromatography-time-of-flight mass spectrometry to establish a comprehensive training ***,a deep neural network prediction model is developed for heavy dis.illate oil to predict its composition in terms of molecular *** training,the model accurately predicts the molecular composition of catalytically cracked raw oil in a *** validation and test sets exhibit R2 values of 0.99769 and 0.99807,respectively,and the average relative error of molecular composition prediction for raw materials of the catalytic cracking unit is less than 7%.Finally,the sHAP(sHapley Additive ExPlanation)interpretation method is used to disclose the relations.ip among different variables by performing global and local weight comparisons and correlation analyses.

关键词： heavy dis.illate oil molecular composition deep learning sHAP interpretation method

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A facile strategy for large-scale production of 2D nanosheets exfoliated by three-roll milling

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Journal of Advanced Ceramics 2024年第1期13卷 11-18页

作者： Xin Wang yang Xia Juntong Huang Yao su Zhi Chen Linlin Chen Zhaohui Wu Zhijun Feng Huiyong yang Xibao Li school of Materials s.ience and Engineering Nanchang Hangkong UniversityNanchang 330063China

Two-dimensional(2D)nanomaterials,such as graphene,Mos_(2),and MAX,have attracted increasing research attention in recent years due to their unique structural and performance ***,their complex production processes and equipment requirements are significant issues affecting their widespread ***,with an exfoliation strategy using three-roll milling,we present a simple,cost-effective,and extensible method to produce multilayer graphene,BN,Mos_(2),and Ti_(3)AlC_(2) *** roller and phenolic resin created three kinds of forces on the layered 2D materials.i.e.,shear forces,compres.ive forces,and adhesive forces,which exfoliated layered materials from their edges and surfaces.into ***,the exfoliated materials were ultrasonically washed with alcohol,treated with ultrasonic vibration,and centrifuged to obtain 2D *** easy operation and high yield are attractive for research based on the construction of high-performance 2D nanosheet-based devices at low ***,the obtained multilayer graphene and Mos_(2) nanosheets were used as anode materials of sodium/potas.ium-ion batteries,respectively,to test their electrochemical *** performances are obtained compared with their primary bulk materials.

关键词： two-dimensional(2D)nanosheets exfoliation three-roll milling(TRM) sodium/potas.ium-ion batteries

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Ribosome-ins.ired electrocatalysts.inducing preferential nucleation and growth of three-dimensional lithium sulfide for high-performance lithium-sulfur batteries

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Journal of Energy Chemistry 2024年第7期94卷 517-526页

作者： Zhen Wu Wenfeng He Jiahui yang Yunuo Gu Ruiqi yang Yiran sun Jiajia Yuan Xin Wang Junwu Zhu Yongsheng Fu key Laboratory for soft Chemistry and Functional Materials of Ministry of Education Nanjing University of Science and TechnologyNanjing 210094JiangsuChina school of Energy and Power Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina FEB Res.inst Far East BatteryWuxi 214200JiangsuChina

Nucleation of lithium sulfide(Li_(2)s.induced by electrocatalysts plays a crucial role in mitigating the shut-tle ***,short-chain polysulfides on electrocatalysts surfaces tend to re-dissolve into elec-trolytes,delaying Li_(2)s supersaturation and its *** this study,we draw ins.iration from the ribosome-driven protein synthesis process.in cells to prepare ultrasmall nitrogen-doped Mos_(2) nanocrys-tals anchored on porous nitrogen-doped carbon networks(N-Mos_(2)-NC)***,the ex-situ sEM demonstrates that ribosome-ins.ired N-Mos_(2)-NC electrocatalysts.induce early nucleation and rapid growth of three-dimensional Li_(2)s during *** calculations reveal that the Li-s bond length in N-Mos_(2)-Li_(2)s(100)is shorter,and the corresponding interfacial formation energy is lower than in Mos_(2)-Li_(2)s(100).This accelerated conversion of lithium polysulfides to Li_(2)s can enhance the utilization of active substances and inhibit the shuttle *** study highlights the potential of ribosome-ins.ired N-Mos_(2)-NC in improving the electrochemical stability of Li-s batteries,providing valuable insights for future electrocatalyst design.

