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Author |
Loenders, B.; Michiels, R.; Bogaerts, A. |
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Title |
Is a catalyst always beneficial in plasma catalysis? Insights from the many physical and chemical interactions |
Type |
A1 Journal Article |
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Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
85 |
Issue  |
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Pages |
501-533 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
Plasma-catalytic dry reforming of CH4 (DRM) is promising to convert the greenhouse gasses CH4 and CO2 into value-added chemicals, thus simultaneously providing an alternative to fossil resources as feedstock for the chemical industry. However, while many experiments have been dedicated to plasma-catalytic DRM, there is no consensus yet in literature on the optimal choice of catalyst for targeted products, because the underlying mechanisms are far from understood. Indeed, plasma catalysis is very complex, as it encompasses various chemical and physical interactions between plasma and catalyst, which depend on many parameters. This complexity hampers the comparison of experimental results from different studies, which, in our opinion, is an important bottleneck in the further development of this promising research field. Hence, in this perspective paper, we describe the important physical and chemical effects that should be accounted for when designing plasma-catalytic experiments in general, highlighting the need for standardized experimental setups, as well as careful documentation of packing properties and reaction conditions, to further advance this research field. On the other hand, many parameters also create many windows of opportunity for further optimizing plasma-catalytic systems. Finally, various experiments also reveal the lack of improvement in plasma catalysis compared to plasma-only, specifically for DRM, but the underlying mechanisms are unclear. Therefore, we present our newly developed coupled plasma-surface kinetics model for DRM, to provide more insight in the underlying reasons. Our model illustrates that transition metal catalysts can adversely affect plasmacatalytic DRM, if radicals dominate the plasma-catalyst interactions. Thus, we demonstrate that a good understanding of the plasma-catalyst interactions is crucial to avoiding conditions at which these interactions negatively affect the results, and we provide some recommendations for improvement. For instance, we believe that plasma-catalytic DRM may benefit more from higher reaction temperatures, at which vibrational excitation can enhance the surface reactions. |
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Publication Date |
2023-06-30 |
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Series Issue |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
UA library record |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
Not_Open_Access |
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Notes |
This research was supported by the FWO-SBO project PlasMa- CatDESIGN (FWO grant ID S001619N), the FWO fellowship of R. Michiels (FWO grant ID 1114921N), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 810182 – SCOPE ERC Synergy project). The computational resources and services used in this work were provided by the HPC core facility CalcUA of the Universiteit Antwerpen, and VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government. |
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @c:irua:198159 |
Serial |
8806 |
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Author |
Wanten, B.; Vertongen, R.; De Meyer, R.; Bogaerts, A. |
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Title |
Plasma-based CO2 conversion: How to correctly analyze the performance? |
Type |
A1 journal article |
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Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
86 |
Issue |
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Pages |
180-196 |
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Keywords |
A1 journal article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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001070885000001 |
Publication Date |
2023-07-22 |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
Not_Open_Access |
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Notes |
We acknowledge financial support from the Fund for Scientific Research (FWO) Flanders (Grant ID 110221N), the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (grant agreement No 810182 – SCOPE ERC Synergy project), and the Methusalem funding of the University of Antwerp. We acknowledge the icons from the graphical abstract made by dDara, geotatah, Spashicons and Freepik on www.flaticon.com. We also thank Stein Maerivoet, Joachim Slaets, Elizabeth Mercer, Colín Ó’Modráin, Joran Van Turnhout, Pepijn Heirman, dr. Yury Gorbanev, dr. Fanny Girard-Sahun and dr. Sean Kelly for the interesting discussions and feedback. |
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @c:irua:198709 |
Serial |
8816 |
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Author |
Cai, Y.; Mei, D.; Chen, Y.; Bogaerts, A.; Tu, X. |
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Title |
Machine learning-driven optimization of plasma-catalytic dry reforming of methane |
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A1 Journal Article |
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Year |
2024 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
96 |
Issue |
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Pages |
153-163 |
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Keywords |
A1 Journal Article; Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
