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Correlating the fluctuated growth of carbon nanotubes with catalyst evolution by atmospheric-pressure environmental transmission electron microscopy

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Nano Research 2023年第11期16卷 12781-12787页

作者： Rui-Hong Xie Lili Zhang Ruixue Ma Xin-Yu Jiao Dai-Ming Tang Chang Liu Hui-Ming Cheng Shenyang National Laboratory for Materials Science Institute of Metal Research(IMR)Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaHefei 230026China Research Center for Materials Nanoarchitectonics(MANA) National Institute for Materials Science(NIMS)TsukubaIbaraki 305-0044Japan School of Materials Science and Engineering Institute of Technology for Carbon NeutralityShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Rate-controlled growth of carbon nanotubes(CNTs)and catalyst design are considered efficient ways for the preparation of CNTs with specific structures and ***,due to the difficulties in capturing the growth process of the CNTs with tiny size under a complex growth environment,the growth kinetics of CNTs and their correlation with the catalyst seed have been seldom ***,we investigated the growth process of CNTs from Ni nanoparticles(NPs)in real-time under atmospheric pressure using transmission electron microscopy equipped with a closed gas *** was found that the growth rates of CNTs fluctuated,and a phase transition from Ni_(3)C to Ni,and a reshaping of the catalyst NPs occurred during the growth *** demonstrated that CNTs dynamically interacted with the connected catalyst NPs and the fluctuated growth rates of CNTs were correlated with the structure change of catalyst *** origin of the growth rate fluctuation is attributed to the change of carbon concentration gradient in catalyst NPs.

关键词： carbon nanotube growth rate nickel catalyst in situ transmission electron microscopy

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A review on ultra-small undoped MoS_(2) as advanced catalysts for renewable fuel production

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Carbon Energy 2024年第2期6卷 92-112页

作者： Guoping Liu Lingling Ding Yuxuan Meng Ahmad Ali Guifu Zuo Xianguang Meng Kun Chang Oi Lun Li Jinhua Ye Hebei Provincial Laboratory of Inorganic Nonmetallic Materials College of Materials Science and EngineeringNorth China University of Science and TechnologyTangshanChina College of Materials Science and Technology Nanjing University of Aeronautics and AstronauticsNanjingChina School of Materials Science and Engineering Pusan National UniversityBusanKorea International Center for Materials Nanoarchitectonics(WPIMANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbarakiJapan

Molybdenum disulfide(MoS_(2))has garnered significant attention in the field of catalysis due to the high density of active sites in its unique two-dimensional(2D)structure,which could be developed into numerous high-performance *** synthesis of ultra-small MoS2 particles(<10 nm)is highly desired in various experimental *** ultra-small structure could often lead to a distinct S-Mo coordination state and nonstoichiometric composition in MoSx,minimizing in-plane active sites of the 2D structure and making it probable to regulate the atomic and electronic structure of its intrinsic active sites on a large extent,especially in MoSx *** article summarizes the recent progress of catalysis over ultra-small undoped MoS_(2) particles for renewable fuel *** a systematic review of their synthesis,structural,and spectral characteristics,as well as the relationship between their catalytic performance and inherent defects,we aim to provide insights into catalysis over this matrix that may potentially enable advancement in the development of high-performance MoS_(2)-based catalysts for sustainable energy generation in the future.

关键词： applications catalytic MoS_(2) structure synthesis

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Compositional Ligno-cellulosic behaviour of some residual biomass

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Materials Today: Proceedings 2022年 62卷 392-397页

作者： Suman, Swapan Kumar Rai, Santosh Kumar Singh, Rajneesh Bhushan, Awani Kumar Rajak, Dilip Department of Mechanical Engineering Meerut Institute of Engineering and Technology Uttar Pradesh Meerut 250005 India Department of Mechanical Engineering NIET NIMS University Jaipur Rajasthan 303121 India School of Mechanical Engineering Vellore Institute of Technology Chennai Campus Tamil Nadu 600120 India South Africa

