Chinese Scientists Develop New Method for Creating Pentagon-Embedded Artificial Graphene Nanoribbons

Chinese Academy of Sciences

Graphene nanoribbons (GNRs) have attracted much attention due to their unique electronic structures with high tunability of physical structures.

However, the fabrication feasibility of artificially tuned GNRs intrinsically associated with their external properties brings considerable challenges in the synthesis of GNRs and their utilization in devices.

Now, a research team led by Prof. SONG Fei from the Shanghai Advanced Research Institute (SARI) of the Chinese Academy of Sciences has reported a novel approach to precisely fabricate well-defined GNRs with the tailored pentagon carbon embedded inside and supported on the Ag(111) model catalyst.

The results were published in The Journal of Physical Chemistry Letters on May 25.

Compared with the conventional solution-synthesis chemistry, on-surface Ullmann coupling strategy introduces feasibility and controllability on demand towards the atomically precise nanostructures of well-modified GNRs, through programmed cleavage of carbon-halogen bonding in precursors and the reconnection of carbon-carbon bonding on surface.

Moreover, by utilizing multiple precursors as designed, pentagon carbon structures can be feasibly introduced into GNRs via Ullmann coupling and cyclodehydrogenation on Ag(111), realizing the artificial modification of both nanostructures and electronic structures with high stability, as witnessed by scanning tunneling spectroscopy and density function theory.

This study provides a novel strategy to promote on-surface GNRs-based nanostructures towards field effect transistors, high-density storage devices, etc.

/Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.