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One step NaBH_4 reduction of Pt-Ru-Ni catalysts on different types of carbon supports for direct ethanol fuel cells : Synthe sis and characte rization

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燃料化学学报 2017年第5期45卷 596-607页

作者： Napha Sudachom Chompunuch Warakulwit Chaiwat Prapainainar Thongthai Witoon Paweena Prapainainar National Center of Excellence for Petroleum Petrochemicals and Advance MaterialDepartment of Chemical EngineeringFaculty of EngineeringKasetsart University Center for Advanced Studies in Nanotechnology for Chemical Food and Agricultural IndustriesKU Institute for Advanced StudiesKasetsart University Physical Chemistry Department Kasetsart University Department of Chemical Engineering King Mongkut's University of Technology North Bangkok Research and Development Centre for Chemical Engineering Unit Operation and Catalyst Design King Mongkut's University of Technology North Bangkok

The ternary catalyst Pt75Ru5Ni20 was conducted on various types of carbon supports including functionalized Vulcan XC-72R(f-CB),functionalized multi-walled carbon nanotubes(f-MWCNT),and mesoporous carbon(PC-Zn-succinic)by sodium borohydride chemical reduction method to improve the ethanol electrooxidation reaction(EOR)for direct ethanol fuel cell(DEFC).It was found that the particle size of the metals on f-MWCNT was 5.20 nm with good particle *** alloy formation of ternary catalyst was confirmed by XRD and more clearly described by SEM element mapping,which was relevant to the efficiency of the ***,the mechanism of ethanol electrooxidation reaction based on the surface reaction was more *** activity and stability for ethanol electrooxidation reaction(EOR)were investigated using cyclic voltammetry and chronoamperometry,*** highest activity and stability for EOR were observed from Pt75Ru5Ni20/f-MWCNT due to a good metal-carbon *** and Ni presented in Pt-Ru-Ni alloy improved the activity and stability of ternary catalysts for ***,the reduction of Pt content in ternary catalyst led to the catalyst cost deduction in DEFC.

关键词： ternary catalyst ethanol electrooxidation reaction multiwall carbon nanotubes mesoporous carbon

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Reinforcement Learning Technique Based Automated Feature Analysis of Gene Expression Data

Reinforcement Learning Technique Based Automated Feature Ana...

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2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023

作者： Jayakrishnan, R. Meera, S. Vels Institute of Science Technology and Advanced Studies Computer Science & Engineering Tamil Nadu Chennai India Vels Institute of Science Technology and Advanced Studies Department of Computer Science & Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350333244

Immunohistochemistry and reverse transcription polymerase chain reaction, it is feasible to find molecular markers that are specific to cancer;nevertheless, there are no pathognomonic molecular markers available for the vast majority of solid tumors at this time. In this paper, we develop a Reinforcement learning Technique based automated feature analysis of gene expression data. This provides support for the idea that, on average, all the validation findings and training data from each epoch were utilized. This proposed method helps to acquiring knowledge at a more leisurely pace is, in the end, what makes episodic deep RL possible as a potential choice for students to pursue. To put it another way, the slow but steady accumulation of knowledge paves the path for the rapid extension of one existing body of information. The proposed methods provide 98 percent of the accuracy result than existing ANN and DNN. The proposed framework outperformed existing methods in terms of increase accuracy rate and reduced execution time than other methods © 2023 IEEE.

关键词： Reinforcement learning

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Is the hardness of material harder than diamond reliable?

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Journal of Materials Science & technology 2023年第13期144卷 111-117页

作者： Jin Liu Yongtao Zou Guodong David Zhan Pei Wang Xiaozhi Yan Duanwei He Liping Wang Institute of Atomic and Molecular Physics Sichuan UniversityChengdu 610065China School of Mechanical Engineering Jingchu University of TechnologyJingmen 448000China Academy for Advanced Interdisciplinary Studies and Department of PhysicsSouthern University of Science and TechnologyShenzhen 518055China Shenzhen Key Laboratory of Ultraintense Laser&Advanced Material Technology College of Engineering Physicsand Center for Advanced Material Diagnostic TechnologyShenzhen Technology UniversityShenzhen 518118China Drilling Technology Division Exploration and Petroleum Engineering Center-Advanced Research Center(EXPEC ARC)Saudi AramcoDhahran 31311Saudi Arabia

With the development of new synthesis methods and chemistries,a number of new superhard materials have been reported to be harder than *** such materials are highly desirable due to their wide-ranging applications,there are some inherent uncertainties in the methods utilized to determine and define the hardness of such *** this paper,we employed the standard Vickers diamond indenter and substitute indenters with the same shape to measure the hardness of nine ceramics and superhard materials within well-defined criteria and methodology,for the assessment of consistency in the hardness *** findings and the developed testing method in the current study have broad implications in characterizing new and emerging superhard materials,leading to new discoveries.

