Bandgap Engineering of Graphene Nanoribbons by Control over Structural Distortion

Autor: Juan Li, Lasse Arnt Straasø, Akimitsu Narita, Patrick Simon, Xinliang Feng, Klaus Müllen, Jonathan J. Finley, Michael Ryan Hansen, Yunbin Hu, Johannes V. Barth, Elisa Molinari, Jean-Sébastien Lauret, Loïc Rondin, Peng Xie, Alice Ruini, Deborah Prezzi, Felix Meggendorfer, Shen Zhao, Marzio De Corato, Carlos-Andres Palma
Přispěvatelé: Chongqing Medical University, Laboratoire Aimé Cotton (LAC), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-École normale supérieure - Cachan (ENS Cachan), Laboratoire de Photonique Quantique et Moléculaire (LPQM), École normale supérieure - Cachan (ENS Cachan)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Nano Optique et Spectroscopy (NOOS), Laboratoire Lumière, Matière et Interfaces (LuMIn), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Musée d'Anthropologie Préhistorique, Monaco, Physik Department [Garching], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Max-Planck-Institut für Polymerforschung (MPI-P), Max-Planck-Gesellschaft
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of the American Chemical Society
Journal of the American Chemical Society, American Chemical Society, 2018, 140 (25), pp.7803-7809. ⟨10.1021/jacs.8b02209⟩
Hu, Y, Xie, P, De Corato, M, Ruini, A, Zhao, S, Meggendorfer, F, Straasø, L A, Rondin, L, Simon, P, Li, J, Finley, J J, Hansen, M R, Lauret, J S, Molinari, E, Feng, X, Barth, J V, Palma, C A, Prezzi, D, Müllen, K & Narita, A 2018, ' Bandgap Engineering of Graphene Nanoribbons by Control over Structural Distortion ', Journal of the American Chemical Society, vol. 140, no. 25, pp. 7803-7809 . https://doi.org/10.1021/jacs.8b02209
Journal of the American Chemical Society (Online) 140 (2018): 7803–7809. doi:10.1021/jacs.8b02209
info:cnr-pdr/source/autori:Hu Y.; Xie P.; De Corato M.; Ruini A.; Zhao S.; Meggendorfer F.; Straaso L.A.; Rondin L.; Simon P.; Li J.; Finley J.J.; Hansen M.R.; Lauret J.-S.; Molinari E.; Feng X.; Barth J.V.; Palma C.-A.; Prezzi D.; Mullen K.; Narita A./titolo:Bandgap Engineering of Graphene Nanoribbons by Control over Structural Distortion/doi:10.1021%2Fjacs.8b02209/rivista:Journal of the American Chemical Society (Online)/anno:2018/pagina_da:7803/pagina_a:7809/intervallo_pagine:7803–7809/volume:140
ISSN: 0002-7863
1520-5126
DOI: 10.1021/jacs.8b02209⟩
Popis: Among organic electronic materials, graphene nanoribbons (GNRs) offer extraordinary versatility as next-generation semiconducting materials for nanoelectronics and optoelectronics due to their tunable properties, including charge-carrier mobility, optical absorption, and electronic bandgap, which are uniquely defined by their chemical structures. Although planar GNRs have been predominantly considered until now, nonplanarity can be an additional parameter to modulate their properties without changing the aromatic core. Herein, we report theoretical and experimental studies on two GNR structures with "cove"-type edges, having an identical aromatic core but with alkyl side chains at different peripheral positions. The theoretical results indicate that installment of alkyl chains at the innermost positions of the "cove"-type edges can "bend" the peripheral rings of the GNR through steric repulsion between aromatic protons and the introduced alkyl chains. This structural distortion is theoretically predicted to reduce the bandgap by up to 0.27 eV, which is corroborated by experimental comparison of thus synthesized planar and nonplanar GNRs through UV-vis-near-infrared absorption and photoluminescence excitation spectroscopy. Our results extend the possibility of engineering GNR properties, adding subtle structural distortion as a distinct and potentially highly versatile parameter.
Databáze: OpenAIRE