Healing Defects in Armchair Graphene Nanoribbons for Enhanced Charge Transport

Graphene nanoribbons (GNRs) are promising carbon-based nanomaterials for next-generation nanoelectronic devices. However, their synthesis (in-solution or on-surface) is not perfect and the impact of defects in the sp<sup>2</sup> carbon lattice of GNRs on their charge transport properties is not yet fully understood. Here, we investigate the influence of lattice defects on the macroscopic charge transport in thin films of solution-synthesized 9-armchair GNRs (9-aGNRs) with intrinsic edge defects. The density of these edge defects could be reduced by thermal annealing at 260-300 °C in inert atmosphere, which is proposed to induce postsynthetic cyclization. The decreasing number of defects with annealing time and temperature was corroborated by absorption spectroscopy and a decreasing D/G Raman mode ratio while the film morphologies remained unaltered. Annealed 9-aGNR films showed ambipolar charge transport characteristics in electrolyte-gated transistors with significantly higher on-currents, transconductances and on/off-ratios for both hole and electron transport compared to films that were annealed below the temperature required for defect healing. Consequently, defect healing by annealing in inert atmosphere should be a key step in GNR device processing to achieve optimal charge transport.

Authors

Institutions

Publication Details

Journal
ACS Applied Nano Materials
Published
2025-06-06
DOI
https://doi.org/10.1021/acsanm.5c01848
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Healing Defects in Armchair Graphene Nanoribbons for Enhanced Charge Transport

Finn L. Sebastian, Niklas J. Herrmann, Jana Zaumseil, Sebastian Lindenthal et al.
ACS Applied Nano Materials
Graphene research and applications
article

Healing Defects in Armchair Graphene Nanoribbons for Enhanced Charge Transport

Finn L. Sebastian, Niklas J. Herrmann, Jana Zaumseil, Sebastian Lindenthal, Nicolas F. Zorn
article en

Abstract

Graphene nanoribbons (GNRs) are promising carbon-based nanomaterials for next-generation nanoelectronic devices. However, their synthesis (in-solution or on-surface) is not perfect and the impact of defects in the sp<sup>2</sup> carbon lattice of GNRs on their charge transport properties is not yet fully understood. Here, we investigate the influence of lattice defects on the macroscopic charge transport in thin films of solution-synthesized 9-armchair GNRs (9-aGNRs) with intrinsic edge defects. The density of these edge defects could be reduced by thermal annealing at 260-300 °C in inert atmosphere, which is proposed to induce postsynthetic cyclization. The decreasing number of defects with annealing time and temperature was corroborated by absorption spectroscopy and a decreasing D/G Raman mode ratio while the film morphologies remained unaltered. Annealed 9-aGNR films showed ambipolar charge transport characteristics in electrolyte-gated transistors with significantly higher on-currents, transconductances and on/off-ratios for both hole and electron transport compared to films that were annealed below the temperature required for defect healing. Consequently, defect healing by annealing in inert atmosphere should be a key step in GNR device processing to achieve optimal charge transport.

ACS Applied Nano MaterialsVol. 8(24)
Heidelberg University (DE), Institute of Physical Chemistry (PL)
H2020 European Research Council
Affordable and clean energy
Openalex Percentile: Top 91%
Graphene research and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.