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Nourbakhsh, A.; Cantoro, M.; Klekachev, A.; Clemente, F.; Sorée, B.; van der Veen, M.H.; Vosch, T.; Stesmans, A.; Sels, B.; de Gendt, S. |
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Title |
Tuning the Fermi level of SiO2-supported single-layer graphene by thermal annealing |
Type |
A1 Journal article |
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Year |
2010 |
Publication |
Journal Of Physical Chemistry C |
Abbreviated Journal |
J Phys Chem C |
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Volume |
114 |
Issue |
5 |
Pages |
6894-6900 |
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Keywords |
A1 Journal article; Electron Microscopy for Materials Science (EMAT); |
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Abstract |
The effects of thermal annealing in inert Ar gas atmosphere of SiO2-supported, exfoliated single-layer graphene are investigated in this work. A systematic, reproducible change in the electronic properties of graphene is observed after annealing. The most prominent Raman features in graphene, the G and 2D peaks, change in accord to what is expected in the case of hole doping. The results of electrical characterization performed on annealed, back-gated field-effect graphene devices show that the neutrality point voltage VNP increases monotonically with the annealing temperature, confirming the occurrence of excess hole accumulation. No degradation of the structural properties of graphene is observed after annealing at temperatures as high as 400 °C. Thermal annealing of single-layer graphene in controlled Ar atmosphere can therefore be considered a technique to reproducibly modify the electronic structure of graphene by tuning its Fermi level. |
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Place of Publication |
Washington, D.C. |
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Wos  |
000276562500002 |
Publication Date |
2010-03-26 |
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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 |
4.536 |
Times cited |
54 |
Open Access |
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Notes |
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Approved |
Most recent IF: 4.536; 2010 IF: 4.524 |
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Call Number |
UA @ lucian @ c:irua:89508 |
Serial |
3757 |
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Author |
Liang, D.; Follens, L.R.A.; Aerts, A.; Martens, J.A.; Van Tendeloo, G.; Kirschhock, C.E.A. |
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Title |
TEM observation of aggregation steps in room-temperature silicalite-1 zeolite formation |
Type |
A1 Journal article |
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Year |
2007 |
Publication |
Journal of physical chemistry C |
Abbreviated Journal |
J Phys Chem C |
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Volume |
111 |
Issue |
39 |
Pages |
14283-14285 |
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Keywords |
A1 Journal article; Electron microscopy for materials research (EMAT) |
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Wos |
000249838300002 |
Publication Date |
2007-09-11 |
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ISSN |
1932-7447; |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
4.536 |
Times cited |
41 |
Open Access |
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Notes |
ESA; IWT – Flanders; FWO |
Approved |
Most recent IF: 4.536; 2007 IF: NA |
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Call Number |
UA @ lucian @ c:irua:66617 |
Serial |
3481 |
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Author |
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 |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
The Journal of Physical Chemistry C |
Abbreviated Journal |
J. Phys. Chem. C |
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Volume |
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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Additional Links |
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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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