| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Verbeeck, Jo
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Phase coexistence induced surface roughness in V<sub>2</sub>O<sub>3</sub>/Ni magnetic heterostructurescitations
- 2024Stabilizing Perovskite Pb(Mg<sub>0.33</sub>Nb<sub>0.67</sub>)O<sub>3</sub>-PbTiO<sub>3</sub> Thin Films by Fast Deposition and Tensile Mismatched Growth Templatecitations
- 2023Low-Dose 4D-STEM Tomography for Beam-Sensitive Nanocompositescitations
- 2022On the formation mechanisms of intragranular shear bands in olivine by stress-induced amorphizationcitations
- 2021Optical versus electron diffraction imaging of Twist-angle in 2D transition metal dichalcogenide bilayerscitations
- 2021Increased performance improvement of lithium-ion batteries by dry powder coating of high-nickel NMC with nanostructured fumed ternary lithium metal oxidescitations
- 2020Single femtosecond laser pulse excitation of individual cobalt nanoparticlescitations
- 2020Reliable Characterization of Organic and Pharmaceutical Compounds with High Resolution Monochromated EEL Spectroscopycitations
- 2020Unravelling stacking order in epitaxial bilayer MX₂ using 4D-STEM with unsupervised learningcitations
- 2019Controlling the interfacial conductance in <tex>$LaAlO_{3}/SrTiO_{3}$</tex> in 90 degrees off-axis sputter depositioncitations
- 2018Getting rid of anti-solvents: gas quenching for high performance perovskite solar cellscitations
- 2017Energy level alignment and cation charge states at the <tex>$LaFeO_{3}/LaMnO_{3}$</tex> (001) heterointerfacecitations
- 2017One step toward a new generation of C-MOS compatible oxide PN junctionscitations
- 2017Direct observation of enhanced magnetism in individual size- and shape-selected 3d transition metal nanoparticlescitations
- 2016A universal deposition protocol for planar heterojunction solar cells with high efficiency based on hybrid lead halide perovskite familiescitations
- 2016Long-range domain structure and symmetry engineering by interfacial oxygen octahedral coupling at heterostructure interfacecitations
- 2016Engineering properties by long range symmetry propagation initiated at perovskite heterostructure interface
- 2015Co-rich ZnCoO nanoparticles embedded in wurtzite <tex>$Zn_{1-x}Co_{x}O$</tex> thin filmscitations
- 2014Crystal Structure and Luminescent Properties of R2-xEux(MoO4)(3) (R = Gd, Sm) Red Phosphorscitations
- 2014Influence of the structure on the properties of <tex>$Na_{x}Eu_{y}(MoO_{4})_{z}$</tex> red phosphorscitations
- 2012Artificial construction of the layered Ruddlesden–Popper Manganite La2Sr2Mn3O10by reflection high energy electron diffraction monitored pulsed laser deposition
- 2012Grain size tuning of nanocrystalline chemical vapor deposited diamond by continuous electrical bias growth: Experimental and theoretical studycitations
Places of action
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article
Unravelling stacking order in epitaxial bilayer MX₂ using 4D-STEM with unsupervised learning
Abstract
Following an extensive investigation of various monolayer transition metal dichalcogenides (MX2), research interest has expanded to include multilayer systems. In bilayer MX2, the stacking order strongly impacts the local band structure as it dictates the local confinement and symmetry. Determination of stacking order in multilayer MX(2)domains usually relies on prior knowledge of in-plane orientations of constituent layers. This is only feasible in case of growth resulting in well-defined triangular domains and not useful in-case of closed layers with hexagonal or irregularly shaped islands. Stacking order can be discerned in the reciprocal space by measuring changes in diffraction peak intensities. Advances in detector technology allow fast acquisition of high-quality four-dimensional datasets which can later be processed to extract useful information such as thickness, orientation, twist and strain. Here, we use 4D scanning transmission electron microscopy combined with multislice diffraction simulations to unravel stacking order in epitaxially grown bilayer MoS2. Machine learning based data segmentation is employed to obtain useful statistics on grain orientation of monolayer and stacking in bilayer MoS2.