关键词： Vickers hardness Superhard materials Emerging materials Applicability

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Adaptive mesh based routing for efficient multicasting in highly mobile Ad Hoc networks

Adaptive mesh based routing for efficient multicasting in hi...

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2nd International Conference on Emerging Technologies

作者： Inayat, Riaz Gardezi, Usman Haider Shahid, Ahmad Raza Center for Advanced Studies in Engineering Pakistan Ericsson Pakistan (Private) Limited COMSATS Institute of Information Technology Pakistan

ISBN: (纸本)9781424405039

Since meshes show much robustness than tree based multicasting and reactive algorithms tend to reduce control overhead in a Mobile Ad hoc Network (MANET), On Demand Mesh is a strong candidate for efficient multicasting in such a network. While, mesh enables a scoped flooding mechanism among selected nodes, it results in much data overhead. The tradeoff establishment, by efficiently reducing retransmitting mesh members and achieiving high packed delivery ratio at the same time is challenging. Likewise, periodic,flooding of control packets throughout the network tends to increase control overhead. Some optimized flooding technique needs to be investigated to efficiently reduce periodic broadcast packets. Adapting control packets that refresh mesh members to current mobility/density conditions of the network, was previously addressed by GPS enabled On-Demand Multicast Routing Protocol (ODMRP). We propose an alternative for GPS in our case by utilizing Mean Link Duration metric to adapt mid reduce refreshing control packets. In addition, we suggest a new reactive multicast mesh construction algorithm, it ding overhearing technique, which forms a fish bone structure. Motive is to selectively add relevant redundant members to a source based mesh. Each mesh member chooses its forwarding mode independently and entirely in a distributed fashion, based on its own perceived network conditions to provide a tradeoff between reducing data overhead and achieving multicast reliability. Similarly, optimized flooding technique, using Multi Point Rela, vs (MPKs), is also exploited. Thus we propose to Solve the problem of limiting control plus data overhead for mesh based multicast routing and that of achieving very high packet delivery ratio at the same time in MANET

关键词： multicast routing ad hoc network wireless mobile meshes adaptive protocols

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Analysis of deep actor-critic methods for classifying cancer subtypes through gene expression

International Journal of Systematic Innovation

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International Journal of Systematic Innovation 2024年第4期8卷 46-66页

作者： Jayakrishnan, R. Meera, S. Department of Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies Tamil Nadu Chennai India

The word “cancer” denotes a syndromes that can spread to various bodily areas and are brought on by abnormal cell proliferation. After cardiovascular illnesses, according to the World Health Organisation (WHO), cancer is the second largest cause of death in the world. To better understand molecular processes behind various cancer subdivisions, cancer categorization depends on gene expression information is essential. Conventional machine learning methods have proven helpful in this situation, but new approaches are needed for accurate and understandable categorisation due to the difficulty and dimensionality of gene expression datasets. In this article, we analyse various methods for multiclass categorising cancer subtypes using deep structured reinforcement learning (DSRL). Our methodology addresses several significant issues in cancer subtype classification by combining the strength of deep neural networks with reinforcement learning. In this research, seven different gene expression datasets are utilised to classify the cancer subtype. We also used different classification approaches in Python for the same dataset to perform a comparative study. Deep reinforcement learning for cancer subtype classification improves the accuracy of gene expression data by integrating intricate data patterns, enabling customised therapies, and expanding the field of precision medicine research. The analysis reveals that the newly suggested model exceeds the contemporary state-of-the-art classifiers, achieving the highest accuracy across all seven datasets, ranging from 55% to 100%, while attaining the lowest loss, which varies between 0.02 and 0.11. This work offers a viable method for classifying cancer subtypes into many categories using gene expression data. © (2024), (Society of Sytematic Innovation). All rights reserved.