The present study analyzes the compositional lingo-cellulosic behaviour of different kinds of biomass. Five types of biomass were selected for this investigation: wheat straw, coconut husk, tea waste, coconut shell, and eucalyptus shell. This study found that only lignin content contributes to the heating value, then cellulose and hemicellulose. There is not a direct relationship between the heating value of biomass and the cellulose and hemicellulose content. However, because lignin has a 30% greater energy content than cellulose and hemicellulose, it directly impacts the biomass's heating value. Because lignin is the most stable and complex of the three biomass components, its concentration is thought to be the most important determining factor in the thermo-chemical process. All the samples exhibit three distinct peaks, namely, moisture loss at 70 °C, hemicellulose degradation at 300 °C, and maximal breakdown of the piece at 365 °C, as determined by DTG analysis. © 2022

关键词： Biomass

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Hybrid structure of iron single atoms and metallic titanium for photothermal ethanol steam reforming

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Science China Chemistry 2024年第3期67卷 848-854页

作者： Dachao Yuan Guanda Han Zhixuan Wang Jianguo Zhao Kailuan Li Pengfei Wang Jianjun Hao Yaguang Li Jinhua Ye College of Mechanical and Electrical Engineering Technology Innovation Center of Intelligent Agricultural EquipmentHebei Agricultural UniversityBaoding 071001China Research Center for Solar Driven Carbon Neutrality The College of Physics Science and TechnologyInstitute of Life Science and Green DevelopmentHebei UniversityBaoding 071002China International Center for Materials Nanoarchitectonics(WPI-MANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbaraki 305-0044Japan Graduate School of Chemical Science and Engineering Hokkaido UniversitySapporo 060-0814Japan

Photothermal ethanol steam reforming(ESR) is currently limited by low intrinsic activity and strong solar energy ***,we synthesized Fe single atoms supported on CeO_(2)(SA Fe-CeO_(2)) to exhibit excellent low-temperature ESR activity with a hydrogen production rate of 512 mmol g^(-1)h^(-1) at 350℃,becuase of the high oxidation state of Fe single atoms to weaken the reaction barrier of ethanol ***,a heterostructure of SA Fe-CeO_(2) and Ti foil could eliminate 66% of infrared radiation via the size effect,thus achieving a 3.5 sun-driven temperature of 347℃.Consequently,the heterostructure of SA Fe-CeO_(2) and Ti foil shows a hydrogen generation rate of 984 mmol g^(-1)h^(-1) of ESR and 11.31% of solar-to-hydrogen energy conversion efficiency,which outperforms other photothermal ethanol-hydrogen production *** study provides a new path for designing active catalytic sites and trapping light energy of photothermal catalysts.

关键词： photothermal catalysis single atoms heterostructure ethanol steam reforming iron

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Selectivity control of photocatalytic CO_(2) reduction over ZnS-based nanocrystals:A comparison study on the role of ionic cocatalysts

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Journal of Energy Chemistry 2023年第11期86卷 391-398,I0009页

作者： Hong Pang Fumihiko Ichihara Xianguang Meng Lijuan Li Yuqi Xiao Wei Zhou Jinhua Ye Hebei Provincial Laboratory of Inorganic Nonmetallic Materials College of Materials Science and EngineeringNorth China University of Science and TechnologyTangshan 063210HebeiChina International Center for Materials Nanoarchitectonics(WPI-MANA) National Institute for Materials Science(NIMS)Tsukuba 305-0044Japan Center for Green Research on Energy and Environmental Materials(GREEN) National Institute for Materials Science(NIMS)Tsukuba 305-0044Japan Department of Applied Physics School of ScienceTianjin UniversityTianjin 300072China Graduate School of Chemical Sciences and Engineering Hokkaido UniversitySapporo 060-0814Japan

