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SSRN 2022年

作者： Li, Ziyu Qin, Ciyu Liu, Ruoshui Li, Jinling Sun, Yang Gong, Huayang Xu, Zhiyi Jing, Xiaodong School of Rare Earths University of Science and Technology of China Anhui Hefei230026 China Ganjiang Innovation Academy Chinese Academy of Sciences Jiangxi Ganzhou341119 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Multiphase Complex Systems Beijing Engineering Research Centre of Process Pollution Control Institute of Process Engineering Chinese Academy of Sciences No.1 2nd North Street ZhongGuanCun Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

The changes in the physical phase, microscopic morphology and magnetic properties of the magnetic powders obtained at different calcination temperatures with different Fe and Ca contents were investigated. Strontium ferrite Sr0.55-yLa0.45CayCo0.3FexO19 (y=0, 0.05, 0.1, 0.15;x=9.4, 9.9, 10.4, 10.9) was prepared by the solid-phase reaction method, and the calcination temperatures ranged from 1175°C to 1250°C during the experiments. It was found that when the calcination temperature was decreased, the magnetic powder particles became smaller, but the Fe2O3 heterogeneous phase appeared in the magnetic powder. And reducing the Fe content can eliminate the Fe2O3 heterogeneous phase, but it will lead to the increase of grain size. Adjusting the Ca content can ensure the constant Co content into the lattice, but it will also increase the grain size. Finally, by magnetic analysis, the calcination temperature was decreased from 1250°C to 1225°C, and the coercivity of the magnetic powder was increased by about 1000 Oe, and the saturation magnetization intensity did not change significantly. Therefore, it is inferred that the effect of decreasing the calcination temperature on improving the coercivity is greater than that of decreasing the iron content and increasing the calcium content on decreasing the coercivity. The coercivity Hc can be increased without changing the saturation magnetization strength Ms. Ultimately, the magnetic properties of La-Ca-Co substituted M-type strontium ferrite can be further improved by this method. © 2022, The Authors. All rights reserved.

关键词： Solid state reactions

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Preparation and Properties of Rice Hull Ash as the catalysis supporter in the fluidized-bed reactor

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IOP Conference Series: Earth and Environmental Science 2021年第1期766卷

作者： Zhaohui Teng Shan Huang Heng Xu Na Li Qulan Zhou College of energy Chengdu University of Tecnoogy Chengdu 610059 China National Key Laboratory of Nuclear Reactor System Design Technology Nuclear Power Institute of China Chengdu 610200 China shenzhen ILNG energy technology CO. LTD Shenzhen 518061 China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an 710049 China

This research focuses on the preparation and properties of rice hull ash(RHA). We prepared RHA from combustion of rice husk in the fluidized-bed reactor. The temperature field of the furnace was steady and bellow 850°C to keep SiO2 amorphous. XRD, BET and SEM were applied in the characterization tests to investigate the effect of flow rate(u), the higher primary-secondary wind ratio(i) and relative height of bed material. The optimal combustion condition for preparing RHA was discussed. RHA obtained from rice hull contains abundant amorphous SiO2 (>90%) and the characterization results of RHA show its potential to be a good catalyst supporter.

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Face Mask Integrated with Flexible and Wearable Manganite Oxide Respiration Sensor

SSRN

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SSRN 2023年

作者： Ye, Lianxu Wu, Fan Xu, Ruixing Zhang, Di Lu, Juanjuan Wang, Chuanlong Dong, Anjiang Xu, Sichen Xue, Lejun Fan, Zixin Xu, Longjie Li, Kaifeng Li, Dong Kursumovic, Ahmed Zhao, Run Tang, Rujun Qiu, Lei Wang, Haiyan MacManus-Driscoll, Judith L. Jing, Qingshen Li, Weiwei Yang, Hao College of Physics MIIT Key Laboratory of Aerospace Information Materials and Physics Nanjing University of Aeronautics and Astronautics Nanjing211106 China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China School of Microelectronics & Data Science Anhui University of Technology Maanshan243002 China School of Materials Engineering School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Jiangsu Key Laboratory of Thin Films School of Physical Science and Technology Soochow University Suzhou215006 China Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and Technology Suzhou University of Science and Technology Suzhou215009 China Department of Materials Science & Metallurgy University of Cambridge 27 Charles Babbage Road CambridgeCB3 0FS United Kingdom James Watt School of Engineering University of Glasgow GlasgowG12 8LT United Kingdom State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing211106 China

Face masks are key personal protective equipment for reducing exposure to viruses and other environmental hazards such as air pollution. Integrating flexible and wearable sensors into face masks can provide valuable insights into personal and public health. The advantages that a breath-monitoring face mask requires, including multi-functional sensing ability and continuous, long-term dynamic breathing process monitoring, have been underdeveloped to date. Here, we design an effective human breath monitoring face mask based on a flexible La0.7Sr0.3MnO3 (LSMO)/Mica respiration sensor. The sensor’s capabilities and systematic measurements are investigated under two application scenes, namely clinical monitoring mode and daily monitoring mode, to monitor, recognise, and analyse different human breath status, i.e., cough, normal breath, and deep breath. This sensing system exhibits super-stability and multi-modal capabilities in continuous and long-time monitoring of the human breath. We determine that during monitoring human breath, thermal diffusion in LSMO is responsible for the change of resistance in flexible LSMO/Mica sensor. Both simulated and experimental results demonstrate good discernibility of the flexible LSMO/Mica sensor operating at different breath status. Our work opens a route for the design of novel flexible and wearable electronic devices. © 2023, The Authors. All rights reserved.

