2021
DOI: 10.1021/acs.jpcc.0c11447
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Stacking of Monolayer Graphene Particles at a Water–Vapor Interface

Abstract: Two-dimensional (2D) materials such as graphene prefer to interact in a face-to-face manner when colloidally suspended but are forced to interact in an edge-to-edge manner when trapped at a fluid−fluid interface. However, molecular dynamics (MD) simulations suggest these platelet-like particles can spontaneously stack and adopt the preferred face-to-face orientation after lateral edge-to-edge assembly, while experiments tend to contradict these findings. Thus, conditions under which these stacking events occur… Show more

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Cited by 9 publications
(16 citation statements)
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“…Understanding the dynamics of particle agglomeration and stacking is crucial as it can explain certain differences between numerical and experimental observations. For instance, in the case of pristine graphene, the typical stacking time for particles trapped at a water-vapor interface was found to increase exponentially with the contact edge length of the particles [41] . Therefore, stacking is more likely to be observed with nanometric particles during molecular dynamics simulations, than it is during experiments that typically involve micrometric particles [41,49] .…”
Section: Resultsmentioning
confidence: 99%
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“…Understanding the dynamics of particle agglomeration and stacking is crucial as it can explain certain differences between numerical and experimental observations. For instance, in the case of pristine graphene, the typical stacking time for particles trapped at a water-vapor interface was found to increase exponentially with the contact edge length of the particles [41] . Therefore, stacking is more likely to be observed with nanometric particles during molecular dynamics simulations, than it is during experiments that typically involve micrometric particles [41,49] .…”
Section: Resultsmentioning
confidence: 99%
“…23 For GO particles with a low or a zero degree of basal oxidation (respectively, red disks and black triangles in Figure 8), nonlinearities of ΔE ads as a function of N are found, with the adsorption of the test particle being the less favorable for N = 2 and the most favorable for largest values of N. We link these nonlinearities with the tendency of pristine graphene to form clusters in bulk water as well as at the interface between water and vapor. 41 By forming clusters, graphene particles reduce the contact area with water while increasing the more energetically favorable graphene−graphene contact. 42,43 However, such a simple picture does not account for minimums of |ΔE ads | for N = 2.…”
Section: Resultsmentioning
confidence: 99%
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“…8), non-linearities of ∆E ads as a function of N are found, with the adsorption of the test particle being the less favorable for N = 2, and the most favorable for largest values of N . We link these non-linearities with the tendency of pristine graphene to form clusters in bulk water as well as at the interface between water and vapor [41] . By forming clusters, graphene particles reduce the contact area with water, while increasing the more energetically favorable graphene-graphene contact.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, in the case of pristine graphene, the typical stacking time for particles trapped at a water-vapor interface was found to increase exponentially with the contact edge length of the particles [41] . Therefore, stacking is more likely to be observed with nanometric particles during molecular dynamics simulations, than it is during experiments that typically involve micrometric particles [41,49] . In the case of GO, oxygen groups at the edges and basal plane of the particles are known to affect the particle-particle energy of…”
Section: Resultsmentioning
confidence: 99%