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Unveiling the promotion role of ZnO on Zn-Al spinel oxide for CO2 hydrogenation

Journal of Energy Chemistry 2025年第1期100卷 18-25页

作者： Tongyao Wang Xinlong Yao Lixin Liang Hongyu Chen Pan Gao Guangjin hou State Key Laboratory of Catalysis Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences University of Chinese Academy of Sciences

The Zn-Al spinel oxide stands out as one of the most active catalysts for high-temperature methanol synthesis from CO2hydrogenation. However, the structure–activity relationship of the reaction remains poorly understood due to challenges in atomic-level structural characterizations and analysis of reaction intermediates. In this study, we prepared two Zn-Al spinel oxide catalysts via coprecipitation（ZnAl-C）and hydrothermal（ZnAl-H） methods, and conducted a comparative investigation in the CO2hydrogenation reaction. Surprisingly, under similar conditions, ZnAl-C exhibited significantly higher selectivity towards methanol and DME compared to ZnAl-H. Comprehensive characterizations using X-ray diffraction（XRD）, Raman spectroscopy and electron paramagnetic resonance（EPR） unveiled that ZnAl-C catalyst had abundant ZnO species on its surface, and the interaction between the ZnO species and its ZnAl spinel oxide matrix led to the formation of oxygen vacancies, which are crucial for CO2adsorption and activation. Additionally, state-of-the-art solid-state nuclear magnetic resonance（NMR） techniques,including ex-situ and in-situ NMR analyses, confirmed that the surface ZnO facilitates the formation of unique highly reactive interfacial formate species, which was readily hydrogenated to methanol and DME. These insights elucidate the promotion effects of ZnO on the ZnAl spinel oxide in regulating active sites and reactive intermediates for CO2-to-methanol hydrogenation reaction, which is further evidenced by the significant enhancement in methanol and DME selectivity observed upon loading ZnO onto the ZnAl-H catalyst. These molecular-level mechanism understandings reinforce the idea of optimizing the ZnO-ZnAl interface through tailored synthesis methods to achieve activity-selectivity balance.

关键词： Reaction intermediates

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黄河软土地区深基坑阳角区域变形特性分析

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市政技术 2024年第3期42卷 148-156页

作者：唐迪李因旭侯兴民泰山科技学院建筑工程学院山东泰安271038 华通建设发展集团有限公司山东泰安271021 烟台大学土木工程学院山东烟台264005

以济南市济洛路穿黄隧道汽修厂站深基坑为例,通过监测手段对获取的地表沉降、地连墙深层水平位移和支撑轴力等数据展开分析,研究了黄河软土地区深基坑阳角区域的变形特性。研究结果表明:基坑标准段地表沉降变形规律呈三角形,最大值发生... 详细信息

以济南市济洛路穿黄隧道汽修厂站深基坑为例,通过监测手段对获取的地表沉降、地连墙深层水平位移和支撑轴力等数据展开分析,研究了黄河软土地区深基坑阳角区域的变形特性。研究结果表明:基坑标准段地表沉降变形规律呈三角形,最大值发生在距离基坑7 m处,阳角区域地表沉降变形规律呈汤勺形,最大值发生在距离基坑5 m处;基坑开挖地连墙深层水平位移阳角区域的偏移量比标准段偏移量大,最大偏移量为36.10 mm,且整体变化规律表现为“弯弓”形,其最大偏移点随开挖进度的变化逐渐下移,同时整体变形量也随开挖进度的变化在不断增加;首道支撑总体的受力变化形态呈下降趋势,且基本处于受拉状态,与对应的深层水平位移变形特征基本一致,其余3道钢支撑轴力呈波动上升趋势。

关键词：黄河软土地区深基坑阳角监测数据变形特性

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基于振动法的岩块纵波波速测试

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水利与建筑工程学报 2020年第2期18卷 46-51页

作者：孙蒙侯兴民张一林烟台大学土木工程学院山东烟台264005

评价岩体完整性的定量指标K_v取决于岩体与岩块的纵波波速,因此准确地测得岩块纵波波速是评价岩体完整性的关键环节之一。提出了利用振动法测量岩块纵波波速即利用布设在岩块两端横截面中心的两个振动加速度传感器采集振动信号,通过互... 详细信息

评价岩体完整性的定量指标K_v取决于岩体与岩块的纵波波速,因此准确地测得岩块纵波波速是评价岩体完整性的关键环节之一。提出了利用振动法测量岩块纵波波速即利用布设在岩块两端横截面中心的两个振动加速度传感器采集振动信号,通过互相关函数计算到时差,从而求得纵波波速。通过振动法和超声波法对不同岩性、尺寸、风化程度的8个岩块进行波速测试,分析了各因素对岩块纵波波速测试结果的影响。结果表明:振动法与超声波法测得的岩块纵波波速最大相对误差为-8.57%。采用振动法测试岩块纵波波速能有效减少频散效应对波速的影响,提高了测试精度。