关键词： Mica

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Anchoring group regulation in semiconductor/molecular complex hybrid photoelectrode for photoelectrochemical water splitting

Smart Molecules

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Smart Molecules 2024年

作者： Xiangyan Chen Fujun Niu Tongxiang Ma Qingyu Li Shaopeng Wang Shaohua Shen Northwest Institute for Non-ferrous Metal Research Xi'an Shaanxi China School of Advanced Energy Shenzhen Campus of Sun Yat-sen University Shenzhen China State Key Laboratory of Multiphase Flow in Power Engineering International Research Center for Renewable Energy Xi'an Jiaotong University Xi'an Shaanxi China

Rational interface engineering via regulating the anchoring groups between molecular catalysts and light-absorbing semiconductors is essential and emergent to stabilize the semiconductor/molecular complex interaction and facilitate the photocarriers transport, thus realizing highly active and stable photoelectrochemical (PEC) water splitting. In this mini review, following a showcasing of the fundamental details of hybrid PEC systems containing semiconductor photoelectrodes and molecular catalysts for water splitting, the state-of-the-art progress of anchoring group regulation at semiconductor/molecular complex interface for efficient and stable PEC water splitting, as well as its effect on charge transfer kinetics, are comprehensively reviewed. Finally, potential research directions aimed at building high-efficiency hybrid PEC water splitting systems are summarized.

关键词： anchoring groups hybrid systems molecular catalysts photoelectrochemical water splitting semiconductor photoelectrodes

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Electrocatalytically Activating and Reducing N2Molecule by Tuning Activity of Local Hydrogen Radical

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Angewandte Chemie 2023年第20期135卷

作者： Yuanyuan Yang Cejun Hu Dr. Jieqiong Shan Chuanqi Cheng Prof. Lili Han Prof. Xinzhe Li Ruguang Wang Prof. Wei Xie Prof. Yao Zheng Prof. Tao Ling Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education Tianjin Key Laboratory of Composite and Functional Materials School of Materials Science and Engineering Tianjin University Tianjin 300072 China Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) Tianjin Key Lab of Molecular Recognition & Biosensing Renewable Energy Conversion and Storage Center College of Chemistry Nankai University Tianjin 300071 China School of Chemical Engineering The University of Adelaide Adelaide SA 5005 Australia State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou 350002 China State Key Laboratory of Multiphase Flow in Power Engineering School of Energy and Power Engineering Xi'an Jiaotong University Xi An Shi Xi'an 710049 China

Decarbonizing N 2 conversion is particularly challenging, but essential for sustainable development of industry and agriculture. Herein, we achieve electrocatalytic activation/reduction of N 2 on X/Fe−N−C (X=Pd, Ir and Pt) dual-atom catalysts under ambient condition. We provide solid experimental evidence that local hydrogen radical (H*) generated on the X site of the X/Fe−N−C catalysts can participate in the activation/reduction of N 2 adsorbed on the Fe site. More importantly, we reveal that the reactivity of X/Fe−N−C catalysts for N 2 activation/reduction can be well adjusted by the activity of H* generated on the X site, i.e., the interaction between the X−H bond. Specifically, X/Fe−N−C catalyst with the weakest X−H bonding exhibits the highest H* activity, which is beneficial to the subsequent cleavage of X−H bond for N 2 hydrogenation. With the most active H*, the Pd/Fe dual-atom site promotes the turnover frequency of N 2 reduction by up to 10 times compared with the pristine Fe site.

关键词： Carbon Materials Electrocatalysis Metal-Free Catalysts Nitrogen Reduction Reaction

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Structure Regulation of MOF Nanosheet Membrane for Accurate H2/CO2Separation

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Angewandte Chemie 2023年第17期135卷

作者： Hongling Song Dr. Yuan Peng Chenlu Wang Dr. Lun Shu Chenyu Zhu Dr. Yanlei Wang Prof. Hongyan He Prof. Weishen Yang State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian 116023 China University of Chinese Academy of Sciences 19 A Yuquan Road Beijing 100049 China Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex Systems CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China

