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Optimizing band structure of CoP nanoparticles via rich-defect carbon shell toward bifunctional electrocatalysts for overall water splitting

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Carbon Energy 2023年第3期5卷 112-125页

作者： Juncheng Wu zhe‐fan wang Taotao Guan Guoli Zhang Juan Zhang Jie Han Shengqin Guan Ning wang Jianlong wang Kaixi Li CAS Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy of SciencesTaiyuanShanxiPR China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingPR China Institute Energy Innovation College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuanShanxiPR China

Transition-metal phosphides(TMPs)with high catalytic activity are widely used in the design of electrodes for water ***,a major challenge is how to achieve the trade-off between activity and stability of ***,a novel method for synthesizing CoP nanoparticles encapsu-lated in a rich-defect carbon shell(CoP/DCS)is developed through the self-assembly of modified polycyclic aromatic *** graft and removal of high-activity C-N bonds of aromatic molecules render the controllable design of crystallite defects of carbon *** density functional theory calculation indicates that the carbon defects with unpaired electrons could effectively tailor the band structure of *** from the improved activity and corrosion resistance,the CoP/DCS delivers outstanding difunctional hydrogen evolution reaction(88 mV)and oxygen evolution reaction(251 mV)performances at 10 mA cm^(−2)current ***,the coupled water electrolyzer with CoP/DCS as both the cathode and anode presents ultralow cell voltages of 1.49 V to achieve 10 mA cm^(−2)with long-time *** strategy to improve TMPs electrocatalyst with rich-DCS and heterogeneous structure will inspire the design of other transition metal compound electrocatalysts for water splitting.

关键词： band structure bifunctional electrocatalysts CoP nanoparticles overall water splitting rich‐defect carbon

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Combined DFT and experiment:Stabilizing the electrochemical interfaces via boron Lewis acids

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Journal of Energy Chemistry 2021年第8期30卷 100-107,I0004页

作者： zhe-fan wang Zonglin Yi Aziz Ahmad Lijing Xie Jing-Peng Chen Qingqiang Kong fangyuan Su Da-Wei wang Cheng-Meng Chen CAS Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences100049 BeijingChina University of Chinese Academy of Sciences 100049 BeijingChina School of Chemical Engineering The University of New South WalesSydney 2052Australia

The incorporation of boron into carbon material can significantly enhance its capacity ***,the origin of the promotion effect of boron doping on electrochemical performances is still unclear,in part due to the inadequate exposure of boron configurations resulting from the complexity of traditional carbon *** overcome this issue,herein,a series of boron-doped graphene with highly-exposed boron configurations are prepared by tuning annealing *** the correlation between boron configurations and the electrochemical performances is *** combination of density-functional theory(DFT)computation and NH3-TPD/Py-FTIR indicates that the BCO_(2)configuration formed on the surface of graphene is easier to accept lone-pair electrons than BC_(2)O and BC_(3)configurations due to the stronger Lewis *** an electronic structure can effectively reduce the number of unstable electron donors and stabilize the electrochemical interface,which is proved by NMR,and critical for improving the electrochemical *** experiments confirm that the optimized BG800 with the largest amount of BCO_(2)configuration presents ultralow leak current,improved cyclic stability,and better rate performance in SBPBF4/*** work would provide an insight into the design of high-performance boron-doped carbon materials towards energy storage.

关键词： Boron doped graphene Lewis acid Electrochemical interfaces DFT

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Effect of N-doping-derived solvent adsorption on electrochemical double layer structure and performance of porous carbon

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Journal of Energy Chemistry 2023年第5期80卷 120-127,I0004页

作者： zhe-fan wang Cheng Tang Qian Sun Ya-Lu Han Zhi-Jian wang Lijing Xie Shou-Chun Zhang fang-Yuan Su Cheng-Meng Chen CAS Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001ShanxiChina University of Chinese Academy of Sciences Bejing 100049China Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBejing 100084Chind

N-doped porous carbon has been extensively investigated for broad electrochemical *** performance is significantly impacted by the electrochemical double layer(EDL),which is material dependent and hard to *** understanding of doping-derived EDL structure hinders insight into the structure-performance relations and the rational design of high-performance ***,we analyzed the mass and chemical composition variation of EDL within electrochemical operation by electrochemical quartz crystal microbalance,in-situ X-ray photoelectron spectroscopy,and time-offlight secondary ion mass *** found that N-doping triggers specifically adsorbed propylene carbonate solvent in the inner Helmholtz plane(IHP),which prevents ion rearrangement and enhances the migration of ***,this specific adsorption accelerated solvent decomposition,rendering rapid performance degradation in practical *** work reveals that the surface chemistry of electrodes can cause specific adsorption of solvents and change the EDL structure,which complements the classical EDL theory and provide guidance for practical applications.

