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. 2022 Jun 7;12(12):1953.
doi: 10.3390/nano12121953.

Quantum Revivals in Curved Graphene Nanoflakes

Affiliations

Quantum Revivals in Curved Graphene Nanoflakes

Sergio de-la-Huerta-Sainz et al. Nanomaterials (Basel). .

Abstract

Graphene nanostructures have attracted a lot of attention in recent years due to their unconventional properties. We have employed Density Functional Theory to study the mechanical and electronic properties of curved graphene nanoflakes. We explore hexagonal flakes relaxed with different boundary conditions: (i) all atoms on a perfect spherical sector, (ii) only border atoms forced to be on the spherical sector, and (iii) only vertex atoms forced to be on the spherical sector. For each case, we have analysed the behaviour of curvature energy and of quantum regeneration times (classical and revival) as the spherical sector radius changes. Revival time presents in one case a divergence usually associated with a phase transition, probably caused by the pseudomagnetic field created by the curvature. This could be the first case of a phase transition in graphene nanostructures without the presence of external electric or magnetic fields.

Keywords: DFT; curvature; graphene; phase transition; quantum revivals.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
Graphene flake used in the calculations (image generated using GausView 6 [69]).
Figure 2
Figure 2
Optimized geometries for a (quasi-)spherical graphene flake of radius 40 Å (image generated using GausView 6 [69]).
Figure 3
Figure 3
Energy of a (quasi-)spherical graphene flake as a function of its curvature. Flat configuration is taken as energy origin. Lines are merely guides for the eye.
Figure 4
Figure 4
Log–log plot of the energy of a spherical graphene flake as a function of its curvature. Flat configuration is taken as energy origin. Lines are merely guides for the eye.
Figure 5
Figure 5
Value of n in Equation (2) as a function of the radius of the spherical carbon nanoflake calculated with the hybrid MM/DFT approximation.
Figure 6
Figure 6
A simple example of the time evolution of the squared modulus of the autocorrelation function in blue with its upper envelope in orange. Classical time is marked in red and revival time in green.
Figure 7
Figure 7
Classical times for a curved graphene nanoflake. Points correspond to numerical values while dotted lines represent analytical ones.
Figure 8
Figure 8
Revival times for a curved graphene nanoflake. Points correspond to numerical values while dotted lines represent analytical ones.

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