关键词： Cancer subtypes Deep neural networks Deep-learning Gene expression Machine-learning Reinforcement learning

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Effect of preheating on machinability of titanium alloy

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Materials Today: Proceedings 2022年 64卷 799-803页

作者： Ananda Kumar, Eriki Pugazhenhi, R. Chandrasekaran, M. Anbuchezhiyan, G. Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai 600117 India Department of Mechanical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Science Chennai 601205 India

This works presents preheating method to improve the machinability of titanium compound. With the effect of warming work piece (pre-heating) using induction coil (heating) system, speed, feed and depth were investigated in the midst of end milling process on a vertical machining center (VC450-Spinner). Additionally, WC-Co PCD inserts were positioned 25 mm apart on the mill (R390-025B25-11M/R390-170408E-NLH13A) and the effects of preheating on tool life, smoothness of the surface, force of cut, vibration/chatter, irregularities, and chips/tool morphology were examined. The execution of uncoated WC-Co was greatly implemented (directionally around multiple times appeared differently compared to room temperature machining), the tool life estimations were essentially higher than those of PCD under room temperature machining. Preheating machining reduces vibration and chatter resulting in increased cutting force and extended tool life. In addition, chip-device contact length is extended and chip serrations are formed reducing equipment wear. As a result of the experimentation, it was found that the execution of uncoated WC-Co was greatly enhanced in the preheated method. Moreover, tool life estimations with PCD at room temperature are significantly improved. © 2022

关键词： Preheating

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Development of an analysis method for neutrino-induced air showers with the Telescope Array surface detectors 7

Development of an analysis method for neutrino-induced air s...

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7th International Symposium on Ultra-High-Energy Cosmic Rays, UHECR 2024

作者： Takahashi, K. Sako, T. Fujisue, K. Fujita, K. Kawata, K. Ogio, S. Oshima, H. Sagawa, H. Takeda, M. Abbasi, R.U. Abu-Zayyad, T. Allen, M. Belz, J.W. Bergman, D.R. Buckland, I. Campbell, W. Cheon, B.G. Endo, K. Fedynitch, A. Fujii, T. Fujisue, K. Fujita, K. Fukushima, M. Furlich, G. Gerber, Z. Globus, N. Hanlon, W. Hayashida, N. He, H. Hibino, K. Higuchi, R. Ikeda, D. Ishii, T. Ivanov, D. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kawachi, Y. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, S.W. Kobo, R. Komae, I. Komatsu, K. Komori, K. Koyama, C. Kudenko, M. Kuroiwa, M. Kusumori, Y. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lee, M.J. Lubsandorzhiev, B. Lundquist, J.P. Matsuzawa, A. Matthews, J.A. Matthews, J.N. Mizuno, K. Mori, M. Murakami, M. Nagataki, S. Nakahara, M. Nakamura, T. Nakayama, T. Nakayama, Y. Nonaka, T. Ogio, S. Ohoka, H. Okazaki, N. Onishi, M. Oshima, A. Oshima, H. Ozawa, S. Park, I.H. Park, K.Y. Potts, M. Przybylak, M. Pshirkov, M.S. Remington, J. Rott, C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sakaki, N. Sakamoto, R. Sako, T. Sakurai, N. Sakurai, S. Sato, D. Sato, S. Sekino, K. Shibata, T. Shikita, J. Shimodaira, H. Shin, B.K. Shin, H.S. Shinozaki, K. Smith, J.D. Sokolsky, P. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, K. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, K. Tanaka, M. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tomida, T. Troitsky, S. Tsunesada, Y. Udo, S. Urban, F. Vaiman, I.A. Vrabel, M. Warren, D. Yamazaki, K. Zhezher, Y. Zundel, Z. Zvirzdin, J. ICRR University of Tokyo 5-1-5 Kashiwa-no-Ha Chiba Kashiwa City277-8582 Japan Institute of Physics Academia Sinica No.128 Sec.2 Academia Rd. Taipei115 Taiwan Department of Physics Loyola University Chicago ChicagoIL60660 United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT84112-0830 United States Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul426-791 Korea Republic of Graduate School of Science Osaka Metropolitan University Sugimoto Sumiyoshi Osaka558-8585 Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa277-8582 Japan Institute of Physics Academia Sinica Taipei City115201 Taiwan Nambu Yoichiro Institute of Theoretical and Experimental Physics Osaka Metropolitan University Sugimoto Sumiyoshi Osaka558-8585 Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako351-0198 Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama221-8686 Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu400-8511 Japan Department of Physics Sungkyunkwan University Jang-an-gu Suwon16419 Korea Republic of Department of Physics Tokyo City University Tokyo158-8557 Japan Institute for Nuclear Research Russian Academy of Sciences Moscow117312 Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Tokyo337-8570 Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano380-8554 Japan Graduate School of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka572-8530 Japan Service de Physique Theorique Universite Libre de Bruxelles Brussels1050 Belgium Department of Physics Yonsei University Seodaemun-gu Seoul120-749 Korea Republic of Center for Astrophysics and Cosmology University of Nova Gorica Nova Gorica5297 Slovenia Faculty o