关键词： Carbon materials Electrochemical double layer Electrochemical quartz crystal microbalance In-situ X-ray photoelectron spectroscopy N-doping

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神经先验增强的抗干扰鲁棒自动驾驶导航

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计算机应用研究 2025年第1期42卷 111-116页

作者：穆凡刘哲上海交通大学电子信息与电气工程学院上海200240

自动驾驶车辆广泛依赖感知系统来进行城市导航和环境理解,然而现有研究大多局限于良好的城市驾驶环境,在恶劣天气以及外部干扰下导致的传感器故障和感知失灵等严重影响现有自动驾驶系统的实际落地。为此提出了一种基于神经先验的自动驾... 详细信息

自动驾驶车辆广泛依赖感知系统来进行城市导航和环境理解,然而现有研究大多局限于良好的城市驾驶环境,在恶劣天气以及外部干扰下导致的传感器故障和感知失灵等严重影响现有自动驾驶系统的实际落地。为此提出了一种基于神经先验的自动驾驶信息重建算法,通过对大范围自动驾驶场景的隐式建模密集地存储场景几何先验,并基于注意力机制结合隐式神经先验进行自动驾驶感知信息的鲁棒重建,最终提出一个通用的自动驾驶导航鲁棒性增强框架。在CARLA自动驾驶模拟器仿真实验中,该算法显著提升了多个现有自动驾驶模型在外部干扰下的导航性能,使自动驾驶模型在攻击和干扰下的性能衰减率从82.74%下降到了8.84%,证明了所提方法的通用性和有效性。

关键词：自动驾驶鲁棒性神经辐射场

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发酵乳杆菌发酵人参缓解酒精性脂肪肝损伤的研究

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食品科技 2018年第5期43卷 59-66页

作者：王雨珊游颖李万丛南博王心哲范静静王玉华吉林农业大学食品科学与工程学院长春130118

酒精性脂肪肝损伤由酒精过度摄入所致,为人类的健康带来严重的风险,且治疗方法有限。研究表明,人参具有缓解酒精性脂肪肝损伤的功能,且经微生物发酵后具有高生物活性的稀有皂苷含量增加,提高人参生理药理活性。试验用发酵乳杆菌KP-3发... 详细信息

酒精性脂肪肝损伤由酒精过度摄入所致,为人类的健康带来严重的风险,且治疗方法有限。研究表明,人参具有缓解酒精性脂肪肝损伤的功能,且经微生物发酵后具有高生物活性的稀有皂苷含量增加,提高人参生理药理活性。试验用发酵乳杆菌KP-3发酵人参,探究其对酒精性脂肪肝损伤小鼠的缓解作用。发酵人参干预酒精饮食小鼠2周后,小鼠肝脏脂肪堆积减少,血清和肝脏中的甘油三酯和低密度脂蛋白水平显著下降;肝脏及血清中氨基转移酶水平下降。此外,酒精性脂肪肝病患者常伴随着肠道微生物的失调,发酵人参干预后,小鼠肠道中益生菌数量增加,有害菌数量减少。结果表明,发酵乳杆菌KP-3发酵人参能够通过抑制肝脏炎症反应、改善肝脏脂肪堆积和调整肠道微生物,有效缓解酒精性脂肪肝损伤。

关键词：酒精性脂肪肝损伤发酵乳杆菌发酵人参肠道微生物

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温室型太阳能干燥过程的动态模拟

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太阳能学报 1987年第3期 270-276页

作者：李元哲范新王四海清华大学

通过实验,找到了物料中水分的蒸发速率与周围空气状态的定量关系,建立了比较完整的温室型太阳能干燥装置的动态数学模型,并编制了计算程序,为实现优化控制奠定了基础。利用这一程序计算得到的结果与实验完全一致。

关键词：动态模拟干燥过程蒸发速率干燥器辐射换热系数联立方程方程组含湿量人工干燥太阳能干燥

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Intricate evolutions of multiple-period post-buckling patterns in bilayers

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Science China(Physics,Mechanics & Astronomy) 2021年第1期64卷 72-81页

作者： zhe Cheng fan Xu Institute of Mechanics and Computational Engineering Department of Aeronautics and AstronauticsFudan UniversityShanghai200433China

Surface instability of compliant film/substrate bilayers has raised considerable interests due to its broad applications such as wrinkle-driven surface renewal and antifouling,shape-morphing for camouflaging skins,and micro/nano-scale surface patterning ***,it is still a challenge to precisely predict and continuously trace secondary bifurcation transitions in the nonlinear post-buckling ***,we develop lattice models to precisely capture the nonlinear morphology evolution with multiple mode transitions that occur in the film/substrate *** on our models,we reveal an intricate post-buckling phenomenon involving successive flat-wrinkle-doubling-quadrupling-fold ***-stretch and pre-compression of the substrate,as well as bilayer modulus ratio,can alter surface morphology of film/substrate *** high substrate pre-tension,hierarchical wrinkles emerge in the bilayer with a low modulus ratio,while a wrinkle-to-ridge transition occurs with a high modulus ***,with moderate substrate pre-compression,the bilayer eventually evolves into a period-tripling *** diagrams based on neo-Hookean and Arruda-Boyce constitutions are drawn to characterize the influences of different factors and to provide an overall view of ultimate pattern *** understanding and quantitative prediction of the nonlinear morphological transitions of soft bilayer materials hold potential for multifunctional surface regulation.