关键词：振动法岩块纵波波速测试互相关函数

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Experimental Study on Energy Storage Characteristics of Sintered Ore Particle Packed Beds

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Journal of Thermal Science 2025年第1期34卷 242-253页

作者： LAI Zhenya DING Liwei LYU Hongkun hou Chenglong CHEN Jiaying GUO Xutao HAN Gaoyan ZHANG Kang State Grid Zhejiang Electric Power Research Institute State Key Laboratory of Clean Energy Utilization Zhejiang University

The particle packed bed energy storage system has advantages such as low costs and wide temperature ranges,which can be combined with solar thermal power generation systems to solve the inherent volatility and discontinuity of renewable *** new materials with low costs and excellent storage performances is one of the eternal research hotspots in the field of energy *** paper innovatively uses sintered ore particles as energy storage material and studies the effect of particle size on the airflow resistance characteristics,energy storage characteristics,and thermocline evolution characteristics of the packed bed through thermal energy storage *** results indicate that for the particles in the macro scale,the smaller the particle,the lower the absolute permeability of the bed and the greater the airflow *** packed bed with smaller particles has a larger specific surface area,larger bulk mass,and smaller bed ***,the packed beds with smaller particles have better thermocline characteristics,less irreversible loss,and can achieve higher thermal efficiency and higher exergy efficiency in the heat storage *** cycle thermal efficiency in packed beds with 25-40 mm,16-25 mm,and 10-16 mm particles is 53.58%,56.27%,and 57.60%,respectively,and the cycle exergy efficiency is 61.81%,69.25%,and 74.13%,***,this paper also studies the effect of discharging airflow rates on thermal storage *** experimental results indicate that suitable discharging strategies should be selected based on different heat demands.

关键词： airflow resistance particle packed bed thermal energy storage thermocline evolution

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Contrastive Learning

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Marine dispersion of Fukushima-derived radiocesium in the North Pacific and its implications

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Science China Earth Sciences 2025年

作者： Tong ZHANG Xiaolin hou Yukun FAN State Key Laboratory of Loess and Quaternary Geology Shaanxi Key Laboratory of Accelerator Mass Spectrometry Technology and Application Xi'an AMS Center Institute of Earth Environment Chinese Academy of Sciences University of Chinese Academy of Sciences Xi'an Institute for Innovative Earth Environment Research

A key scientific approach to addressing the environmental radiation risks from Fukushima nuclear contaminated water （FNCW） discharge into the ocean is understanding and predicting the marine dispersion of *** dispersion of radiocesium (CsF:134Cs,137Cs) from the Fukushima nuclear accident in the North Pacific and its marginal seas post-2011 was systematically summarized,focusing on pathways,vertical distribution changes,and transit *** research examined CsFdispersion through the Kuroshio Extension and denser central mode water （D-CMW） to the eastern North Pacific,as well as through subtropical mode water （STMW）,lighter central mode water （L-CMW）,and D-CMW to the subtropical western North Pacific,China Seas,and Sea of *** considered broader implications of CsFdispersion in light of ongoing FNCW *** this prolonged liquid discharge and Kuroshio Extension’s barrier effect,it is crucial to emphasize the role of CMW besides STMW in transporting FNCW to the subtropical western North Pacific and its marginal *** research should focus on the key mechanism and longitude range of CMW crossing the Kuroshio *** short-lived134Cs decays rapidly during the storage and dispersion of FNCW,long-lived135Cs and135Cs/137Cs ratios can serve as valuable tracers for detecting and quantifying ***,there is an urgent need for high-precision analysis of these key radionuclides and their characteristic *** promptly detect,assess,and respond to FNCW intrusion,continuous monitoring and identification of nuclear pollution sources in key ocean currents and straits are ***,interdisciplinary research integrating monitoring with marginal sea circulation dynamics and high-resolution numerical simulations should be a priority

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Molecular dynamics simulation of quartz deformation under slow earthquake background

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Science China Earth Sciences 2025年

作者： Jingxian SUN Qianqian GUO Quanlin hou College of Earth and Planetary Sciences University of Chinese Academy of Sciences Key Laboratory of Computational Geodynamics CAS