The origins of Ultra High Energy Cosmic Rays (UHECRs) remain unclear. A significant difficulty in identifying their sources is the complex deflection of charged particles by galactic and intergalactic magnetic fields. Our goal is to detect high-energy neutrinos produced through interactions between UHECRs and matter near astrophysical objects, to help elucidate their origins. In this study, we utilize data from the Telescope Array surface detector (TA SD) to search for neutrino-induced air showers. To achieve this, we have developed an analysis method using Monte Carlo (MC) simulations. Our approach focuses on inclined air showers, as both the probability of interaction and the efficiency of background rejection increase at larger zenith angles. Since standard TA analyses limit zenith angles below 55 degrees, this study rigorously examines the validity of thinning and dethinning processes in MC simulations at larger zenith angles. To minimize variations in shower characteristics, we concentrate on showers produced by electron neutrinos through charged current interactions. This study will not only present a detailed analysis method but also discuss the characteristics of neutrino-induced air showers, which are essential for distinguishing them from background events. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) All rights for text and data mining, AI training, and similar technologies for commercial purposes, are reserved.

关键词： Cosmic rays

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Nature Communications 2025年第1期16卷 1-10页

作者： Xu, Boyi Fu, Jinyue Huang, Lanyu Ge, Cuihuan Xu, Zheyuan Zheng, Weihao Deng, Qiqi Xie, Shengyi Tong, Qingjun Li, Dong Jiang, Ying Yuan, Hongtao Pan, Anlian School of Physics and Electronics Hunan University Changsha China Key Laboratory for Micro-Nano Physics and Technology of Hunan Province Hunan University Changsha China College of Materials Science and Engineering Hunan University Changsha China Hunan Institute of Optoelectronic Integration Hunan University Changsha China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha China National Laboratory of Solid State Microstructures Nanjing University Nanjing China Jiangsu Key Laboratory of Artificial Functional Materials Nanjing University Nanjing China College of Engineering and Applied Sciences Nanjing University Nanjing China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing China School of Physics and Electronics Hunan Normal University Changsha China

Correlated insulating states such as fermionic and bosonic insulators have been observed individually in transition metal dichalcogenide heterostructures. However, the interplay between fermionic and bosonic correlated states and their dynamical evolution on a single system, remain largely unexplored. Here, we demonstrate that the twisted trilayer heterostructures host an unconventional fermionic complex, namely the charge-layer-locked trion with a symmetric charge configuration. Owing to its spatially-indirect charge distribution, this fermionic trion can dynamically evolve into a bosonic inter-layer exciton plus an extra charge under an external optical or electric field, making the trilayer system a flexible platform to generate fermionic and bosonic quasiparticles as well as their mixtures. Notably, this charge-layer-locked trion can serve as a reservoir for both charge and exciton fillings of the lattice, where the resulting correlated insulating state can evolve from fermionic, fermionic-bosonic, to bosonic nature as controllably tuning of the external optical and electric fields. These results highlight that the hetero-trilayer semiconductors are an informative toy-model system to simulate the many-body correlations ranging from Fermi-, Fermi-Bose-, to Bose-Hubbard Hamiltonians. © The Author(s) 2025.

