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Author | Wang, W.; Patil, B.; Heijkers, S.; Hessel, V.; Bogaerts, A. | ||||
Title | Nitrogen Fixation by Gliding Arc Plasma: Better Insight by Chemical Kinetics Modelling | Type | A1 Journal Article | ||
Year | 2017 | Publication | Chemsuschem | Abbreviated Journal | Chemsuschem |
Volume | 10 | Issue | 10 | Pages | 2110-2110 |
Keywords | A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
Abstract | The conversion of atmospheric nitrogen into valuable compounds, that is, so-called nitrogen fixation, is gaining increased interest, owing to the essential role in the nitrogen cycle of the biosphere. Plasma technology, and more specifically gliding arc plasma, has great potential in this area, but little is known about the underlying mechanisms. Therefore, we developed a detailed chemical kinetics model for a pulsed-power gliding-arc reactor operating at atmospheric pressure for nitrogen oxide synthesis. Experiments are performed to validate the model and reasonable agreement is reached between the calculated and measured NO and NO2 yields and the corresponding energy efficiency for NOx formation for different N2/O2 ratios, indicating that the model can provide a realistic picture of the plasma chemistry. Therefore, we can use the model to investigate the reaction pathways for the formation and loss of NOx. The results indicate that vibrational excitation of N2 in the gliding arc contributes significantly to activating the N2 molecules, and leads to an energy efficient way of NOx production, compared to the thermal process. Based on the underlying chemistry, the model allows us to propose solutions on how to further improve the NOx formation by gliding arc technology. Although the energy efficiency of the gliding-arc-based nitrogen fixation process at the present stage is not comparable to the world-scale Haber–Bosch process, we believe our study helps us to come up with more realistic scenarios of entering a cutting-edge innovation in new business cases for the decentralised production of fertilisers for agriculture, in which lowtemperature plasma technology might play an important role. | ||||
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Language | Wos | Publication Date | 2017-05-11 | ||
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ISSN | 1864-5631 | ISBN | Additional Links | ||
Impact Factor | 7.226 | Times cited | Open Access | Not_Open_Access | |
Notes | This research was supported by the European Marie Skłodowska- Curie Individual Fellowship “GlidArc” within Horizon 2020 (Grant No.657304), by the FWO project (grant G.0383.16 N) and by the EU project MAPSYN: Microwave, Acoustic and Plasma assisted SYNthesis, under the grant agreement no. CP-IP 309376 of the European Community’s Seventh Framework Program. The calculations were performed using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen. | Approved | Most recent IF: 7.226 | ||
Call Number | PLASMANT @ plasmant @ | Serial | 4573 | ||
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Author | Hoffman, B.M.; Lukoyanov, D.; Yang, Z.-Y.; Dean, D.R.; Seefeldt, L.C. | ||||
Title | Mechanism of Nitrogen Fixation by Nitrogenase: The Next Stage | Type | A1 Journal Article | ||
Year | 2014 | Publication | Chemical Reviews | Abbreviated Journal | Chem. Rev. |
Volume | 114 | Issue | 8 | Pages | 4041-4062 |
Keywords | A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
Abstract | Ammonia is a crucial nutrient used for plant growth and as a building block in pharmaceutical and chemical industry, produced via nitrogen fixation of the ubiquitous atmospheric N2. Current industrial ammonia production relies heavily on fossil resources, but a lot of work is put into developing non-fossil based pathways. Among these is the use of nonequilibrium plasma. In this work, we investigated water vapor as H source for nitrogen fixation into NH3 by non-equilibrium plasma. The highest selectivity towards NH3 was observed with low amounts of added H2O vapor, but the highest production rate was reached at high H2O vapor. | ||||
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Language | Wos | Publication Date | 2014-04-23 | ||
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ISSN | 0009-2665 | ISBN | Additional Links | ||
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Notes | We would like to thank Sylvia Dewilde (Department of Biomedical Sciences) for providing analytical equipment. | Approved | no | ||
Call Number | PLASMANT @ plasmant @ | Serial | 6337 | ||
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Author | Gorbanev, Y.; Fedirchyk, I.; Bogaerts, A. | ||||
Title | Plasma catalysis in ammonia production and decomposition: Use it, or lose it? | Type | A1 Journal Article | ||
Year | 2024 | Publication | Current Opinion in Green and Sustainable Chemistry | Abbreviated Journal | Current Opinion in Green and Sustainable Chemistry |
