Programming hierarchical self-assembly of colloids: matching stability and accessibility

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Programming hierarchical self-assembly of colloids: matching stability and accessibility. / Morphew, Daniel; Chakrabarti, Dwaipayan.

In: Nanoscale, Vol. 10, No. 29, 07.08.2018, p. 13875-13882.

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@article{53630dec299149aa9d1c703971476f0b,
title = "Programming hierarchical self-assembly of colloids:: matching stability and accessibility",
abstract = "Encoding hierarchical self-assembly in colloidal building blocks is a promising bottom-up route to high-level structural complexity often observed in biological materials. However, harnessing this promise faces the grand challenge of bridging hierarchies of multiple length- and time-scales, associated with structure and dynamics respectively along the self- assembly pathway. Here we report on a case study, which examines the kinetic accessibility of a series of hollow spherical structures with a two-level structural hierarchy self-assembled from charge-stabilized colloidal magnetic particles. By means of a variety of computational methods, we find that for a staged assembly pathway, the structure, which derives the strongest energetic stability from the first stage of assembly and the weakest from the second stage, is most kinetically accessible. Such a striking correspondence between energetics and kinetics for optimal design principles should have general implications for programming hierarchical self-assembly pathways for nano- and micro-particles, while matching stability and accessibility.",
author = "Daniel Morphew and Dwaipayan Chakrabarti",
year = "2018",
month = aug,
day = "7",
doi = "10.1039/c7nr09258j",
language = "English",
volume = "10",
pages = "13875--13882",
journal = "Nanoscale",
issn = "2040-3364",
publisher = "Royal Society of Chemistry",
number = "29",

}

RIS

TY - JOUR

T1 - Programming hierarchical self-assembly of colloids:

T2 - matching stability and accessibility

AU - Morphew, Daniel

AU - Chakrabarti, Dwaipayan

PY - 2018/8/7

Y1 - 2018/8/7

N2 - Encoding hierarchical self-assembly in colloidal building blocks is a promising bottom-up route to high-level structural complexity often observed in biological materials. However, harnessing this promise faces the grand challenge of bridging hierarchies of multiple length- and time-scales, associated with structure and dynamics respectively along the self- assembly pathway. Here we report on a case study, which examines the kinetic accessibility of a series of hollow spherical structures with a two-level structural hierarchy self-assembled from charge-stabilized colloidal magnetic particles. By means of a variety of computational methods, we find that for a staged assembly pathway, the structure, which derives the strongest energetic stability from the first stage of assembly and the weakest from the second stage, is most kinetically accessible. Such a striking correspondence between energetics and kinetics for optimal design principles should have general implications for programming hierarchical self-assembly pathways for nano- and micro-particles, while matching stability and accessibility.

AB - Encoding hierarchical self-assembly in colloidal building blocks is a promising bottom-up route to high-level structural complexity often observed in biological materials. However, harnessing this promise faces the grand challenge of bridging hierarchies of multiple length- and time-scales, associated with structure and dynamics respectively along the self- assembly pathway. Here we report on a case study, which examines the kinetic accessibility of a series of hollow spherical structures with a two-level structural hierarchy self-assembled from charge-stabilized colloidal magnetic particles. By means of a variety of computational methods, we find that for a staged assembly pathway, the structure, which derives the strongest energetic stability from the first stage of assembly and the weakest from the second stage, is most kinetically accessible. Such a striking correspondence between energetics and kinetics for optimal design principles should have general implications for programming hierarchical self-assembly pathways for nano- and micro-particles, while matching stability and accessibility.

UR - http://www.scopus.com/inward/record.url?scp=85050819356&partnerID=8YFLogxK

U2 - 10.1039/c7nr09258j

DO - 10.1039/c7nr09258j

M3 - Article

C2 - 29993063

AN - SCOPUS:85050819356

VL - 10

SP - 13875

EP - 13882

JO - Nanoscale

JF - Nanoscale

SN - 2040-3364

IS - 29

ER -