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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 |
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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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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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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 |
Wanten, B.; Vertongen, R.; De Meyer, R.; Bogaerts, A. |
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Title |
Plasma-based CO2 conversion: How to correctly analyze the performance? |
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A1 journal article |
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Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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86 |
Issue |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
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 |
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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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Permanent link to this record |
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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 |
Type |
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 |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
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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Wos |
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Publication Date |
2024-04-25 |
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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 |
Zheng, Y.-R.; Vernieres, J.; Wang, Z.; Zhang, K.; Hochfilzer, D.; Krempl, K.; Liao, T.-W.; Presel, F.; Altantzis, T.; Fatermans, J.; Scott, S.B.; Secher, N.M.; Moon, C.; Liu, P.; Bals, S.; Van Aert, S.; Cao, A.; Anand, M.; Nørskov, J.K.; Kibsgaard, J.; Chorkendorff, I. |
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Title |
Monitoring oxygen production on mass-selected iridium–tantalum oxide electrocatalysts |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Nature Energy |
Abbreviated Journal |
Nat Energy |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Applied Electrochemistry & Catalysis (ELCAT) |
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Abstract |
Development of low-cost and high-performance oxygen evolution reaction catalysts is key to implementing polymer electrolyte membrane water electrolyzers for hydrogen production. Iridium-based oxides are the state-of-the-art acidic oxygen evolution reactio catalysts but still suffer from inadequate activity and stability, and iridium's scarcity motivates the discovery of catalysts with lower iridium loadings. Here we report a mass-selected iridium-tantalum oxide catalyst prepared by a magnetron-based cluster source with considerably reduced noble-metal loadings beyond a commercial IrO2 catalyst. A sensitive electrochemistry/mass-spectrometry instrument coupled with isotope labelling was employed to investigate the oxygen production rate under dynamic operating conditions to account for the occurrence of side reactions and quantify the number of surface active sites. Iridium-tantalum oxide nanoparticles smaller than 2 nm exhibit a mass activity of 1.2 ± 0.5 kA “g” _“Ir” ^“-1” and a turnover frequency of 2.3 ± 0.9 s-1 at 320 mV overpotential, which are two and four times higher than those of mass-selected IrO2, respectively. Density functional theory calculations reveal that special iridium coordinations and the lowered aqueous decomposition free energy might be responsible for the enhanced performance. |
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Wos |
000728458000001 |
Publication Date |
2021-12-09 |
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ISSN |
2058-7546 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
95 |
Open Access |
OpenAccess |
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Notes |
Y.-R.Z. and Z.W acknowledge funding from the Toyota Research Institute. This project has received funding from VILLUM FONDEN (grant no. 9455) and the European Research Council under the European Union’s Horizon 2020 research and innovation programme (grants no. 741860-CLUNATRA, no. 815128−REALNANO and no. 770887−PICOMETRICS). S.B. and S.V.A. acknowledge funding from the Research Foundation Flanders (FWO, G026718N and G050218N). T.A. acknowledges the University of Antwerp Research Fund (BOF). STEM measurements were supported by the European Union's Horizon 2020 Research Infrastructure-Integrating Activities for Advanced Communities under grant agreement No 823717 – ESTEEM3.; sygmaSB |
Approved |
Most recent IF: NA |
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Call Number |
EMAT @ emat @c:irua:184794 |
Serial |
6903 |
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Permanent link to this record |
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Author |
Lu, Y.; Cheng, X.; Tian, G.; Zhao, H.; He, L.; Hu, J.; Wu, S.-M.; Dong, Y.; Chang, G.-G.; Lenaerts, S.; Siffert, S.; Van Tendeloo, G.; Li, Z.-F.; Xu, L.-L.; Yang, X.-Y.; Su, B.-L. |
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Title |
Hierarchical CdS/m-TiO 2 /G ternary photocatalyst for highly active visible light-induced hydrogen production from water splitting with high stability |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
Nano energy |
Abbreviated Journal |
Nano Energy |
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Volume |
47 |
Issue |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
8-17 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Hierarchical semiconductors are the most important photocatalysts, especially for visible light-induced hydrogen production from water splitting. We demonstrate herein a hierarchical electrostatic assembly approach to hierarchical CdS/m-TiO2/G ternary photocatalyst, which exhibits high photoactivity and excellent photostability (more than twice the activity of pure CdS while 82% of initial photoactivity remained after 15 recycles during 80 h irradiation). The ternary nanojunction effect of the photocatalyst has been investigated from orbitals hybrid, bonding energy to atom-stress distortion and nano-interface fusion. And a coherent separation mechanism of charge carriers in the ternary system has been proposed at an atomic/nanoscale. This work offers a promising way to inhibit the photocorrosion of CdS and, more importantly, provide new insights for the design of ternary nanostructured photocatalysts with an ideal heterojunction. |
