activity
20152023
most citedA Universal Length-Dependent Vibrational Mode in Graphene Nanoribbons

67 citations · 312 across the 9 of their papers we have counts for

collaborators

11 papers

cond-mat.mtrl-sci2023★ 13 cited

On-surface synthesis and characterization of Teranthene and Hexanthene: Ultrashort graphene nanoribbons with mixed armchair and zigzag edges

Gabriela Borin Barin, Marco Di Giovannantonio, Thorsten G. Lohr +8

Graphene nanoribbons (GNRs) exhibit a broad range of physicochemical properties that critically depend on their width and edge topology. While the chemically stable GNRs with armch…

cond-mat.mtrl-sci2023★ 20 cited

Quantifying Alignment and Quality of Graphene Nanoribbons: A Polarized Raman Spectroscopy Approach

Rimah Darawish, Jan Overbeck, Klaus Müllen +4

Graphene nanoribbons (GNRs) are atomically precise stripes of graphene with tunable electronic properties, making them promising for room-temperature switching applications like fi…

cond-mat.mes-hall2022

Tunable quantum dots from atomically precise graphene nanoribbons using a multi-gate architecture

Jian Zhang, Oliver Braun, Gabriela Borin Barin +14

Atomically precise graphene nanoribbons (GNRs) are increasingly attracting interest due to their largely modifiable electronic properties, which can be tailored by controlling thei…

cond-mat.mtrl-sci2022★ 46 cited

Growth optimization and device integration of narrow-bandgap graphene nanoribbons

Gabriela Borin Barin, Qiang Sun, Marco Di Giovannantonio +26

The electronic, optical and magnetic properties of graphene nanoribbons (GNRs) can be engineered by controlling their edge structure and width with atomic precision through bottom-…

cond-mat.mes-hall2021

Optimized Graphene Electrodes for contacting Graphene Nanoribbons

Oliver Braun, Jan Overbeck, Maria El Abbassi +12

Atomically precise graphene nanoribbons are a promising emerging class of designer quantum materials with electronic properties that are tunable by chemical design. However, many c…

cond-mat.mes-hall2020★ 45 cited

Benchmark and application of unsupervised classification approaches for univariate data

Maria El Abbassi, Jan Overbeck, Oliver Braun +3

Unsupervised machine learning, and in particular data clustering, is a powerful approach for the analysis of datasets and identification of characteristic features occurring throug…

cond-mat.mes-hall2019

Controlled quantum dot formation in atomically engineered graphene nanoribbons field-effect transistors

Maria El Abbassi, Mickael Perrin, Gabriela Borin Barin +12

Graphene nanoribbons (GNRs) have attracted a strong interest from researchers worldwide, as they constitute an emerging class of quantum-designed materials. The major challenges to…

cond-mat.mes-hall2019★ 67 cited

A Universal Length-Dependent Vibrational Mode in Graphene Nanoribbons

Jan Overbeck, Gabriela Borin Barin, Colin Daniels +13

Graphene nanoribbons (GNRs) have attracted considerable interest as their atomically tunable structure makes them promising candidates for future electronic devices. However, obtai…

cond-mat.mtrl-sci2019★ 41 cited

Optimized substrates and measurement approaches for Raman spectroscopy of graphene nanoribbons

Jan Overbeck, Gabriela Borin Barin, Colin Daniels +13

The on-surface synthesis of graphene nanoribbons (GNRs) allows for the fabrication of atomically precise narrow GNRs. Despite their exceptional properties which can be tuned by rib…

cond-mat.mes-hall2019★ 50 cited

In-situ strain tuning in hBN-encapsulated graphene electronic devices

Lujun Wang, Simon Zihlmann, Andreas Baumgartner +5

Using a simple setup to bend a flexible substrate, we demonstrate deterministic and reproducible in-situ strain tuning of graphene electronic devices. Central to this method is the…

cond-mat.mes-hall2015★ 30 cited

Photocurrents in a Single InAs Nanowire/ Silicon Heterojunction

Andreas Brenneis, Jan Overbeck, Julian Treu +7

We investigate the optoelectronic properties of single indium arsenide nanowires, which are grown vertically on p-doped silicon substrates. We apply a scanning photocurrent microsc…