Self-assembly kinetics of miktoarm star polymers in diverse solvent environments: insights from dissipative particle dynamics simulations

We present the self-assembly kinetics of miktoarm star polymers (MSPs) with compositional and topological asymmetries in various solvents using three-dimensional dissipative particle dynamics simulations. Morphological evolution, analyzed <i>via</i> radial distribution, spatial correlation functions, and domain growth exponents, reveals distinct structures driven by solvent-MSP interactions. Good solvents promote a mostly slow domain growth rate, resulting in a porous morphology, whereas poor solvents facilitate a faster growth rate and lead to denser and localized lamellar or cylindrical structures. Domain growth follows a power-law behavior with an exponent of nearly 1/3 in the early diffusive regime; however, the growth rate and saturation of the domain size vary with solvent quality. Topologically asymmetric MSPs form interconnected bicontinuous morphologies in good solvents and localized lamellae in poor solvents. The correlation function scaling deviates from universality in symmetric interactions but exhibits better collapse when one arm is solvophilic. Thermodynamic analysis shows that increasing solvophobicity reduces entropy, raises enthalpy, and thus influences self-assembly kinetics. These findings significantly improve our understanding of complex MSP self-assembly under different solvent conditions and offer pathways for designing polymeric materials with diverse functionalities.

Authors

Institutions

Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00205b
Citations
2
Primary Topic
Advanced Polymer Synthesis and Characterization
Type
article
Field-Weighted Citation Impact
1.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-assembly kinetics of miktoarm star polymers in diverse solvent environments: insights from dissipative particle dynamics simulations

Awaneesh Singh, D. K. Verma
2 citations
Soft Matter
Advanced Polymer Synthesis and Characterization
1.87
article

Self-assembly kinetics of miktoarm star polymers in diverse solvent environments: insights from dissipative particle dynamics simulations

Awaneesh Singh, D. K. Verma
article en
2 citations

Abstract

We present the self-assembly kinetics of miktoarm star polymers (MSPs) with compositional and topological asymmetries in various solvents using three-dimensional dissipative particle dynamics simulations. Morphological evolution, analyzed <i>via</i> radial distribution, spatial correlation functions, and domain growth exponents, reveals distinct structures driven by solvent-MSP interactions. Good solvents promote a mostly slow domain growth rate, resulting in a porous morphology, whereas poor solvents facilitate a faster growth rate and lead to denser and localized lamellar or cylindrical structures. Domain growth follows a power-law behavior with an exponent of nearly 1/3 in the early diffusive regime; however, the growth rate and saturation of the domain size vary with solvent quality. Topologically asymmetric MSPs form interconnected bicontinuous morphologies in good solvents and localized lamellae in poor solvents. The correlation function scaling deviates from universality in symmetric interactions but exhibits better collapse when one arm is solvophilic. Thermodynamic analysis shows that increasing solvophobicity reduces entropy, raises enthalpy, and thus influences self-assembly kinetics. These findings significantly improve our understanding of complex MSP self-assembly under different solvent conditions and offer pathways for designing polymeric materials with diverse functionalities.

Soft MatterVol. 21(20)
Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Openalex Percentile: Top 16%
Advanced Polymer Synthesis and Characterization
1.87
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.