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Updated: Sep 3, 2025

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities
Published on: July 24, 2015
Tailoring magnetism in silicon-doped zigzag graphene edges
Andoni Ugartemendia1,2, Aran Garcia Lekue3,4, Elisa Jimenez Izal5,6,7
1Polimero eta Material Aurreratuak Fisika, Kimika eta Teknologia Saila, Kimika Fakultatea, Euskal Herriko Unibertsitatea (UPV/EHU), M. de Lardizabal Pasealekua 3, Donostia, Euskadi, Spain.
Silicon doping of graphene edges was modeled using density functional theory. This doping induces novel magnetic properties by altering adjacent carbon atom spin orientation, offering potential spintronics applications.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Chemistry
Background:
- Single-layer graphene edges are susceptible to functionalization.
- Scanning transmission electron microscopy enables atomic-level manipulation.
- Graphene's electronic and magnetic properties are of significant research interest.
Purpose of the Study:
- To model and characterize silicon-doped zigzag graphene edges.
- To investigate the thermodynamic stability of these doped structures.
- To unveil the electronic and magnetic properties influenced by silicon doping.
Main Methods:
- Density functional theory (DFT) calculations were employed.
- A range of experimentally inspired silicon-doped zigzag graphene edge configurations were modeled.
- Thermodynamic stability, electronic, and magnetic properties were assessed.
Main Results:
- Various silicon-doped zigzag graphene edge configurations were successfully modeled.
- The thermodynamic stability of relevant configurations was determined.
- Silicon doping was shown to induce a reversion of spin orientation in adjacent carbon atoms, leading to novel magnetic properties.
Conclusions:
- Silicon doping offers a viable route to engineer the magnetic properties of graphene edges.
- The observed spin reorientation has significant implications for spintronics applications.
- This study provides a theoretical foundation for experimental efforts in silicon-doped graphene.
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