This study investigates the dry reformation of methane (DRM) over Ni/Al2O3 catalysts in a dielectric barrier discharge (DBD) non-thermal plasma reactor. A novel hybrid machine learning (ML) model is developed to optimize the plasma-catalytic DRM reaction with limited experimental data. To address the non-linear and complex nature of the plasma-catalytic DRM process, the hybrid ML model integrates three well-established algorithms: regression trees, support vector regression, and artificial neural networks. A genetic algorithm (GA) is then used to optimize the hyperparameters of each algorithm within the hybrid ML model. The ML model achieved excellent agreement with the experimental data, demonstrating its efficacy in accurately predicting and optimizing the DRM process. The model was subsequently used to investigate the impact of various operating parameters on the plasma-catalytic DRM performance. We found that the optimal discharge power (20 W), CO2/CH4 molar ratio (1.5), and Ni loading (7.8 wt%) resulted in the maximum energy yield at a total flow rate of 51 mL/min. Furthermore, we investigated the relative significance of each operating parameter on the performance of the plasmacatalytic DRM process. The results show that the total flow rate had the greatest influence on the conversion, with a significance exceeding 35% for each output, while the Ni loading had the least impact on the overall reaction performance. This hybrid model demonstrates a remarkable ability to extract valuable insights from limited datasets, enabling the development and optimization of more efficient and selective plasma-catalytic chemical processes. |
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Publication Date |
2024-04-25 |
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Edition |
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ISSN |
2095-4956 |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
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Notes |
This project received funding from the European Union’s Hori- zon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 813393. |
Approved |
Most recent IF: 13.1; 2024 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9124 |
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Author |
Ying, J.; Yang, X.-Y.; Hu, Z.-Y.; Mu, S.-C.; Janiak, C.; Geng, W.; Pan, M.; Ke, X.; Van Tendeloo, G.; Su, B.-L. |
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Title |
One particle@one cell : highly monodispersed PtPd bimetallic nanoparticles for enhanced oxygen reduction reaction |
Type |
A1 Journal article |
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Year |
2014 |
Publication |
Nano energy |
Abbreviated Journal |
Nano Energy |
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Volume |
8 |
Issue |
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Pages |
214-222 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
Highly monodispersed platinum-based nanoalloys are the best-known catalysts for the oxygen reduction reaction. Although certainly promising, the durability and stability are among the main requirements for commercializing fuel cell electrocatalysts in practical applications. Herein, we synthesize highly stable, durable and catalytic active monodispersed PtPd nano-particles encapsulated in a unique one particle@one cell structure by adjusting the viscosity of solvents using mesocellular foam. PtPd nanoparticles in mesocellular carbon foam exhibit an excellent electrocatalytic activity (over 4 times mass and specific activities than the commercial Pt/C catalyst). Most importantly, this nanocatalyst shows no obvious change of structure and only a 29.5% loss in electrochemically active surface area after 5000 potential sweeps between 0.6 and 1.1 V versus reversible hydrogen electrode cycles. (C) 2014 Elsevier Ltd. All rights reserved. |
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Wos |
000340981700026 |
Publication Date |
2014-06-23 |
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ISSN |
2211-2855; |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
12.343 |
Times cited |
40 |
Open Access |
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Notes |
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Approved |
Most recent IF: 12.343; 2014 IF: 10.325 |
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Call Number |
UA @ lucian @ c:irua:119255 |
Serial |
2465 |
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Author |
Yan, X.F.; Chen, Q.; Li, L.L.; Guo, H.Z.; Peng, J.Z.; Peeters, F.M. |
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Title |
High performance piezotronic spin transistors using molybdenum disulfide nanoribbon |
Type |
A1 Journal article |
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Year |
2020 |
Publication |
Nano Energy |
Abbreviated Journal |
Nano Energy |
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Volume |
75 |
Issue |
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Pages |
104953 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Condensed Matter Theory (CMT) |
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Abstract |
Two-dimensional (2D) materials are promising candidates for atomic-scale piezotronics and piezophototronics. Quantum edge states show fascinating fundamental physics such as nontrivial topological behavior and hold promising practical applications for low-power electronic devices. Here, using the tight-binding approach and quantum transport simulations, we investigate the piezotronic effect on the spin polarization of edge states in a zigzag-terminated monolayer MoS2 nanoribbon. We find that the strain-induced piezoelectric potential induces a phase transition of edge states from metal to semiconductor. However, in the presence of exchange field, edge states become semi-metallic with significant spin splitting and polarization that can be tuned by external strain. We show that quantum transport conductance exhibits a 100% spin polarization over a wide range of strain magnitudes. This effect is used in a propose prototype of piezotronic spin transistor. Our results provide a fundamental understanding of the piezotronic effect on edge states in zigzag monolayer MoS2 nanoribbons and are relevant for designing high-performance piezotronic spin devices. |