High-purity H 2 production accompanied with a precise decarbonization opens an avenue to approach a carbon-neutral society. Metal–organic framework nanosheet membranes provide great opportunities for an accurate and fast H 2 /CO 2 separation, CO 2 leakage through the membrane interlayer galleries decided the ultimate separation accuracy. Here we introduce low dose amino side groups into the Zn 2 (benzimidazolate) 4 conformation. Physisorbed CO 2 served as interlayer linkers, gently regulated and stabilized the interlayer spacing. These evoked a synergistic effect of CO 2 adsorption-assisted molecular sieving and steric hinderance, whilst exquisitely preserving apertures for high-speed H 2 transport. The optimized amino membranes set a new record for ultrathin nanosheet membranes in H 2 /CO 2 separation (mixture separation factor: 1158, H 2 permeance: 1417 gas permeation unit). This strategy provides an effective way to customize ultrathin nanosheet membranes with desirable molecular sieving ability.

关键词： Metal–Organic Framework Membrane Nanosheet Amino Functionalization Gas Separation

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Inside Cover: Nb‐Doped Hematite Nanorods for Efficient Solar Water Splitting: Electronic Structure Evolution versus Morphology Alteration (ChemNanoMat 7/2016)

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ChemNanoMat 2016年第7期2卷

作者： Yanming Fu Chung‐Li Dong Wan‐Yi Lee Jie Chen Penghui Guo Liang Zhao Shaohua Shen International Research Center for Renewable Energy State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an Shaanxi 710049 P.R. China Department of Physics Tamkang University Tamsui 25137 Taiwan Department of Electrophysics National Chiao Tung University Hsinchu 30010 Taiwan

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Front Cover: Decoupled Water Electrolysis Driven by 1 cm2Single Perovskite Solar Cell Yielding a Solar-to-Hydrogen Efficiency of 14.4 % (ChemSusChem 1/2023)

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ChemSusChem 2022年第1期16卷

作者： Fei Lv Dr. Zhixiao Qin Jiazhe Wu Lixia Pan Longjie Liu Prof. Yubin Chen Prof. Yixin Zhao International Research Center for Renewable Energy State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Shaanxi 710049 P. R. China School of Environmental Science and Engineering Frontiers Science Center for Transformative Molecules Shanghai Jiao Tong University Shanghai 200240 P. R. China

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flow prediction of heterogeneous nanoporous media based on physical information neural network

Gas Science and Engineering

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Gas Science and engineering 2024年 125卷

作者： Liang Zhou Hai Sun Dongyan Fan Lei Zhang Gloire Imani Shuaishi Fu Yongfei Yang Kai Zhang Jun Yao National Key Laboratory of Deep Oil and Gas China University of Petroleum (East China) Qingdao 266580 PR China Research Center of Multiphase Flow in Porous Media School of Petroleum Engineering China University of Petroleum (East China) Qingdao 266580 PR China

The simulation and prediction of fluid flow in porous media play a profoundly significant role in today's scientific and engineering domains, particularly in gaining a deeper understanding of phenomena such as the migration and fluid flow in underground rock formations and the enhancement of oil recovery rates. The flow of fluids in nanoscale porous media requires consideration of the effects of microscale phenomena, which are challenging to accurately describe using traditional physical models. Currently, research in deep learning for porous media predominantly focuses on conventional porous media, and there is an urgent need for investigations into heterogeneous nanoporous media. Simultaneously, there is a necessity to overcome the limitations of traditional data-driven models lacking physical prior knowledge. Therefore, the integration of physics-informed neural networks, which combine deep learning with physical principles, becomes essential for inferring relatively accurate results from sparse data. In this work, based on the heterogeneity of porous media in shale, we have introduced a deep learning model that couples physical information to predict the flow in heterogeneous nanoscale porous media. In the Physical Information Neural Network model, we utilize point clouds and couple them with deep residual networks. Discrete sampling points are used as inputs, and a multi-level residual connection, along with dimension concatenation, is employed to fuse feature information. The network, through backpropagation, takes into account the Navier-Stokes equations and wall conditions in heterogeneous nanoscale porous media. The results indicate that the apparent permeability and pressure field accuracy are over 90% and 95%, respectively. The Physical Information Neural Network demonstrates promising prospects for predicting flow in nanoscale porous media. Future work will extend to the multiphase complex flow in three-dimensional porous media.

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Correction: An ionic liquid extraction process for the separation of indole from wash oil

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Green Chemistry 2015年第10期17卷 4846-4846页

作者： Tiantian Jiao Xulei Zhuang Hongyan He Lihong Zhao Chunshan Li Hongnan Chen Suojiang Zhang Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex Systems Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P.R. China Henan Energy Chemical Industry Group Co. Ltd Zhengzhou 450000 P.R. China

Correction for ‘An ionic liquid extraction process for the separation of indole from wash oil’ by Tiantian Jiao, et al., Green Chem., 2015, 17, 3783–3790.

Correction for ‘An ionic liquid extraction process for the separation of indole from wash oil’ by Tiantian Jiao, et al., Green Chem., 2015, 17, 3783–3790.

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