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Zheng, J.; Zhang, H.; Lv, J.; Zhang, M.; Wan, J.; Gerrits, N.; Wu, A.; Lan, B.; Wang, W.; Wang, S.; Tu, X.; Bogaerts, A.; Li, X. |
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Title |
Enhanced NH3Synthesis from Air in a Plasma Tandem-Electrocatalysis System Using Plasma-Engraved N-Doped Defective MoS2 |
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A1 Journal Article |
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Year |
2023 |
Publication |
JACS Au |
Abbreviated Journal |
JACS Au |
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Volume |
3 |
Issue |
5 |
Pages |
1328-1336 |
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A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
We have developed a sustainable method to produce NH3 directly from air using a plasma tandem-electrocatalysis system that operates via the N2−NOx−NH3 pathway. To efficiently reduce NO2− to NH3, we propose a novel electrocatalyst consisting of defective N-doped molybdenum sulfide nanosheets on vertical graphene arrays (N-MoS2/VGs). We used a plasma engraving process to form the metallic 1T phase, N doping, and S vacancies in the electrocatalyst simultaneously. Our system exhibited a remarkable NH3 production rate of 7.3 mg h−1 cm−2 at −0.53 V vs RHE, which is almost 100 times higher than the state-of-the-art electrochemical nitrogen reduction reaction and more than double that of other hybrid systems. Moreover, a low energy consumption of only 2.4 MJ molNH3−1 was achieved in this study. Density functional theory calculations revealed that S vacancies and doped N atoms play a dominant role in the selective reduction of NO2− to NH3. This study opens up new avenues for efficient NH3 production using cascade systems. |
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000981779300001 |
Publication Date |
2023-05-22 |
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ISSN |
2691-3704 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Not_Open_Access |
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Notes |
ACKNOWLEDGMENTS This work was supported by the National Natural Science Foundation of China (51976191, 5227060056, 52276214) and the National Key Technologies R&D Program of China (2018YFE0117300). N.G. was financially supported through an NWO Rubicon Grant (019.202EN.012). X.T. acknowl- edges the support of the Engineering and Physical Sciences Research Council (EP/X002713/1). |
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Most recent IF: NA |
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Call Number |
PLASMANT @ plasmant @c:irua:196761 |
Serial |
8792 |
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Tchakoua, T.; Powell, A.D.; Gerrits, N.; Somers, M.F.; Doblhoff-Dier, K.; Busnengo, H.F.; Kroes, G.-J. |
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Title |
Simulating highly activated sticking of H₂ on Al(110) : quantum versus quasi-classical dynamics |
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A1 Journal article |
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Year |
2023 |
Publication |
The journal of physical chemistry: C : nanomaterials and interfaces |
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127 |
Issue |
11 |
Pages |
5395-5407 |
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A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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We evaluate the importance of quantum effects on the sticking of H2 on Al(110) for conditions that are close to those of molecular beam experiments that have been done on this system. Calculations with the quasi-classical trajectory (QCT) method and with quantum dynamics (QD) are performed using a model in which only motion in the six molecular degrees of freedom is allowed. The potential energy surface used has a minimum barrier height close to the value recently obtained with the quantum Monte Carlo method. Monte Carlo averaging over the initial rovibrational states allowed the QD calculations to be done with an order of magnitude smaller computational expense. The sticking probability curve computed with QD is shifted to lower energies relative to the QCT curve by 0.21 to 0.05 kcal/mol, with the highest shift obtained for the lowest incidence energy. Quantum effects are therefore expected to play a small role in calculations that would evaluate the accuracy of electronic structure methods for determining the minimum barrier height to dissociative chemisorption for H2 + Al(110) on the basis of the standard procedure for comparing results of theory with molecular beam experiments. |
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000971346700001 |
Publication Date |
2023-03-14 |
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ISSN |
1932-7447; 1932-7455 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.7 |
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Open Access |
OpenAccess |
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Approved |
Most recent IF: 3.7; 2023 IF: 4.536 |
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Call Number |
UA @ admin @ c:irua:196071 |
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8525 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Tchakoua, T.; Gerrits, N.; Smeets, E.W.F.; Kroes, G.-J. |
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Title |
SBH17 : benchmark database of barrier heights for dissociative chemisorption on transition metal surfaces |
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A1 Journal article |
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Year |
2023 |
Publication |
Journal of chemical theory and computation |
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Volume |
19 |
Issue |
1 |
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245-270 |
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Keywords |
A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Accurate barriers for rate controlling elementary reactions on metal surfaces are key to understanding, controlling, and predicting the rate of heterogeneously catalyzed processes. While barrier heights for gas phase reactions have been extensively benchmarked, dissociative chemisorption barriers for the reactions of molecules on metal surfaces have received much less attention. The first database called SBH10 and containing 10 entries was recently constructed based on the specific reaction parameter approach to density functional theory (SRP-DFT) and experimental results. We have now constructed a new and improved database (SBH17) containing 17 entries based on SRP-DFT and experiments. For this new SBH17 benchmark study, we have tested three algorithms (high, medium, and light) for calculating barrier heights for dissociative chemisorption on metals, which we have named for the amount of computational effort involved in their use. We test the performance of 14 density functionals at the GGA, GGA+vdW-DF, and meta-GGA rungs. Our results show that, in contrast with the previous SBH10 study where the BEEF-vdW-DF2 functional seemed to be most accurate, the workhorse functional PBE and the MS2 density functional are the most accurate of the GGA and meta-GGA functionals tested. Of the GGA+vdW functionals tested, the SRP32-vdW-DF1 functional is the most accurate. Additionally, we found that the medium algorithm is accurate enough for assessing the performance of the density functionals tested, while it avoids geometry optimizations of minimum barrier geometries for each density functional tested. The medium algorithm does require metal lattice constants and interlayer distances that are optimized separately for each functional. While these are avoided in the light algorithm, this algorithm is found not to give a reliable description of functional performance. The combination of relative ease of use and demonstrated reliability of the medium algorithm will likely pave the way for incorporation of the SBH17 database in larger databases used for testing new density functionals and electronic structure methods. |
