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| Hauptseite > Publikationsdatenbank > Ion-beam modification of 2-D materials - single implant atom analysis via annular dark-field electron microscopy > print |
| Hauptseite > Publikationsdatenbank > Ion-beam modification of 2-D materials - single implant atom analysis via annular dark-field electron microscopy > print |
| 001 | 830206 | ||
| 005 | 20210129230440.0 | ||
| 024 | 7 | _ | |a 10.1016/j.ultramic.2016.12.011 |2 doi |
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| 100 | 1 | _ | |a Bangert, U. |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Ion-beam modification of 2-D materials - single implant atom analysis via annular dark-field electron microscopy |
| 260 | _ | _ | |a Amsterdam |c 2017 |b Elsevier Science |
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| 520 | _ | _ | |a Functionalisation of two-dimensional (2-D) materials via low energy ion implantation could open possibilities for fabrication of devices based on such materials. Nanoscale patterning and/or electronically doping can thus be achieved, compatible with large scale integrated semiconductor technologies. Using atomic resolution High Angle Annular Dark Field (HAADF) scanning transmission electron microscopy supported by image simulation, we show that sites and chemical nature of individual implants/ dopants in graphene, as well as impurities in hBN, can uniquely and directly be identified on grounds of their position and their image intensity in accordance with predictions from Z-contrast theories. Dopants in graphene (e.g., N) are predominantly substitutional. In other 2-Ds, e.g. dichalcogenides, the situation is more complicated since implants can be embedded in different layers and substitute for different elements. Possible configurations of Se-implants in MoS2 are discussed and image contrast calculations performed. Implants substituting for S in the top or bottom layer can undoubtedly be identified. We show, for the first time, using HAADF contrast measurement that successful Se-integration into MoS2 can be achieved via ion implantation, and we demonstrate the possibility of HAADF image contrast measurements for identifying impurities and dopants introduced into in 2-Ds. |
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