Taking copper doped ZnS(ZnS:Cu)nanocrystals as the main body of photocatalyst,the influence of different base transition metal ions(M^(2+)=Ni^(2+),Co^(2+),Fe^(2+)and Cd^(2+))on photocatalytic CO_(2)reduction in inorganic reaction system is *** single-atom Ni^(2+),Co^(2+),and Cd^(2+)sites were created via cation-exchange process and enhanced CO_(2)reduction,while Fe^(2+)suppressed the photocatalytic activity for both water and CO_(2)*** modified ZnS:Cu photocatalysts(M/ZnS:Cu)demonstrated tunable product selectivity,with Ni^(2+)and Co^(2+)showing high selectivity for syngas production and Cd^(2+)displaying remarkable formate *** calculations indicated favorable H adsorption free energy on Ni^(2+)and Co^(2+)sites,promoting the hydrogen evolution *** selectivity of CO_(2)reduction products was found to be sensitive to the initial intermediate adsorption states.*COOH formed on Ni^(2+)and Co^(2+)while*OCHO formed on Cd^(2+),favoring the production of CO and HCOOH as the main products,*** work provides valuable insights for developing efficient solar-to-fuel platforms with controlled CO_(2)reduction selectivity.

关键词： CO_(2) reduction Photocatalysis Zns Ionic cocatalyst Formate Syngas DFT calculations

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Superconducting joints using reacted multifilament MgB_(2)wires:A technology toward cryogen-free MRI magnets

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Journal of Magnesium and Alloys 2024年第1期12卷 159-170页

作者： Dipak Patel Akiyoshi Matsumoto Hiroaki Kumakura Yuka Hara Toru Hara Minoru Maeda Hao Liang Yusuke Yamauchi Seyong Choi Jung Ho Kim Md Shahriar A.Hossain School of Mechanical and Mining Engineering The University of QueenslandSt LuciaQueensland 4072Australia National Institute for Materials Science(NIMS) 1-2-1 SengenTsukubaIbaraki 305-0047Japan Department of Electrical Engineering and Kangwon High Magnetic Field Center Institute of Quantum Convergence TechnologyKangwon National UniversityGangwon 24341Republic of Korea Australian Institute for Bioengineering and Nanotechnology(AIBN) The University of QueenslandSt LuciaQueensland 4072Australia Department of Materials Process Engineering Graduate School of EngineeringNagoya UniversityNagoyaAichi 464-8603Japan Institute for Superconducting and Electronic Materials Australian Institute for Innovative MaterialsUniversity of WollongongNorth WollongongNew South Wales 2500Australia

The development of superconducting joining technology for reacted magnesium diboride(MgB_(2))conductors remains a critical challenge for the advancement of cryogen-free MgB_(2)-based magnets for magnetic resonance imaging(MRI).Herein,the fabrication of superconducting joints using reacted carbon-doped multifilament MgB_(2)wires for MRI magnets is *** achieve successful superconducting joints,the powder-in-mold method was employed,which involved tuning the filament protection mechanism,the powder compaction pressure,and the heat treatment *** fabricated joints demonstrated clear superconducting-to-normal transitions in self-field,with effective magnetic field screening up to 0.5 T at 20 *** evaluate the interface between one of the MgB_(2)filaments and the MgB_(2)bulk within the joint,serial sectioning was conducted for the first time in this type of superconducting *** serial sectioning revealed space formation at the interface,potentially caused by the volume shrinkage associated with the MgB_(2)formation or the combined effect of the volume shrinkage and the different thermal expansion coefficients of the MgB_(2)bulk,the filament,the mold,and the sealing *** findings are expected to be pivotal in developing MgB_(2)superconducting joining technology for MRI magnet applications through interface engineering.