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000903286100001 |
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2022-12-19 |
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ISSN |
1549-9618 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
5.5 |
Times cited |
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Open Access |
OpenAccess |
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Approved |
Most recent IF: 5.5; 2023 IF: 5.245 |
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Call Number |
UA @ admin @ c:irua:193426 |
Serial |
7274 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Gerrits, N.; Jackson, B.; Bogaerts, A. |
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Title |
Accurate Reaction Probabilities for Translational Energies on Both Sides of the Barrier of Dissociative Chemisorption on Metal Surfaces |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
The Journal of Physical Chemistry Letters |
Abbreviated Journal |
J. Phys. Chem. Lett. |
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Volume |
15 |
Issue |
9 |
Pages |
2566-2572 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Molecular dynamics simulations are essential for a better understanding of dissociative chemisorption on metal surfaces, which is often the rate-controlling step in heterogeneous and plasma catalysis. The workhorse quasi-classical trajectory approach ubiquitous in molecular dynamics is able to accurately predict reactivity only for high translational and low vibrational energies. In contrast, catalytically relevant conditions generally involve low translational and elevated vibrational energies. Existing quantum dynamics approaches are intractable or approximate as a result of the large number of degrees of freedom present in molecule−metal surface reactions. Here, we extend a ring polymer molecular dynamics approach to fully include, for the first time, the degrees of freedom of a moving metal surface. With this approach, experimental sticking probabilities for the dissociative chemisorption of methane on Pt(111) are reproduced for a large range of translational and vibrational energies by including nuclear quantum effects and employing full-dimensional simulations. |
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001177959900001 |
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2024-03-07 |
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1948-7185 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
5.7 |
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Notes |
Nick Gerrits has been financially supported through a Dutch Research Council (NWO) Rubicon grant (019.202EN.012). The computational resources and services used in this work were provided by the high performance computing (HPC) core facility CalcUA of the Universiteit Antwerpen and the Flemish Supercomputer Center (VSC) funded by the Research Foundation−Flanders (FWO) and the Flemish Government. The authors thank Mark Somers for useful discussions. |
Approved |
Most recent IF: 5.7; 2024 IF: 9.353 |
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Call Number |
PLASMANT @ plasmant @c:irua:204818 |
Serial |
9114 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Gerrits, N. |
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Title |
Accurate simulations of the reaction of H₂ on a curved Pt crystal through machine learning |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Journal Of Physical Chemistry Letters |
Abbreviated Journal |
J Phys Chem Lett |
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Volume |
12 |
Issue |
51 |
Pages |
12157-12164 |
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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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Theoretical studies on molecule-metal surface reactions have so far been limited to small surface unit cells due to computational costs. Here, for the first time molecular dynamics simulations on very large surface unit cells at the level of density functional theory are performed, allowing a direct comparison to experiments performed on a curved crystal. Specifically, the reaction of D-2 on a curved Pt crystal is investigated with a neural network potential (NNP). The developed NNP is also accurate for surface unit cells considerably larger than those that have been included in the training data, allowing dynamical simulations on very large surface unit cells that otherwise would have been intractable. Important and complex aspects of the reaction mechanism are discovered such as diffusion and a shadow effect of the step. Furthermore, conclusions from simulations on smaller surface unit cells cannot always be transfered to larger surface unit cells, limiting the applicability of theoretical studies of smaller surface unit cells to heterogeneous catalysts with small defect densities. |
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000734045900001 |
Publication Date |
2021-12-17 |
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1948-7185 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
9.353 |
Times cited |
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Open Access |
OpenAccess |
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Approved |
Most recent IF: 9.353 |
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Call Number |
UA @ admin @ c:irua:184717 |
Serial |
7413 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Cai, Y.; Michiels, R.; De Luca, F.; Neyts, E.; Tu, X.; Bogaerts, A.; Gerrits, N. |
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Title |
Improving Molecule–Metal Surface Reaction Networks Using the Meta-Generalized Gradient Approximation: CO2Hydrogenation |
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A1 Journal Article |
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2024 |
Publication |
The Journal of Physical Chemistry C |
Abbreviated Journal |
J. Phys. Chem. C |
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128 |
Issue |
21 |
Pages |
8611-8620 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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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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Publication Date |
2024-05-30 |
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ISSN |
1932-7447 |
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Impact Factor |
3.7 |
Times cited |
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Open Access |
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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 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9248 |
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Permanent link to this record |