Slow earthquakes are the primary mechanism of slow energy release, and research on the focal mechanism has been inconclusive. Studies have primarily focused on the friction law based on physical mechanisms and have suggested that slow earthquakes are caused by brittle faults. However, the focal strength and structural characteristics of slow earthquakes in subduction zones provide evidence of plastic deformation. What is the role of plastic deformation in the focal mechanisms of slow earthquakes? Mechanochemical study have shown that mechanical forces can directly affect chemical bonds. In this study,we examine the storage and release of chemical energy during plastic deformation and consider a mechanochemical process in the focal mechanism of slow earthquakes. Combined with the Tersoff potential, molecular dynamics simulation on the shear deformation process of two α-quartz crystals show that the shear modulus of α-quartz is 18 GPa, and that the crystal model primarily exhibits atoms flowing and changing in the direction of chemical bonds during the steady-state flow stage. The molecular potential energy and stress vary in an oscillating up-and-down curve during shear, indicating that chemical energy can be stored and released during plastic deformation. This is consistent with the energy variation during slow earthquakes. Under the initial simple-shear loading condition, α-quartz crystals undergo general shear deformation instead of plane strain and the angle between the longest instantaneous stretching axis （ISA1） and the shearing direction is approximately 30°, not 45°. Both the deformation type and direction of ISA1are contrary to basic deformation theory, which may provide clues for future *** study reveals the process of quartz elastic-plastic shear deformation on an atomic scale. This information is useful for understanding focal mechanisms of slow earthquakes. This study is part of a series of investigations on tectonic stress chemistry.

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场地卓越周期的计算及其工程应用

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水利与建筑工程学报 2016年第5期14卷 144-150页

作者：郝冰张彦曲淑英侯兴民烟台大学土木工程学院山东烟台264005

场地卓越周期是场地土地震动力特性的重要参数,总结了不同规范对场地卓越周期的定义,阐述了卓越周期在工程抗震中的应用、计算方法及其优缺点。结合工程实例,通过对某一场地的地脉动和剪切波速记录,计算得到该场地的卓越周期分别为0.37... 详细信息

场地卓越周期是场地土地震动力特性的重要参数,总结了不同规范对场地卓越周期的定义,阐述了卓越周期在工程抗震中的应用、计算方法及其优缺点。结合工程实例,通过对某一场地的地脉动和剪切波速记录,计算得到该场地的卓越周期分别为0.375 s和0.590 s,分析了差别产生的原因;对鲁甸地区某场地强震记录进行计算,得其卓越周期为0.5 s。同时,比较了各种计算方法的适用性,并通过地脉动及强震记录的频谱分析,研究了场地土层结构和场地频谱特性的对应关系。

关键词：场地卓越周期地脉动工程剪切波速强震记录

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Inhibition of the cGAS–STING pathway:contributing to the treatment of cerebral ischemia-reperfusion injury

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Neural Regeneration Research 2025年第7期20卷 1900-1918页

作者： Hang Yang Yulei Xia Yue Ma Mingtong Gao Shuai hou Shanshan Xu Yanqiang Wang School of Clinical Medicine Shandong Second Medical UniversityWeifangShandong ProvinceChina Department of Emergency The Affiliated Hospital of Weifang Medical UniversityWeifangShandong ProvinceChina Department of Neurology Ⅱ The Affiliated Hospital of Weifang Medical UniversityWeifangShandong ProvinceChina

The cGAS–STING pathway plays an important role in ischemia-reperfusion injury in the heart,liver,brain,and kidney,but its role and mechanisms in cerebral ischemia-reperfusion injury have not been systematically ***,we outline the components of the cGAS–STING pathway and then analyze its role in autophagy,ferroptosis,cellular pyroptosis,disequilibrium of calcium homeostasis,inflammatory responses,disruption of the blood–brain barrier,microglia transformation,and complement system activation following cerebral ischemia-reperfusion *** further analyze the value of cGAS–STING pathway inhibitors in the treatment of cerebral ischemia-reperfusion injury and conclude that the pathway can regulate cerebral ischemia-reperfusion injury through multiple *** of the cGAS–STING pathway may be helpful in the treatment of cerebral ischemia-reperfusion injury.

关键词： calcium homeostasis cellular autophagy cerebral ischemia-reperfusion injury cGAS–STING pathway ferroptosis gut–brain–microbiota axis inflammatory light chain 3 microglial cells Syntaxin-17 protein

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Milking the Market

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China Today 2025年第1期74卷 39-41页

作者： hou JUAN China Economic Weekly

With climate change becoming direr and the WTO losing its teeth at 30,experts renew call for green collaboration among the world’s three largest *** competition intensifies in the global dairy product market,many foreign dairy companies are focusing on China."China is the best market to debut breakthrough products,"said Bruno Chevot,food and beverage multinational Danone China’s president for North Asia and Oceania.

关键词： companies Market China.

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