2021
DOI: 10.48550/arxiv.2110.14627
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Controlling morphology in hybrid isotropic/patchy particle assemblies

Srinivas Mushnoori,
Jack A. Logan,
Alexei V. Tkachenko
et al.

Abstract: Brownian Dynamics is used to study self-assembly in a hybrid system of istotropic particles (IPs), combined with anisotropic building blocks that represent special "designer particles". Those are modeled as spherical patchy particles (PPs) with binding only allowed between their patches and IPs. In this study, two types of PPs are considered: Octahedral PPs (Oh-PPs) and Square PPs (Sq-PPs), with octahedral and square arrangements of patches, respectively. The self-assembly is additionally facilitated by the si… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 37 publications
(43 reference statements)
0
1
0
Order By: Relevance
“…The tuning can be achieved with different strategies such as minimizing the deviation from the target [5][6][7][8], statistical fluctuations [9,10], and more recently via learning algorithms [11,12]. Geometrical approaches, on the other hand, use geometric features of the target structure to constrain the symmetry of the building blocks [13][14][15][16][17][18][19][20][21][22][23]. While being more readily realizable in experiment, designing the interactions often requires a high degree of geometrical intuition.…”
mentioning
confidence: 99%
“…The tuning can be achieved with different strategies such as minimizing the deviation from the target [5][6][7][8], statistical fluctuations [9,10], and more recently via learning algorithms [11,12]. Geometrical approaches, on the other hand, use geometric features of the target structure to constrain the symmetry of the building blocks [13][14][15][16][17][18][19][20][21][22][23]. While being more readily realizable in experiment, designing the interactions often requires a high degree of geometrical intuition.…”
mentioning
confidence: 99%