2023
DOI: 10.1002/pol.20220771
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Simulations of morphology control of self‐assembled amphiphilic surfactants

Abstract: One of the grand challenges of amphiphilic self‐assembly is the design of ordered structures whose morphology or shape can be explicitly and dynamically controlled by adjusting the properties of the amphiphiles or their surroundings. Such a capacity would enable researchers to create synthetic systems with functionality that meets or exceeds biological cells, and provide a robust platform for a broad range of engineering applications such as artificial tissues, drug delivery, and separation membranes. Despite … Show more

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Cited by 8 publications
(9 citation statements)
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“…After 35 ns the peptides reached equilibrium and remained stable throughout the simulation at approximately 4.3 nm. Such initial deviations in RMSD values are expected given the initial nucleation process during self-assembly, which is followed by aggregation resulting in self-assembled structures [51]. These results are corroborated by the rGyr values (Figure 1b), which start at 3.2 nm and gradually decrease to 35 ns.…”
Section: Remd Simulations For Self-assembly (Pro-ala-his) 10supporting
confidence: 66%
“…After 35 ns the peptides reached equilibrium and remained stable throughout the simulation at approximately 4.3 nm. Such initial deviations in RMSD values are expected given the initial nucleation process during self-assembly, which is followed by aggregation resulting in self-assembled structures [51]. These results are corroborated by the rGyr values (Figure 1b), which start at 3.2 nm and gradually decrease to 35 ns.…”
Section: Remd Simulations For Self-assembly (Pro-ala-his) 10supporting
confidence: 66%
“…A coarse-grained model was employed to represent mikto-grafted bottlebrushes since the time and length scales of interest are beyond the ones that could be explored by atomistic modeling. This model contains information on the molecular architecture of the bottlebrushes, and chemical details are encoded into soft generic intermolecular interaction parameters. Macromolecules are represented by a bead–spring model (Figure ), and the DPD formalism was used to simulate bottlebrushes at oil–water (O/W) interfaces. DPD is a mesoscopic simulation technique introduced by Hoogerbrugge and Koelman and modified by Español and Warren and Groot and Warren .…”
Section: Model and Methodsmentioning
confidence: 99%
“…Catalytic and biocatalytic reactions in particular have great potential for modulating the shape and properties of supramolecular assemblies and membranes. ,, Exploiting catalytic and biocatalytic reactions to stimulate responsive assemblies and membranes have several advantages over externally imposed chemical stimuli, including (i) translating chemical signals that do not stimulate responsive assembliese.g. the substrate on which the catalyst actsinto chemical signals that doe.g.…”
Section: Introductionmentioning
confidence: 99%