关键词： Lithium-sulfur batteries Electrocatalysts Nanocrystals Ribosome-ins.ired Nucleation and growth

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Composite structure Al_(2)O_(3)/Al_(2)O_(3)-YAG:Ce/YAG ceramics with high color spatial uniformity for white laser lighting

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Journal of Advanced Ceramics 2024年第2期13卷 189-197页

作者： Pengfei sang Le Zhang Jian kang Mingzhou Li s.iwei Chen Peng yang Bingheng sun yang Li Wieslaw strek Hao Chen Jiangsu key Laboratory of Advanced Laser Materials and Devices School of Physics and Electronics EngineeringJiangsu Normal UniversityXuzhou 221116China Jiangsu Xiyi Advanced Materials Research ins.itute of industrial Technology Xuzhou 221400China Xuzhou EAGLED Technology Co. Ltd.Xuzhou 221116China Xuzhou kangna Advanced Materials Technology Co. Ltd.Xuzhou 221116China Xuzhou Fuchang Electronic Technology Co. Ltd.Xuzhou 221116China shanghai ins.itute of Optics Fine Mechanics Chinese Academy of SciencesShanghai 201800China school of Material s.ience and Engineering Shanghai Institute of TechnologyShanghai 201418China state key Laboratory of Crystal Materials Shandong UniversityJinan 250100China ins.itute of Low Temperature and structure Research Polish Academy of SciencesWroclaw 50-422Poland

Composite ceramic phosphor(CCP)is a candidate light-conversion material to obtain the high-quality laser lighting *** based on the trans.is.ive configuration model could not simultaneously meet the requirements of angular color uniformity and high thermal *** this study,a novel composite structure ceramic was designed,including Al_(2)O_(3)-YAG:Ce/YAG layered ceramic with a size of 1 mm×1 mm for lighting,and Al_(2)O_(3) ceramic(φ=16.0 mm)was used as the wrapping material due to its outstanding thermal *** prepared ceramics exhibited excellent thermal performance and no yellow ring *** this design,we achieved the match of the intensity distribution of the blue and yellow lights,resulting in a high angular color uniformity of 0.9 with a view angle of±80°.All ceramics showed no luminous saturation phenomenon,even the laser power density was.increased up to 47.51 W/mm^(2).A high-brightness white-light source with a luminous flux of 618 lm,a luminous efficiency of 126 lm/W,a CCT of 6615 k,and a CRi of 69.9 was obtained in the trans.is.ive *** particular,the surface temperature of the ceramic was as low as 74.1℃ under a high laser radiation(47.51 W/mm^(2)).These results.indicate that Al_(2)O_(3)/Al_(2)O_(3)-YAG:Ce/YAG composite structure ceramic is a promising luminescent material in the high-power laser lighting applications.

关键词： Al_(2)O_(3)/Al_(2)O_(3)-YAG:Ce/YAG angular color uniformity high thermal stability high-power laser lighting

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A versatile model with three-dimensional triangular lattice for unconventional transport and various topological effects

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National s.ience Review 2024年第1期11卷 204-214页

作者： Jing-yang You Gang su Yuan Ping Feng Department of Physics National University of Singapore kavli ins.itute for Theoretical s.iences and CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Centre for Advanced 2D Materials National University of Singapore

The finite Berry curvature in topological materials can induce many subtle phenomena, such as the anomalous Hall effect(AHE), s.in Hall effect(sHE), anomalous Nernst effect(ANE), non-linear Hall effect(NLHE) and bulk photovoltaic effects. To explore these novel physics as well as their connection and coupling, a precise and effective model should be developed. Here, we propose such a versatile model—a 3D triangular lattice with alternating hopping parameters, which can yield various topological phases.including kagome bands, triply degenerate fermions, double Weyl semimetals and so on. We reveal that this special lattice can present unconventional transport due to its unique topological surface states and the aforementioned topological phenomena, such as AHE, ANE, NLHE and the topological photocurrent effect. in addition, we also provide a number of material candidates that have been synthesized experimentally with this lattice, and discuss two materials, including a non-magnetic triangular system for sHE, NLHE and the s.ift current, and a ferromagnetic triangular lattice for AHE and ANE. Our work provides an excellent platform, including both the model and materials, for the study of Berry-curvature-related physics.