Volume | 47 | Issue | Pages | 100916 | |
Keywords | A1 Journal Article; Plasma Nitrogen fixation Ammonia Plasma catalysis Production and decomposition; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
Abstract | The combination of plasma with catalysis for the synthesis and decomposition of NH3 is an attractive route to the production of carbon-neutral fertiliser and energy carriers and its conversion into H2. Recent years have seen fast developments in the field of plasma-catalytic NH3 life cycle. This work summarises the most recent advances in plasma-catalytic and related NH3-focussed processes, identifies some of the most important discoveries, and addresses plausible strategies for future developments in plasma-based NH3 technology. | ||||
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Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2024-03-29 | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 2452-2236 | ISBN | Additional Links | ||
Impact Factor | 9.3 | Times cited | Open Access | ||
Notes | The work was supported by the Fund for Scientific Research (FWO) Flanders Bioeconomy project (grant G0G2322N) funded by the European Union-NextGe- nerationEU, the HyPACT project funded by the Belgian Energy Transition Fund, and the MSCA4Ukraine project 1233629 funded by the European Union. | Approved | Most recent IF: 9.3; 2024 IF: NA | ||
Call Number | PLASMANT @ plasmant @ | Serial | 9117 | ||
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Author | Cai, Y.; Mei, D.; Chen, Y.; Bogaerts, A.; Tu, X. | ||||
Title | Machine learning-driven optimization of plasma-catalytic dry reforming of methane | Type | A1 Journal Article | ||
Year | 2024 | Publication | Journal of Energy Chemistry | Abbreviated Journal | Journal of Energy Chemistry |
Volume | 96 | Issue | Pages | 153-163 | |
Keywords | A1 Journal Article; Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
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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Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2024-04-25 | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 2095-4956 | ISBN | Additional Links | ||
Impact Factor | 13.1 | Times cited | Open Access | ||
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 | ||
Call Number | PLASMANT @ plasmant @ | Serial | 9124 | ||
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Author | Van Gordon, K.; Ni, B.; Girod, R.; Mychinko, M.; Bevilacqua, F.; Bals, S.; Liz‐Marzán, L.M. | ||||
Title | Single Crystal and Pentatwinned Gold Nanorods Result in Chiral Nanocrystals with Reverse Handedness | Type | A1 Journal Article | ||
Year | 2024 | Publication | Angewandte Chemie International Edition | Abbreviated Journal | Angew Chem Int Ed |
Volume | Issue | Pages | |||
Keywords | A1 Journal Article; Electron Microscopy for Materials Science (EMAT) ; | ||||
Abstract | Handedness is an essential attribute of chiral nanocrystals, having a major influence on their properties. During chemical growth, the handedness of nanocrystals is usually tuned by selecting the corresponding enantiomer of chiral molecules involved in asymmetric growth, often known as chiral inducers. We report that, even using the same chiral inducer enantiomer, the handedness of chiral gold nanocrystals can be reversed by using Au nanorod seeds with either single crystalline or pentatwinned structure. This effect holds for chiral growth induced both by amino acids and by chiral micelles. Although it was challenging to discern the morphological handedness for<italic>L</italic>‐cystine‐directed particles, even using electron tomography, both cases showed circular dichroism bands of opposite sign, with nearly mirrored chiroptical signatures for chiral micelle‐directed growth, along with quasi‐helical wrinkles of inverted handedness. These results expand the chiral growth toolbox with an effect that might be exploited to yield a host of interesting morphologies with tunable optical properties. | ||||
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Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2024-05-24 | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 1433-7851 | ISBN | Additional Links | ||
Impact Factor | 16.6 | Times cited | Open Access | ||
Notes | Ana Sánchez-Iglesias is acknowledged for support in the synthesis of pentatwinned gold nanorods. The authors acknowledge financial support by the European Research Council (ERC CoG No. 815128 REALNANO to S.B.), from MCIN/AEI/10.13039/501100011033 (Grant PID2020- 117779RB-I00 to L.M.L.-M and FPI Fellowship PRE2021- 097588 to K.V.G.), and by KU Leuven (C14/22/085). This work has been funded by the European Union under Project 101131111—DELIGHT. Funding for open access charge: Universidade de Vigo/ CRUE-CISUG. | Approved | Most recent IF: 16.6; 2024 IF: 11.994 | ||
Call Number | EMAT @ emat @ | Serial | 9129 | ||
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Author | Maerivoet, S.; Tsonev, I.; Slaets, J.; Reniers, F.; Bogaerts, A. | ||||
