Evidence map›Paper›PMID 41263011›Full record

Articlenpj soft matter2025

Porous nanoparticles overcome the conventional stiffness-damping tradeoff in polymer nanocomposites.

Zhangke Yang, Zhaoxu Meng

Abstract read
In one paragraph

Article in npj soft matter, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Zhangke YangDepartment of Mechanical Engineering, Clemson University, Clemson, SC 29634 USA.
Zhaoxu MengDepartment of Mechanical Engineering, Clemson University, Clemson, SC 29634 USA.

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Peng Chen · 2018 to 2026
$24.7M
NIGMS NIH HHS P20 GM121342
6 · The paper itself

Abstract

Nanoparticle-reinforced polymer nanocomposites offer tunable mechanical properties, yet the impact of nanoparticle surface configurations on mechanical and viscoelastic properties remains underexplored. Using coarse-grained molecular dynamics simulations, we investigate how smooth, corrugated, and porous nanoparticles affect the molecular dynamic behaviors of polymer chains, as well as stiffness and damping properties of polymethyl methacrylate (PMMA) nanocomposites. Our results show that all nanoparticle-PMMA systems enhance Young's and shear moduli, with porous nanoparticles providing the greatest improvements. Stronger interfacial interactions further amplify these effects. A quasi-linear correlation is observed between shear modulus and Debye-Waller factor-based molecular stiffness, with porous nanoparticles exhibiting higher shear moduli due to their unique structural confinement effect. Local molecular stiffness analysis reveals pronounced dynamic heterogeneity, leading to heterogeneous strain distributions under shear deformation. Small amplitude oscillatory tests demonstrate simultaneous enhancements in stiffness and damping, overcoming the conventional tradeoff. These findings highlight the potential of tailoring nanoparticle surface configurations for designing polymer nanocomposites with superior mechanical performance.

Indexed as

Nanoscale materialsPolymers

Identifiers

PMID41263011
PMCPMC12626425

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.