Local nano-mechanical properties in twisted double bi-layer graphene

Canetta, Alessandra and Spiece, Jean and Gonzalez-Munoz, Sergio and Nguyen, Viet-Hung and de Crombrugghe, Pauline de Crombrugghe and Agarwal, Khushboo and Hong, Yuanzhuo and Mohapatra, Sambit and Ribeiro-Palau, Rebeca and Charlier, Jean-Christophe and Kolosov, Oleg and Gehring, Pascal (2022) Local nano-mechanical properties in twisted double bi-layer graphene. In: Graphene 2022, 2022-07-052022-07-08, Eurogress Aachen.

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Abstract

Van der Waals heterostructures are tremendously versatile designer materials whose functionality can be engineered to an extend that goes far beyond the properties of the individual materials the heterostructure consists of [1]. In particular, by twisting two graphene layers, it is possible to induce an atomic reconstruction in the two-dimensional stack, which leads to a dramatic modification of the lattice symmetry [2]. This has important repercussions on its mechanical and electro-mechanical properties [3,4]. Here we investigate the local mechanical properties of double bi-layer graphene twisted by an angle ~1.1°. To this end, we employ three force microscope techniques, Piezoresponse Force Microscopy, Ultrasonic Force Microscopy and Electric Heterodyne Force Microscopy, respectively. We demonstrate that these methods are reliable and effective to visualize the Moiré pattern, to evidence the presence of strain solitons [5], and – for the first time – to extract the local Youngs modulus in such systems. Our results bring on a comprehensive study of such complex structures and unlock critical understanding of these materials. References [1] Geim, A., Grigorieva, I., Nature, 499 (2013) 419–425. [2] Dai, S., Xiang, Y., Srolovitz, D. J., Nano Lett., 16, 9 (2016) 5923–5927. [3] De Sanctis, A., Mehew, J. D., et al., Nano Lett., 18, 12 (2018) 7919–7926. [4] Li, Y., Wang, Xet al., Adv. Mater., 33 (2021) 2105879. [5] Alden, J. S., Tsen, A. W., et al., PNAS, 110 (2013) 11256–11260.

Item Type:
Contribution to Conference (Other)
Journal or Publication Title:
Graphene 2022
Uncontrolled Keywords:
Data Sharing Template/no
Subjects:
ID Code:
178371
Deposited By:
Deposited On:
01 Nov 2022 15:20
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Nov 2022 00:59