关键词： Mg B2 superconducting joint MgB_(2)conductor MRI applications Cryogen-free magnet Persistent-mode operation

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Modeling compressive strength and environmental impact points of fly ash-admixed concrete using data-driven approaches

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Asian Journal of Civil engineering 2025年第2期26卷 795-811页

作者： Singh, Sandeep Meena, Y.R. Rapeti, Srinivasa Rao Kedia, Navin Issa, Salman Khalaf Abbas, Haider M. Department of Civil Engineering School of Engineering and Technology Bahra University Distt. Solan HP Waknaghat India Faculty of Engineering Sohar University Sohar Oman Department of Civil Engineering School of Engineering and Technology JAIN (Deemed to Be University) Karnataka Bangalore India Department of Civil Engineering Raghu Engineering College 531162 Andhra Pradesh Vishakhapatnam India Department of Civil Engineering NIMS Institute of Engineering & amp Technology NIMS University Rajasthan Jaipur India Department of Medical Laboratories Technology Al-Nisour University College Nisour Seq. Karkh Baghdad Iraq Department of Structurals Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Structurals Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Structurals Techniques Engineering College of Technical Engineering The Islamic University of Babylon Babylon Iraq

This study examined the capability of white-box machine learning methods in the intelligent design of concrete technology. Therefore, three data-driven methods, multivariate adaptive regression splines (MARS), gene expression programming (GEP), and group method of data handling (GMDH) approaches, were adopted to model the compressive strength (CS) and environmental impact points (P) of fly ash admixture concrete. The main feature of the proposed methods is that they provide formulas for predicting CS and P. The study's findings indicated the acceptable performance of the suggested methods in concrete technology. In general, the MARS approach for the estimation of CS is more acute than the GMDH and GEP approaches. In addition, MARS had results similar to those of the evolutionary polynomial regression (EPR) model generated in the earlier research to predict CS. Moreover, the MARS model performs slightly better than EPR for predicting P. It is noteworthy that MARS presented more straightforward equations than EPR for predicting CS and P. Sensitivity analysis indicated a more effective parameter on CS and P. The accuracy of the developed models was assessed through statistical parameters and scatter, Taylor, and Violin plots. The presented predictive models can have practical applications in the construction of buildings. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Compressive strength Data-driven models Environmental impact Green concrete Sustainable concrete statistical analysis

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Enhanced exciton dissociation through scandium-decorated conjugated polymers for artificial photosynthesis of hydrogen peroxide

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Journal of Energy Chemistry 2025年第4期103卷 714-722页

作者： Xingxing Chen Yongli Shen Fan Yang Shuang Yao Wen Zhang Baojuan Xi Xuguang An Shenglin Xiong Jinhua Ye Changhua An Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion School of Chemistry and Chemical EngineeringTianjin Key Laboratory of Advanced Functional Porous MaterialsInstitute of New Energy Materials&Low-Carbon TechnologiesTianjin University of TechnologyTianjin 300384China School of Chemistry and Chemical Engineering Shandong UniversityJinan 250100ShandongChina School of Mechanical Engineering Chengdu UniversityChengdu 610106SichuanChina International Center for Materials Nanoarchitectonics(WPI-MANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbaraki 305-0044Japan

Solar-driven hydrogen peroxide(H_(2)O_(2))production offers a sustainable and environmentally friendly alternative to the traditional anthraquinone oxidation *** polymers(CPs)are emerging as promising photocatalysts for H_(2)O_(2)production due to their unique electronic,optical properties,and tunable ***,the high exciton binding energy of CPs hinders efficient exciton dissociation and charge separation,limiting their photocatalytic *** this work,we synthesized scandium(Sc)atoms decorated CPs with enhanced ordered stacking and crystallinity by introducing benzaldehyde as an end-capping *** strong interaction between charged Sc atoms and electrons facilitates exciton dissociation and improves charge transfer ***,the Lewis acidic nature of Sc atoms promotes oxygen adsorption and enhances the stabilization of superoxide anion intermediate(·O_(2)^(-)).As a result,the as-synthesized photocatalysts exhibit a high H_(2)O_(2)production rate of 18μmol h^(-1)in pure water,which is three times that of pristine CPs,This work provides valuable insights into the design of organic polymer photocatalysts for various photocatalytic reactions.