关键词： hierarchical wrinkle period-doubling period-tripling period-quadrupling fold ridge

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DOA and Subarray-Interval Estimation for Arbitrarily Distributed UAV Swarm System

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China Communications 2023年第4期20卷 102-117页

作者： Dian fan Yue Zhu Jia You zhe wang Nan Zhong The China Academy of Information and Communications Technology Beijing 100191China The China Academy of Railway Sciences Corporation Limited Beijing 100081China

In this paper,DOA and subarray-interval estimation are considered and applied to arbitrarily distributed unmanned aerial vehicle(UAV)swarm system,in which multiple small UAVs containing uniform linear array(ULA)are divided by unknown intervals because of dynamic *** parameters are taken to indicate the steering vector,namely,the direction of arrivals(DOAs)of target users,the intervals of UAVs,and the orientation angles of *** orientation angles are first estimated with an auxiliary user and the DOAs are obtained through a search free rooting method,despite the intervals among the ***,the intervals among UAVs can also be calculated via exhaustive when the number of target users are no less than *** further develop a low-complex method to reduce the computational complexity during subarray-interval *** deterministic Cramér-Rao bound(CRB)of the DOA,orientation angle and subarray-interval can be inferred in a closed ***,numerical instances are cited to verify the research results.

关键词： distributed subarray DOA orientation angle subarray-interval CRB

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Modeling and Experimental Analysis of Roughness Effect on Ultrasonic Nondestructive Evaluation of Micro-crack

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Chinese Journal of Mechanical Engineering 2021年第6期34卷 126-137页

作者： zhe wang Zhichao fan Xuedong Chen Yihua Kang Jingwei Cheng Wei Chen National Safety Engineering Technology Research Center for Pressure Vessels and Pipeline Hefei General Machinery Research Institute Co.LtdHefei230031China State Key Lab of Digital Manufacturing Equipment&Technology Huazhong University of Science and TechnologyWuhan430074China

A high-precision evaluation of ultrasonic detection sensitivity for a micro-crack can be restricted by a corroded rough surface when the surface microtopography is of the same order of magnitude as the crack *** this study,a back-surface micro-crack is considered as a research target.A roughness-modified ultrasonic testing model for micro-cracks is established based on a multi-Gaussian beam model and the principle of phase-screen *** echo signals of micro-cracks and noises corresponding to different rough front surfaces and rough back surfaces are obtained based on a reference reflector signal acquired from a two-dimensional simulation *** compari-son between the analytical and numerical models shows that the responses of micro-cracks under the effects of dif-ferent corroded rough surfaces can be accurately *** numerical and analytical results show that the echo signal amplitude of the micro-crack decreases significantly with an increase in roughness,whereas the noise ampli-tude slightly ***,the effect of the rough front surface on the echo signal of the micro-crack is greater than that of the rough back *** the root-mean-square(RMS)height of the surface microtopography is less than 15μm,the two rough surfaces have less influence on the echo signals detected by a focused transducer with a frequency of 5 MHz and diameter of 6 mm.A method for predicting and evaluating the detection accuracy of micro-cracks under different rough surfaces is proposed by combining the theoretical model and a finite element ***,a series of rough surface samples containing different micro-cracks are fabricated to experimentally validate the evaluation method.

关键词： Surface roughness Micro-crack Ultrasonic testing model Detection accuracy Evaluation method

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Using Quantile Regression to Detect Relationships between Large-scale Predictors and Local Precipitation over Northern China

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Advances in Atmospheric Sciences 2015年第4期32卷 541-552页

作者： fan Lijun XIONG zhe Key Laboratory of Regional Climate-Environment Research for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences

Quantile regression（QR） is proposed to examine the relationships between large-scale atmospheric variables and all parts of the distribution of daily precipitation amount at Beijing Station from 1960 to 2008. QR is also applied to evaluate the relationship between large-scale predictors and extreme precipitation（90th quantile） at 238 stations in northern ***, QR is used to fit observed daily precipitation amounts for wet days at four sample stations. Results show that meridional wind and specific humidity at both 850 h Pa and 500 h Pa（V850, SH850, V500, and SH500） strongly affect all parts of the Beijing precipitation distribution during the wet season（April–September）. Meridional wind, zonal wind, and specific humidity at only 850 h Pa（V850, U850, SH850） are significantly related to the precipitation distribution in the dry season（October–March）. Impacts of these large-scale predictors on the daily precipitation amount with higher quantile become stronger, whereas their impact on light precipitation is negligible. In addition, SH850 has a strong relationship with wet-season extreme precipitation across the entire region, whereas the impacts of V850, V500, and SH500 are mainly in semi-arid and semi-humid areas. For the dry season, both SH850 and V850 are the major predictors of extreme precipitation in the entire region. Moreover, QR can satisfactorily simulate the daily precipitation amount at each station and for each season, if an optimum distribution family is selected. Therefore, QR is valuable for detecting the relationship between the large-scale predictors and the daily precipitation amount.

关键词： quantile regression large-scale predictors precipitation distribution predictor–precipitation relationship northern China

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