Spatiotemporal Characteristics of the Hierarchical Relaxation Dynamics for Topological Soft Nanoparticles

Soft nanoparticles (<b>SNPs</b>) bring great opportunities for broad fields by introducing shape deformability to NPs and launching the dimensionality of the structural unit topology for polymers. However, the intrinsic characteristics that govern <b>SNPs</b>' unique properties and functions are still vague. Herein, sub-1 nm polyhedral oligomeric silsesquioxane (POSS) units are covalently assembled into model <b>SNP</b> systems with monodispersed structures and diverse topologies. With the help of dielectric and nuclear magnetic resonance examinations, the hierarchical relaxation dynamics can be identified as the rotation of the phenyl group, the subdiffusive dynamics of terminal POSSs, and the diffusion of <b>SNPs</b>. Rheology and thermal analysis directly correlate the relaxation dynamics to <b>SNPs</b>' mechanical and thermal properties, which unravel the molecular mechanisms of the topology effect and supramolecular interaction in regulating materials' viscoelasticity. Our work lays solid groundwork for understanding the structure-dynamics-viscoelasticity relationships and further spurs the rational design of emergent <b>SNP</b> materials with desired properties.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2025-08-18
DOI
https://doi.org/10.1021/acs.nanolett.5c03134
Primary Topic
Silicone and Siloxane Chemistry
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Spatiotemporal Characteristics of the Hierarchical Relaxation Dynamics for Topological Soft Nanoparticles

Rongchun Zhang, Jia‐Fu Yin, Panchao Yin, Wei Liu‐Fu et al.
2 links
Nano Letters
Silicone and Siloxane Chemistry
article

Spatiotemporal Characteristics of the Hierarchical Relaxation Dynamics for Topological Soft Nanoparticles

Rongchun Zhang, Jia‐Fu Yin, Panchao Yin, Wei Liu‐Fu, Haiyan Xiao, Jiadong Chen, Linjie Lan, Tianchen Wang, Zhiwei Yan
article en

Abstract

Soft nanoparticles (<b>SNPs</b>) bring great opportunities for broad fields by introducing shape deformability to NPs and launching the dimensionality of the structural unit topology for polymers. However, the intrinsic characteristics that govern <b>SNPs</b>' unique properties and functions are still vague. Herein, sub-1 nm polyhedral oligomeric silsesquioxane (POSS) units are covalently assembled into model <b>SNP</b> systems with monodispersed structures and diverse topologies. With the help of dielectric and nuclear magnetic resonance examinations, the hierarchical relaxation dynamics can be identified as the rotation of the phenyl group, the subdiffusive dynamics of terminal POSSs, and the diffusion of <b>SNPs</b>. Rheology and thermal analysis directly correlate the relaxation dynamics to <b>SNPs</b>' mechanical and thermal properties, which unravel the molecular mechanisms of the topology effect and supramolecular interaction in regulating materials' viscoelasticity. Our work lays solid groundwork for understanding the structure-dynamics-viscoelasticity relationships and further spurs the rational design of emergent <b>SNP</b> materials with desired properties.

Nano LettersVol. 25(34)
Guangdong University of Technology (CN), South China University of Technology (CN)
Scientific and Technological Planning Project of Guangzhou City, National Natural Science Foundation of China, National Postdoctoral Program for Innovative Talents
Openalex Percentile: Top 85%
Silicone and Siloxane Chemistry
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.