关键词： three-dimensional triangular lattice different topological phases various topological effects Berry curvature

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Comparison Between Threshold Method and Artificial intelligence Approaches for Early Warning of Res.iratory infectious Diseases-Weifang City,shandong Province,China,2020-2023

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China CDC weekly 2024年第26期6卷 635-641,I0010,I0011页

作者： Ting Zhang Liuyang yang Ziliang Fan Xuancheng Hu Jiao yang Yan Luo Dazhu Huo Xuya Yu Ling Xin Xuan Han Jie shan Zhongjie Li Weizhong yang school of Population Medicine and Public Health Chinese Academy of Medical Sciences(CAMS)&Peking Union Medical College(PUMC)BeijingChina state key Laboratory of Res.iratory Health and Multimorbidity BeijingChina key Laboratory of Pathogen infection Prevention and Control(Peking Union Medical College) Ministry of EducationBeijingChina The Third Affiliated Hos.ital of kunming Medical University Yunnan Cancer HospitalKunming CityYunnan ProvinceChina school of Data s.ience Fudan UniversityShanghaiChina Weifang Center for Disease Control and Prevention Weifang CityShandong ProvinceChina school of Health Policy and Management Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijingChina

introduction:Res.iratory infectious diseases,such as.influenza and coronavirus disease 2019(COViD-19),present significant global public health *** emergence of artificial intelligence(Ai)and big data offers opportunities to improve traditional disease surveillance and early warning ***:The study analyzed data from January 2020 to May 2023,comprising influenza-like illness.iLi)statis.ics,Baidu index,and clinical data from *** methodologies were evaluated:the adaptive dynamic threshold method(ADTM)for dynamic threshold adjustments,the machine learning supervised method(MLsM),and the machine learning unsupervised method(MLUM)utilizing anomaly *** comparison focused on sensitivity,specificity,timeliness,and warning ***:ADTM issued 37 warnings with a sensitivity of 71%and a specificity of 85%.MLsM generated 35 warnings,with a sensitivity of 82%and a specificity of 87%.MLUM produced 63 warnings with a sensitivity of 100%and specificity of 80%.The initial warnings from ADTM and MLUM preceded those from MLsM by five *** kappa coefficient indicated moderate agreement between the methods,with values ranging from 0.52 to 0.62(Piscus.ion:The study explores the comparison between traditional methods and two machine learning approaches for early warning *** emphasizes the validation of machine learning’s reliability and underscores the unique advantages of each ***,it stresses the significance of integrating machine learning models with various data sources to enhance public health preparedness and response,alongside acknowledging limitations and the need for broader validation.

关键词： specificity integrating utilizing

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Transient stability Analysis of Grid-connected Converters.in Wind Turbine systems Based on Linear Lyapunov Function and Reverse-time Trajectory

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Journal of Modern Power systems and Clean Energy 2024年第3期12卷 782-790页

作者： Mohammad kazem Bakhs.izadeh sujay Ghosh Guangya yang Łukasz kocewiak Ørsted Wind Power A/s Nesa Allé12820Denmark Technical University of Denmark Anker Engelunds Vej 12800Denmark

As the proportion of converter-interfaced renewable energy resources.in the power system is.increasing,the strength of the power grid at the connection point of wind turbine generators(WTGs.is gradually *** research has shown that when connected with the weak grid,the stability of the traditional grid-following controlled converters will deteriorate,and they are prone to unstable phenomena such as *** to the limitations of linear analysis that cannot sufficiently capture the stability phenomena,transient stability must be *** far,standalone time-domain simulations or analytical Lyapunov stability criteria have been used to inves.igate transient ***,the time-domain simulations have proven to be computationally too heavy,while analytical methods are difficult to formulate for larger systems,require many modelling assumptions,and are often conservative in es.imating the stability *** paper proposes and demonstrates an innovative approach to es.imating the transient stability boundary via combining the linear Lyapunov function and the reverse-time trajectory *** proposed methodology eliminates the need of time-consuming simulations and the conservative nature of Lyapunov *** study brings out the clear dis.inction between the stability boundaries with different post-fault active current ramp rate *** the same time,it provides a new perspective on critical clearing time for wind turbine *** stability boundary is verified using time-domain simulation studies.

