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Jani Kotakoski

Researcher at University of Vienna

Publications -  191
Citations -  12990

Jani Kotakoski is an academic researcher from University of Vienna. The author has contributed to research in topics: Graphene & Scanning transmission electron microscopy. The author has an hindex of 45, co-authored 174 publications receiving 10842 citations. Previous affiliations of Jani Kotakoski include Technische Universität Darmstadt & Tel Aviv University.

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Atom-by-atom observation of grain boundary migration in graphene.

TL;DR: Grain boundary migration in polycrystalline graphene is investigated in an aberration-corrected transmission electron microscope, exploiting the energy of the imaging electrons to stimulate individual bond rotations in the GB core region, revealing configurational fluctuations that take on a time-averaged preferential direction only in the presence of significant boundary curvature.
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Charge transport in polycrystalline graphene: challenges and opportunities.

TL;DR: Numerical simulations and transport measurements are used to demonstrate that electrical properties and chemical modification of graphene grain boundaries are strongly correlated, which provides guidelines for the improvement of graphene devices and opens a new research area of engineering graphenegrain boundaries for highly sensitive electro-biochemical devices.
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Manipulating low-dimensional materials down to the level of single atoms with electron irradiation

TL;DR: It is shown how momentum transfer from the electrons of a 60-keV Ångström-sized STEM probe can be used to move silicon atoms embedded in the graphene lattice with atomic precision.
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Raman characterization of platinum diselenide thin films

TL;DR: In this paper, a 1g and a 1 g Raman active modes were identified using polarization measurements in the Raman setup, showing a clear position and intensity dependence with film thickness for multiple excitation wavelengths.
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Cutting and controlled modification of graphene with ion beams.

TL;DR: A kinetic Monte Carlo code is developed for modeling morphological changes in a graphene monolayer under irradiation at macroscopic time scales and can be used for the optimization of graphene cutting and patterning with focused ion beams.