activity
20192025
most citedA Universal Length-Dependent Vibrational Mode in Graphene Nanoribbons

67 citations · 155 across the 7 of their papers we have counts for

collaborators

9 papers

cond-mat.mes-hall2025

Optimized Synthesis and Device Integration of Long 17-Atom-Wide Armchair Graphene Nanoribbons

Jeong Ha Hwang, Nicolò Bassi, Mayada Fadel +15

Seventeen-carbon-atom-wide armchair graphene nanoribbons (17-AGNRs) are promising candidates for high-performance electronic devices due to their narrow electronic bandgap. Atomic…

cond-mat.mtrl-sci2024★ 2 cited

The role of precursor coverage in the synthesis and substrate transfer of graphene nanoribbons

Rimah Darawish, Oliver Braun, Klaus Muellen +4

Graphene nanoribbons (GNRs) with atomically precise widths and edge topologies have well-defined band gaps that depend on ribbon dimensions, making them ideal for room-temperature…

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.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-hall2021

Spatially mapping the thermal conductivity of graphene by an opto-thermal method

Oliver Braun, Roman Furrer, Pascal Butti +5

Mapping the thermal transport properties of materials at the nanoscale is of critical importance for optimizing heat conduction in nanoscale devices. Several methods to determine t…

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…