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Wos |
000430057000002 |
Publication Date |
2018-02-14 |
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ISSN |
2211-2855 |
ISBN |
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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 |
58 |
Open Access |
Not_Open_Access |
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Notes |
This work supported by National Key R&D Program of China (2017YFC1103800), Program for Changjiang Scholars and Innovative Research Team in University (IRT_15R52), National Natural Science Foundation of China (U1663225, U1662134, 51472190, 51611530672, 21711530705, 51503166, 51602236, 21706199), International Science & Technology Cooperation Program of China (2015DFE52870), Natural Science Foundation of Hubei Province (2016CFA033, 2017CFB487), Open 22 Project Program of State Key Laboratory of Petroleum Pollution Control (PPC2016007) CNPC Research Institute of Safety and Environmental Technology., China Postdoctoral Science Foundation (2016M592400), Fundamental Research Funds for the Central Universities (WUT: 2017IVB012). |
Approved |
Most recent IF: 12.343 |
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Call Number |
EMAT @ lucian @c:irua:150720 |
Serial |
4925 |
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Permanent link to this record |
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Author |
Sathiya, M.; Jacquet, Q; Doublet, M.L; Karakulina, O.M.; Hadermann, J.; Tarascon, J.-M. |
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Title |
A Chemical Approach to Raise Cell Voltage and Suppress Phase Transition in O3 Sodium Layered Oxide Electrodes |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
Advanced energy materials |
Abbreviated Journal |
Adv. Energy Mater. |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
Sodium ion batteries (NIBs) are one of the versatile technologies for lowcost rechargeable batteries. O3-type layered sodium transition metal oxides (NaMO2, M = transition metal ions) are one of the most promising positive electrode materials considering their capacity. However, the use of O3 phases is limited due to their low redox voltage and associated multiple phase transitions which are detrimental for long cycling. Herein, a simple strategy is proposed to successfully combat these issues. It consists of the introduction of a larger, nontransition metal ion Sn4+ in NaMO2 to prepare a series of NaNi0.5Mn0.5−y SnyO2 (y = 0–0.5) compositions with attractive electrochemical performances, namely for y = 0.5, which shows a single-phase transition from O3 ⇔ P3 at the very end of the oxidation process. Na-ion NaNi0.5Sn0.5O2/C coin cells are shown to deliver an average cell voltage of 3.1 V with an excellent capacity retention as compared to an average stepwise voltage of ≈2.8 V and limited capacity retention for the pure NaNi0.5Mn0.5O2 phase. This study potentially shows the way to manipulate the O3 NaMO2 for facilitating their practical use in NIBs. |
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Wos |
000430163100013 |
Publication Date |
2018-01-11 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
21.875 |
Times cited |
28 |
Open Access |
OpenAccess |
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Notes |
M.S. and Q.J. contributed equally to this work. The authors thank Dr. Daniel Alves Dalla Corte and Sujoy Saha for electronic conductivity measurements and Prof. Dominique Larcher for fruitful discussions. Q.J. thanks the ANR “Deli-Redox” for Ph.D. funding. J.-M.T. acknowledges funding from the European Research Council (ERC) (FP/2014)/ERC Grant-Project 670116-ARPEMA. TGA analysis by Matthieu Courty, LRCS, Amiens, is greatly acknowledged. J.H. and O.M.K. acknowledge funding from FWO Vlaanderen project G040116N. |
Approved |
Most recent IF: NA |
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Call Number |
EMAT @ emat @c:irua:149515 |
Serial |
4907 |
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Permanent link to this record |
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Author |
Bogaerts, A.; Centi, G. |
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Title |
Plasma Technology for CO2 Conversion: A Personal Perspective on Prospects and Gaps |
Type |
A1 Journal article |
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Year |
2020 |
Publication |
Frontiers in energy research |
Abbreviated Journal |
Front. Energy Res. |
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Volume |
8 |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Abstract |
There is increasing interest in plasma technology for CO2 conversion because it can operate at mild conditions and it can store fluctuating renewable electricity into
value-added compounds and renewable fuels. This perspective paper aims to provide a view on the future for non-specialists who want to understand the role of plasma
technology in the new scenario for sustainable and low-carbon energy and chemistry. Thus, it is prepared to give a personal view on future opportunities and challenges. First, we introduce the current state-of-the-art and the potential of plasma-based CO2 conversion. Subsequently, we discuss the challenges to overcome the current limitations and to apply plasma technology on a large scale. The final section discusses the general context and the potential benefits of plasma-based CO2 conversion for our life and the impact on climate change. It also includes a brief analysis on the future scenario for energy and chemical production, and how plasma technology may realize new paths for CO2 utilization. |
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000553392300001 |
Publication Date |
2020-07-07 |
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ISSN |
2296-598X |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.4 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
We acknowledge financial support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 810182 – SCOPE ERC Synergy project). We thank A. Berthelot, M. Ramakers, R. Snoeckx, G. Trenchev, and V. Vermeiren for providing the figures used in this article. |
Approved |
Most recent IF: 3.4; 2020 IF: NA |
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Call Number |
PLASMANT @ plasmant @c:irua:170136 |
Serial |
6390 |
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