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Asparagine-modified magnetic graphene oxide as efficient green nanocatalyst for synthesis of chromenes and pyrano pyrazoles derivatives

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Scientific Reports 2025年第1期15卷 1-18页

作者： Khaleghiabbasabadi, Masoud Azarifar, Davood Taghavian, Hadi Hematian, Hadi Silvestri, Daniele Rezek, Bohuslav Bahrami, Behrokh Khodabakhshi, Saeed Institute for Nanomaterials Advanced Technology and Innovation Technical University of Liberec Liberec 46001 Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec 46001 Czech Republic Department of Chemistry Bu-Ali Sina University Hamedan 65178 Iran Faculty of Electrical Engineering Czech Technical University in Prague Technická 2 Prague 16227 Czech Republic Department of Civil and Environmental Engineering Lamar University Beaumont TX United States Energy Safety Research Institute Swansea University Bay Campus Swansea SA1 8EN United Kingdom

The primary focus of this study involved the fabrication of a novel nanocatalyst Fe3O4-supported asparagine functionalized graphene oxide Fe3O4@GO-N-(Asparagine). The catalyst was synthesized through a four-step proce... 详细信息

The primary focus of this study involved the fabrication of a novel nanocatalyst Fe₃O₄-supported asparagine functionalized graphene oxide Fe₃O₄@GO-N-(Asparagine). The catalyst was synthesized through a four-step procedure. The chemical composition of Fe₃O₄@GO-N-(Asparagine) was examined using various analytical methods, including scanning electron microscopy (SEM), energy-dispersive X-ray (EDX), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA) and a Raman. The Fe₃O₄@GO-N-(Asparagine) catalyst demonstrated remarkable catalytic action in the synthesis of 5-oxo-dihydropyrano[3,2-c]chromenes as well as dihydropyrano[2,3-c]pyrazole derivatives. The protocol offered several benefits, including short reaction times, the utilization of green solvents, outstanding product yields, and a straightforward work-up procedure. Eventually, density functional theory (DFT) computations were utilized to calculate several parameters, including energy levels, electrostatic potential, and chemical reactivity descriptors based on highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies. Based on the calculations obtained from DFT, it was determined that the type and position of functional groups on the synthesized compounds had the most significant impact on the calculations. © The Author(s) 2025.

关键词： Density functional theory computations Dihydropyrano[2,3-c]pyrazole Fe3O4-Magnetized N-(asparagine)-functionalized graphene oxide Graphene oxide Magnetic nano catalyst Pyrano[3,2-c]chromenes

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The ORR electron transfer kinetics control via Co-N_(x) and graphitic N sites in cobalt single atom catalysts in alkaline and acidic media

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Journal of Energy Chemistry 2022年第5期31卷 184-194页

作者： Tong Shen Xiaoxiao Huang Shibo Xi Wei Li Shengnan Sun Yanglong Hou Beijing Innovation Centre for Engineering Science and Advanced Technology(BIC-ESAT) Beijing Key Laboratory for Magnetoelectric Materials and Devices(BKLMMD)School of Materials Science and EngineeringPeking UniversityBeijing 100081China Center for Nanoscale Science and Technology Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100081China Institute of Chemical and Engineering Sciences Agency for ScienceTechnology and Research(A*STAR)Singapore 627833Singapore

Cost-effective 3d transition metal(TM) based single atom catalysts(SACs) for oxygen reduction reaction(ORR) are potential alternatives for Pt-based electrocatalysts in fuel cells and metal-air *** the effects of SACs’ properties and active site composition on the catalytic performance is significant to construct highly efficient catalysts. Here, we successfully promote the activity of cobalt single atoms decorated on N-doped carbon nanosheets via tuning the content of different nitrogen components, which outperforms most reported cobalt SACs. The activity and kinetics show positive correlation trends with the content of Co-Nxand graphitic N, serving as the main active ***, ORR kinetics in alkaline media can be positively affected by the conductivity of catalysts while no similar relation is observed in acidic media. The slight loss of Co-Nxsites engenders a mild change of performance in alkaline media, while the decrease of Co-Nxsite activity due to chemical oxidation of carbon support and the loss of Co-Nxsites in acidic media exacerbate the degradation of performance. Our work provides an insight into the relation between ORR electron transfer kinetics and active sites in 3d TM based SACs.

关键词： Oxygen reduction reaction Single-atom electrocatalysts Electron transfer kinetics Active sites Degradation mechanism

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