关键词： Lyapunov direct method non-autonomous system phase-locked loop(PLL) time trajectory reversal transient stability assessment wind turbine converter system

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Recent advances.in heterogeneous hydrosilylation of unsaturated carbon-carbon bonds

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Chinese Chemical Letters 2024年第6期35卷 71-85页

作者： Heng yang Zhijie Zhou Conghui Tang Feng Chen school of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225002China key Laboratory of Material Chemistry for Energy Conversion and storage Ministry of EducationHubei Key Laboratory of Material Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074China

The hydrosilylation of unsaturated carbon-carbon bonds.is one of the most critical reactions.in silicone industrial *** homogeneous speier's catalyst,karstedt's catalyst,and other noble metal-based catalysts are widely ***,simplifying the separation of the homogeneous catalyst from reaction products and reducing the high cost of precious metals.is s.ill *** review describes the recent development of heterogeneous catalysts for alkene,alkyne,and allene hydrosilylations,which can effectively solve problems.in homogeneous hydrosilylation.

关键词： Hydrosilylation Heterogeneous catalysis Alkenes Alkynes silanes

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Hyperspectral remote sensing identification of marine oil emulsions based on the fusion of spatial and spectral features

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Acta Oceanologica sinica 2024年第3期43卷 139-154页

作者： Xinyue Huang Yi Ma Zongchen Jiang Junfang yang school of Geography and Marine s.ience Nanjing UniversityNanjing 210023China First ins.itute of Oceanography Ministry of Natural ResourcesQingdao 266061China Marine Telemetry Technology innovation Center Ministry of Natural ResourcesQingdao 266061China Harbin ins.itute of Technology Harbin 150001China China University of Petroleum(East China) Qingdao 266061China

Marine oil s.ill emulsions are difficult to recover,and the damage to the environment is not easy to *** use of remote sensing to accurately identify oil s.ill emulsions.is highly important for the protection of marine ***,the spectrum of oil emulsions changes due to different water *** remote sensing and deep learning can use spectral and spatial information to identify different types of oil ***,hyperspectral data can also cause information redundancy,reducing clas.ification accuracy and efficiency,and even overfitting in machine learning *** address these problems,an oil emulsion deep-learning identification model with spatial-spectral feature fusion is established,and feature bands that can dis.inguish between crude oil,seawater,water-in-oil emulsion(WO),and oil-in-water emulsion(OW)are filtered based on a standard deviation threshold–mutual information *** oil s.ill airborne hyperspectral data,we conducted identification experiments on oil emulsions.in different background waters and under different spatial and temporal conditions,analyzed the transferability of the model,and explored the effects of feature band selection and spectral resolution on the identification of oil *** results show the following.(1)The standard deviation–mutual information feature selection method is able to effectively extract feature bands that can dis.inguish between WO,OW,oil s.ick,and *** number of bands was reduced from 224 to 134 after feature selection on the Airborne Visible infrared imaging spectrometer(AViRis)data and from 126 to 100 on the s185 data.(2)With feature selection,the overall accuracy and kappa of the identification results for the training area are 91.80%and 0.86,respectively,improved by 2.62%and 0.04,and the overall accuracy and kappa of the identification results for the migration area are 86.53%and 0.80,respectively,improved by 3.45%and 0.05.(3)The oil emulsion id

关键词： oil emulsions identification hyperspectral remote sensing feature selection convolutional neural network(CNN) spatial-temporal transferability

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Molecular mechanism of flowering time regulation in Bras.ica rapa:similarities and differences with Arabidopsis

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Horticultural Plant Journal 2024年第3期10卷 615-628页

作者： Na Li Rui yang shuxing shen Jianjun Zhao state key Laboratory of North China Crop improvement and Regulation Key Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiCollaborative Innovation Center of Vegetable Industry in HebeiCollege of HorticultureHebei Agricultural UniversityBaodingHebei 071000China

Properly regulated flowering time is pivotal for successful plant *** floral transition from vegetative growth to reproductive growth is regulated by a complex gene regulatory network that integrates environmental signals and internal conditions to ensure that flowering takes place under favorable *** rapa is a diploid Cruciferae species that includes several varieties that are cultivated as vegetable or oil *** time is one of the most important agricultural traits of *** crops because of its.influence on yield and *** transition to flowering in *** is regulated by several environmental and developmental cues,which are perceived by several signaling pathways.including the vernalization pathway,the autonomous pathway,the circadian clock,the thermosensory pathway,and gibberellin(GA)*** signals are integrated to control the expres.ion of floral integrators BrFTs and BrsOC1s to regulate *** this review,we summarized current research advances on the molecular mechanisms that govern flowering time regulation in *** and compare this to what is known in Arabidopsis.

关键词： Flowering time Bras.ica rapa Vernalization Photoperiod

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