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Despite the enormous interest in the properties of graphene and the potential of graphene nanostructures in electronic applications, the study of quantum confined states in atomically well-defined graphene nanostructures remains an experimental challenge. Here, we study graphene quantum dots (GQDs) with well-defined edges in the zigzag direction, grown by chemical vapor deposition (CVD) on an iridium(111) substrate, by low-temperature scanning tunneling microscopy (STM) and spectroscopy (STS). We measure the atomic structure and local density of states (LDOS) of individual GQDs as a function of their size and shape in the range from a couple of nanometers up to ca. 20 nm. The results can be quantitatively modeled by a relativistic wave equation and atomistic tight-binding calculations. The observed states are analogous to the solutions of the text book "particle-in-a-box" problem applied to relativistic massless fermions.
accepted for publication in Phys. Rev. Lett
ta214, ta114, Condensed Matter - Mesoscale and Nanoscale Physics, ta221, graphene, quantum dot, FOS: Physical sciences, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), scanning tunneling microscopy, ta218
ta214, ta114, Condensed Matter - Mesoscale and Nanoscale Physics, ta221, graphene, quantum dot, FOS: Physical sciences, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), scanning tunneling microscopy, ta218
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 100 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |