Aggregation of Graphene Flakes Under Electric Field: A Molecular Simulation Study

Graphene flakes, as two-dimensional materials, can self-assemble under certain conditions and have wide-ranging applications in industries from electronics to biomedicine due to their exceptional mechanical, thermal, and electrical properties. Recent studies indicate that single graphene flakes can be aligned by an external electric field (EF) in polar solvents like water. However, how their self-assembly behavior is influenced by the EF remains unclear. In this work, we use molecular dynamics (MD) simulations to explore the self-assembly of graphene flakes with different shapes and sizes under various EF conditions: static EF (SEF), alternating EF (AEF), and circularly polarized EF (CPEF). Our results reveal that different EF conditions significantly impact the number of pairwise bindings between flakes and the average size of the aggregates. In the absence of an EF, graphene flakes tend to form globular, round-like structures. When an EF is applied, particularly under SEF, the aggregates adopt a stretched configuration aligned with the field's direction, while AEF has a weaker alignment ability than SEF. Under CPEF, elongated aggregates rotate, following the field with a characteristic lag angle. Furthermore, while aggregates can explore more configurations under CPEF, the two-dimensional free energy landscape indicates that the stretched state is the most stable. This work deepens our understanding of how EFs influence the self-assembly of graphene flakes, potentially guiding future engineering applications for controlling the aggregation of graphene and other discotic molecules.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-02-03
DOI
https://doi.org/10.1021/acsomega.5c11004
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aggregation of Graphene Flakes Under Electric Field: A Molecular Simulation Study

Jiang Long Wang, Ge Wei, Yiping Shi, Zhiling Li et al.
ACS Omega
Graphene research and applications
article

Aggregation of Graphene Flakes Under Electric Field: A Molecular Simulation Study

Jiang Long Wang, Ge Wei, Yiping Shi, Zhiling Li, Zaigui Yang
article en

Abstract

Graphene flakes, as two-dimensional materials, can self-assemble under certain conditions and have wide-ranging applications in industries from electronics to biomedicine due to their exceptional mechanical, thermal, and electrical properties. Recent studies indicate that single graphene flakes can be aligned by an external electric field (EF) in polar solvents like water. However, how their self-assembly behavior is influenced by the EF remains unclear. In this work, we use molecular dynamics (MD) simulations to explore the self-assembly of graphene flakes with different shapes and sizes under various EF conditions: static EF (SEF), alternating EF (AEF), and circularly polarized EF (CPEF). Our results reveal that different EF conditions significantly impact the number of pairwise bindings between flakes and the average size of the aggregates. In the absence of an EF, graphene flakes tend to form globular, round-like structures. When an EF is applied, particularly under SEF, the aggregates adopt a stretched configuration aligned with the field's direction, while AEF has a weaker alignment ability than SEF. Under CPEF, elongated aggregates rotate, following the field with a characteristic lag angle. Furthermore, while aggregates can explore more configurations under CPEF, the two-dimensional free energy landscape indicates that the stretched state is the most stable. This work deepens our understanding of how EFs influence the self-assembly of graphene flakes, potentially guiding future engineering applications for controlling the aggregation of graphene and other discotic molecules.

ACS OmegaVol. 11(6)
Guizhou Institute of Biology (CN), Guizhou Institute of Technology (CN)
Openalex Percentile: Top 70%
Graphene research and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.