Self-Assembly and Nonlinear Viscoelasticity of ABC Triblock Copolymer-Based Patchy Nanoparticle Gels

Patchy nanoparticles constructed from block copolymers offer a versatile platform for creating polymer gels with programmable networks. Here, we employed dissipative particle dynamics simulations to investigate the self-assembly and nonlinear viscoelasticity of the gels formed by ABC triblock copolymer-based patchy nanoparticles. Cross-linking A-block micelle cores generates multifunctional patchy nanoparticles with tunable patch numbers determined by the length and rigidity of B-midblocks. These structural parameters modulate the steric shielding of C-block patches, thereby regulating nanoparticle functionality, gelation kinetics, and network topology. We revealed that, distinct from classical Flory gelation, each patch on a nanoparticle can interact with multiple neighboring patches, lowering the critical reaction extent. By coupling oscillatory shear simulations with Lissajous curve decomposition, we quantified the strain-softening behavior and identified the transition between elastic-dominated and viscous-dominated regimes. Time-dependent bond dynamics and mean-square displacement further elucidate the energy dissipation arising from reversible interparticle bonding and chain relaxation. Finally, comparison with gels obtained from direct self-assembly of ABC triblock copolymers demonstrated that the cross-linked cores endow gels with significantly enhanced modulus, structural robustness, and frequency stability. This work establishes molecular design principles for engineering high-performance polymer gels.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2026-05-08
DOI
https://doi.org/10.1021/acs.macromol.5c02377
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Assembly and Nonlinear Viscoelasticity of ABC Triblock Copolymer-Based Patchy Nanoparticle Gels

Weisheng Feng, Shaoliang Lin, Liquan Wang, Yiwei Wang
Macromolecules
Block Copolymer Self-Assembly
article

Self-Assembly and Nonlinear Viscoelasticity of ABC Triblock Copolymer-Based Patchy Nanoparticle Gels

Weisheng Feng, Shaoliang Lin, Liquan Wang, Yiwei Wang
article en

Abstract

Patchy nanoparticles constructed from block copolymers offer a versatile platform for creating polymer gels with programmable networks. Here, we employed dissipative particle dynamics simulations to investigate the self-assembly and nonlinear viscoelasticity of the gels formed by ABC triblock copolymer-based patchy nanoparticles. Cross-linking A-block micelle cores generates multifunctional patchy nanoparticles with tunable patch numbers determined by the length and rigidity of B-midblocks. These structural parameters modulate the steric shielding of C-block patches, thereby regulating nanoparticle functionality, gelation kinetics, and network topology. We revealed that, distinct from classical Flory gelation, each patch on a nanoparticle can interact with multiple neighboring patches, lowering the critical reaction extent. By coupling oscillatory shear simulations with Lissajous curve decomposition, we quantified the strain-softening behavior and identified the transition between elastic-dominated and viscous-dominated regimes. Time-dependent bond dynamics and mean-square displacement further elucidate the energy dissipation arising from reversible interparticle bonding and chain relaxation. Finally, comparison with gels obtained from direct self-assembly of ABC triblock copolymers demonstrated that the cross-linked cores endow gels with significantly enhanced modulus, structural robustness, and frequency stability. This work establishes molecular design principles for engineering high-performance polymer gels.

Macromolecules
East China University of Science and Technology (CN), Ministry of Education (IR)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Block Copolymer Self-Assembly
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.