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Simulation methods for self-assembling nanoparticles

delete2024-04-01
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PRE
AI
P
Petr Král *
H
Henry Chan
L
Lela Vuković
S
S. Shanmuga Sundara Raj
S
Soumyo Sen
Y
Yanxiao Han
M
Michał Sawczyk
DOI:10.1016/j.pmatsci.2023.101225delete
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Abstract

Abstract

En 中文
In the last decades, nanoparticles (NPs) have been assembled into clusters, low-dimensional superstructures, crystallites, and bulk materials. Typically, the self-assembly processes are controlled by competing and relatively complex interactions acting between the nanoscale components, which depend on the types of NPs, solvents, and external fields. Here, we show how selected mean-field, coarse-grained, atomistic, and quantum simulation methods are used at different scales to describe systems of self-assembling NPs studied experimentally. These simulation methods can provide in-depth understanding of the processes active during the formation of these systems.
Keywords:
VAN-DER-WAALS
MOLECULAR-DYNAMICS
NANOCRYSTALS
CRYSTALLIZATION
TRANSFORMATION
EQUILIBRIUM
FORCES
FIELD

Journal

Progress in Materials Science cover
Progress in Materials Science
IF:
40
Papers:
1.4K
Citations:
3.7W

Organization

U
University of Illinois Chicago
Scholars:
1.7W
Papers: 1.4W
Citations: 3.0W
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644