Title | Coupled multi-dimensional modelling of warm plasmas: Application and validation for an atmospheric pressure glow discharge in CO2/CH4/O2 | Type | A1 Journal Article | ||
Year | 2024 | Publication | Chemical Engineering Journal | Abbreviated Journal | Chemical Engineering Journal |
Volume | 492 | Issue | Pages | 152006 | |
Keywords | A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
Abstract | To support experimental research into gas conversion by warm plasmas, models should be developed to explain the experimental observations. These models need to describe all physical and chemical plasma properties in a coupled way. In this paper, we present a modelling approach to solve the complete set of assumed relevant equations, including gas flow, heat balance and species transport, coupled with a rather extensive chemistry set, consisting of 21 species, obtained by reduction of a more detailed chemistry set, consisting of 41 species. We apply this model to study the combined CO2 and CH4 conversion in the presence of O2, in a direct current atmospheric pressure glow discharge. Our model can predict the experimental trends, and can explain why higher O2 fractions result in higher CH4 conversion, namely due to the higher gas temperature, rather than just by additional chemical reactions. Indeed, our model predicts that when more O2 is added, the energy required to reach any set temperature (i.e., the enthalpy) drops, allowing the system to reach higher temperatures with similar amounts of energy. This is in turn related to the higher H2O fraction and lower H2 fraction formed in the plasma, as demonstrated by our model. Altogether, our new self-consistent model can capture the main physics and chemistry occurring in this warm plasma, which is an important step towards predictive modelling for plasma-based gas conversion. | ||||
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Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2024-05-09 | ||
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ISSN | 1385-8947 | ISBN | Additional Links | ||
Impact Factor | 15.1 | Times cited | Open Access | ||
Notes | This research was supported by the Excellence of Science FWO-FNRS project (FWO grant ID G0I1822N; EOS ID 40007511) 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, and grant agreement No. 101081162–PREPARE ERC Proof of Concept project). 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: 15.1; 2024 IF: 6.216 | ||
Call Number | PLASMANT @ plasmant @ | Serial | 9132 | ||
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Author | Cai, Y.; Michiels, R.; De Luca, F.; Neyts, E.; Tu, X.; Bogaerts, A.; Gerrits, N. | ||||
Title | Improving Molecule–Metal Surface Reaction Networks Using the Meta-Generalized Gradient Approximation: CO2Hydrogenation | Type | A1 Journal Article | ||
Year | 2024 | Publication | The Journal of Physical Chemistry C | Abbreviated Journal | J. Phys. Chem. C |
Volume | 128 | Issue | 21 | Pages | 8611-8620 |
Keywords | A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; | ||||
Abstract | Density functional theory is widely used to gain insights into molecule−metal surface reaction networks, which is important for a better understanding of catalysis. However, it is well-known that generalized gradient approximation (GGA) density functionals (DFs), most often used for the study of reaction networks, struggle to correctly describe both gas-phase molecules and metal surfaces. Also, GGA DFs typically underestimate reaction barriers due to an underestimation of the selfinteraction energy. Screened hybrid GGA DFs have been shown to reduce this problem but are currently intractable for wide usage. In this work, we use a more affordable meta-GGA (mGGA) DF in combination with a nonlocal correlation DF for the first time to study and gain new insights into a catalytically important surface reaction network, namely, CO2 hydrogenation on Cu. We show that the mGGA DF used, namely, rMS-RPBEl-rVV10, outperforms typical GGA DFs by providing similar or better predictions for metals and molecules, as well as molecule−metal surface adsorption and activation energies. Hence, it is a better choice for constructing molecule−metal surface reaction networks. |
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Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2024-05-30 | ||
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ISSN | 1932-7447 | ISBN | Additional Links | ||
Impact Factor | 3.7 | Times cited | Open Access | ||
Notes | H2020 Marie Sklodowska-Curie Actions, 813393 ; Fonds Wetenschappelijk Onderzoek, 1114921N ; H2020 European Research Council, 810182 ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, 019.202EN.012 ; | Approved | Most recent IF: 3.7; 2024 IF: 4.536 | ||
Call Number | PLASMANT @ plasmant @ | Serial | 9248 | ||
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