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Article Dans Une Revue Nanoscale Année : 2019

Tuning graphene transistors through ad hoc electrostatics induced by a nanometer-thick molecular underlayer

Résumé

We report on the modulation of the electrical properties of graphene-based transistors that mirrors the properties of a few nanometers thick layer made of dipolar molecules sandwiched in-between the 2D material and the SiO2 dielectric substrate. The chemical composition of the films of quinonomonoimines zwitterions molecules adsorbed onto SiO2 has been explored by means of X-ray photoemission and mass spectroscopies. Graphene-based devices are then fabricated by transferring the 2D material onto the molecular film, followed by the top source-drain electrodes deposition. The degree of supramolecular order in disordered films of dipolar molecules was found to be partially improved as a result of the electric field at low temperatures, as revealed by the emergence of hysteresis in the transfer curves of the transistors. The use of molecules from the same family and suitably designed to interact with the dielectric surface yields a disapperance of the hysteresis. DFT calculations confirm that the dressing of the molecules by an external electric field exhibits multiple energy minima landscape that explains the thermally-stabilized capacitive coupling observed. This study demonstrates that the design and exploitation of ad-hoc molecules as interlayer between a dielectic substrate and graphene represents a powerful tool for tuning the electrical properties of the 2D material. Conversely, graphene can be used as an indicator of the stability of molecular layers, by providing insight into the energetics of ordering of dipolar molecules under the effect of electrical gating.

Domaines

Matériaux
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Dates et versions

hal-02289565 , version 1 (16-09-2019)

Identifiants

Citer

Ather Mahmood, Cheol-Soo Yang, Seunghun Jang, Lucie Routaboul, Hyunju Chang, et al.. Tuning graphene transistors through ad hoc electrostatics induced by a nanometer-thick molecular underlayer. Nanoscale, 2019, ⟨10.1039/C9NR06407A⟩. ⟨hal-02289565⟩
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