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Wos |
000560729200011 |
Publication Date |
2020-05-24 |
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Abbreviated Series Title |
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Edition |
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ISSN |
2211-2855 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
17.6 |
Times cited |
20 |
Open Access |
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Notes |
; This work was supported by Hunan Provincial Natural Science Foundation of China (Nos. 2015JJ2040, 2018JJ2078), Scientific Research Fund of Hunan Provincial Education Department (19A106), and the Funeral Service Foundation (FWO-VI). ; |
Approved |
Most recent IF: 17.6; 2020 IF: 12.343 |
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Call Number |
UA @ admin @ c:irua:171123 |
Serial |
6535 |
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Author |
Nabavi-Pelesaraei, A.; Azadi, H.; Van Passel, S.; Saber, Z.; Hosseini-Fashami, F.; Mostashari-Rad, F.; Ghasemi-Mobtaker, H. |
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Title |
Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Energy |
Abbreviated Journal |
Energy |
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Volume |
223 |
Issue |
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Pages |
120117 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
The aim of this study is determination of exergoenvironmental efficiency for using solar technologies in sunflower oil production in Iran. Accordingly, the applications of photovoltaic and photovoltaic/thermal systems were evaluated for both agricultural and industrial phases of sunflower oil production. Energy results reveal that 1 ton of sunflower oil consumes and produces about 180,354 and 39,400 MJ energy, respectively. About 86% of total energy consumption belongs to agricultural phase and electricity with 32%, has the highest share of total energy consumption. IMPACT 2002+ method and cumulative energy demand of life cycle assessment are applied to 3 defined scenarios including Present, photovoltaic and photovoltaic/thermal. Results indicate that total amounts of climate change in Present scenarios is 24537.53 kg CO2 eq.. The highest share of human health (90%), ecosystem quality (90%) and climate change (50%) in all scenarios belongs to direct emissions. Results also illustrates that total cumulative energy demand of Present, photovoltaic and photovoltaic/thermal scenarios are about 177,538, 99,054 and 132,158 MJ 1TSO(-1), respectively. Furthermore, the most contribution of non-renewable resources and fossil fuels belongs to electricity (37%), nitrogen (52%) and photovoltaic/thermal panels (39%) in Present, photovoltaic and photovoltaic/thermal scenarios, respectively. Finally the photovoltaic scenario is the best environmental-friendly scenario. (c) 2021 Elsevier Ltd. All rights reserved. |
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Wos |
000637964000003 |
Publication Date |
2021-02-17 |
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ISSN |
0360-5442 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
4.52 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 4.52 |
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Call Number |
UA @ admin @ c:irua:178193 |
Serial |
6940 |
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Author |
Quintero-Coronel, D.A.; Lenis-Rodas, Y.A.; Corredor, L.A.; Perreault, P.; Gonzalez-Quiroga, A. |
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Title |
Thermochemical conversion of coal and biomass blends in a top-lit updraft fixed bed reactor : experimental assessment of the ignition front propagation velocity |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Energy |
Abbreviated Journal |
Energy |
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Volume |
220 |
Issue |
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Pages |
119702-119710 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Co-thermochemical conversion of coal and biomass can potentially decrease the use of fossil carbon and pollutant emissions. This work presents experimental results for the so-called top-lit updraft fixed bed reactor, in which the ignition front starts at the top and propagates downward while the gas product flows upwards. The study focuses on the ignition front propagation velocity for the co-thermochemical conversion of palm kernel shell and high-volatile bituminous coal. Within the range of assessed air superficial velocities, the process occurred under gasification and near stoichiometric conditions. Under gasification conditions increasing coal particle size from 7.1 to 22 mm decreased ignition front velocity by around 26% regardless of the coal volume percentage. Furthermore, increasing coal volume percentage and decreasing coal particle size result in product gas with higher energy content. For the operation near stoichiometric conditions, increasing coal volume percentage from 10 to 30% negatively affected the ignition front velocity directly proportional to its particle size. Additional experiments confirmed a linear dependence of ignition front velocity on air superficial velocity. Further steps in the development of the top-lit updraft technology are implementing continuous solids feeding and variable cross-sectional area and optimizing coal particle size distribution. |
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Wos |
000623087300003 |
Publication Date |
2020-12-24 |
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Series Volume |
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Edition |
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ISSN |
0360-5442 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
4.52 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 4.52 |
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Call Number |
UA @ admin @ c:irua:175861 |
Serial |
8664 |
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