RT Journal Article
T1 Introducing Design Strategies to Preserve N‐Heterocycles Throughout the On‐Surface Synthesis of Graphene Nanostructures
A1 Tenorio, María
A1 Moreno, César
A1 Vilas Varela, Manuel
A1 Castro Esteban, Jesús
A1 Febrer, Pol
A1 Pruneda, Miguel
A1 Peña Gil, Diego
A1 Mugarza, Aitor
K1 Graphene nanoribbons
K1 Heteroatom doping
K1 Nanoporous graphene
K1 On-surface syntheses
K1 Scanning tunneling microscopy
K1 X-ray photoelectron spectroscopy
AB Despite the impressive advances in the synthesis of atomically precise graphene nanostructures witnessed during the last decade, advancing in compositional complexity faces major challenges. The concept of introducing the desired functional groups or dopants in the molecular precursor often fails due to their lack of stability during the reaction path. Here, a study on the stability of different pyridine and pyrimidine moieties during the on-surface synthesis of graphene nanoribbons on Au(111) is presented. Combining bond-resolved scanning tunneling microscopy with X-ray photoelectron spectroscopy, the thermal evolution of the nitrogen dopants throughout the whole reaction sequence is tracked. A comparative experimental and ab initio electronic characterization confirms the presence of dopants in the final structures, revealing also that the pyridinic nitrogen leads to a significant band downshift. The results demonstrate that, by using synthetic strategies to lower the reaction temperatures, one can preserve specific N-heterocycles throughout all the reaction steps of the synthesis of graphene nanoribbons and beyond the interibbon coupling reaction that leads to nanoporous graphene
PB Wiley
SN 2366-9608
YR 2023
FD 2023
LK http://hdl.handle.net/10347/33146
UL http://hdl.handle.net/10347/33146
LA eng
NO M. Tenorio, C. Moreno, M. Vilas-Varela, J. Castro-Esteban, P. Febrer, M. Pruneda, D. Peña, A. Mugarza, Introducing Design Strategies to Preserve N-Heterocycles Throughout the On-Surface Synthesis of Graphene Nanostructures. Small Methods 2024, 8, 2300768. https://doi.org/10.1002/smtd.202300768
NO The authors acknowledge Guillaume Sauthier for assisting us with the XPS experiments. This research was funded by the CERCA Programme/Generalitat de Catalunya and supported by Grant No. SEV-2017-0706 funded by the Spanish Ministry of Economy and Competitiveness (MINECO), Grant Nos. CEX2021-001214-S, PID2019-107338RB-C65, PID2019-107338RB-C62, and PGC2018-096955-B-C43 funded by MCIN/AEI /10.13039/501100011033, FLAG-ERA grant LEGOCHIP Projects PCI2019-111890-2 and PCI2019-111933-2 funded by MCIN/AEI /10.13039/501100011033 and cofounded by the European Union, Grant Nos. TED2021-132388B-C41 and TED2021-132388B-C42 funded by MCIN/AEI /10.13039/501100011033 and the European Union NextGenerationEU/ PRTR, the GenCat (Grant No. 2017SGR1506), the European Union MaX Center of Excellence (EU-H2020 Grant No. 924143), and Xunta de Galicia (Centro de Investigación de Galicia accreditation 2019–2022, ED431G 2019/03, and Oportunius Program). C.M. was supported by Grant RYC2019-028110-I funded by MICIN/AEI/10.13039/501100011033 and by the European Social Fund “ESF Investing in your future”. M.T. was supported by Spanish State Research Agency/FSE (ref. BES-2017-08078, project ref. SEV-2013-0295-17-2). The authors thankfully acknowledge the computer resources at MareNostrum and the technical support provided by Barcelona Supercomputing Center (RES-QCM-2019-1-0051)
DS Minerva
RD 24 abr 2026