关键词： Photocatalysis H_(2)O_(2) Exciton dissociation Conjugated polymers

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Deciphering of solvent fraction, thermal relaxation and cubic autocatalysis in unsteady nonlinear radiative ternary nanoliquid flow over a slow rotating disk

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Multiscale and Multidisciplinary Modeling, Experiments and Design 2025年第6期8卷 1-15页

作者： Kumar, Thanesh Deevi Reddy, Prabhakara Reddy Reddy, Anitha Deevi Remidi, Srinivas Chohan, Jasgurpreet Singh Kedia, Ankit Mathematics and Computing Skills Unit University of Technology and Applied Sciences - Nizwa Nizwa Oman School of Mechanical Engineering Rayat Bahra University Mohali India Faculty of Engineering Sohar University Sohar Oman Department of Mechanical and Aerospace Engineering NIMS Institute of Engineering & Technology NIMS University Rajasthan Jaipur India

The present study explores the consequence of homogeneous–heterogeneous chemical reactions on the unsteady flow of Boger ternary nanoliquid via a slow rotating disk with the porous medium, suction, and non-linear thermal radiation. Additionally, the temperature equation is modelled using the Cattaneo–Christov heat flux theory. Fluid flow past revolving disk concepts are utilized in various technical applications, including gas turbine engines, flywheels, gears, and brakes. The analysis considers titanium dioxide, cobalt ferrite, and magnesium oxide nanoparticles that are suspended in water. Using similarity variables, the governing partial differential equations (PDEs) are converted to dimensionless ordinary differential equations (ODEs). Further, the resultant ODEs are numerically solved using the finite difference method (FDM). The impact of several parameters on the velocity, thermal, and concentration profiles are depicted with the graphical illustrations. The velocity profiles decline as the ratio of relaxation time and porous parameter values rise. An increase in the solvent fraction parameter enhances the velocity profiles. The velocity profiles diminish as the suction parameter increases. As the radiation parameter values increase, the temperature profile rises. The concentration profile diminishes as the intensity of the homogeneous and heterogeneous reaction parameters escalates. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Stream flow

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Deep Learning for Disease Identification in Cassava Plants Using RGB Imaging 6th

Deep Learning for Disease Identification in Cassava Plants U...

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6th International Conference on Recent Innovations in Computing, ICRIC 2023

作者： Sutar, Shivam Mohite, Snehal Kamble, Tushar Kolhar, Shrikrishna Jagtap, Jayant Shastri, Rajveer Joshi, Shubham Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology Maharashtra Baramati India Maharashtra Pune India Marik Institute of Computing Artificial Intelligence Robotics and Cybernetics NIMS University Rajasthan Jaipur303121 India Department of Artificial Intelligence and Data Science Vishwakarma Institute of Technology Maharashtra Pune411037 India

ISBN: (纸本)9789819778614

Agriculture is the most critical sector in the world economy. Food security and consistent food supply are the key challenges due to rapid growth in the world population and crop diseases. Crop yield gets significantly hampered due to diseases attacking large crop fields. The precise classification of plant diseases is essential to provide appropriate pesticide supplements. This study applies deep learning (DL) models to identify diseases in cassava plants using red–green–blue (RGB) images. Three models, namely Xception-net, MobileNetV2, and EfficientNetB0, are trained and evaluated on the cassava disease dataset publicly available on Kaggle. Since the dataset is imbalanced, five-fold cross-validation is used to check the consistency of the results. Transfer learning and random weight initialization were used for model training. The Xception-net is the clear winner among the three models, with an accuracy of 87.8% using transfer learning, 81.33% using random weight initialization, and 85% average accuracy using five-fold cross-validation. Further, this work is extended to develop web and mobile applications with DL models deployed at the backend to predict plant diseases from input images. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Plant diseases

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