Evidence map›Paper›PMID 42598240›Full record

ReviewMacromolecules2026

Hierarchical Dynamics in Polymer NanocompositesInsights from Neutron and X‑ray Scattering.

Tadanori Koga, Michihiro Nagao, Lutz Wiegart, Jan-Michael Y Carrillo, Maya Endoh

Abstract readReview
In one paragraph

Review in Macromolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tadanori KogaDepartment of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794-2275, United States.ORCID https://orcid.org/0000-0003-1316-6133
Michihiro NagaoNIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-6102, United States.ORCID https://orcid.org/0000-0003-3617-251X
Lutz WiegartNational Synchrotron Light Source-II, Brookhaven National Laboratory, Upton, New York 11973, United States.ORCID https://orcid.org/0000-0003-4417-8479
Jan-Michael Y CarrilloCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.ORCID https://orcid.org/0000-0001-8774-697X
Maya EndohDepartment of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794-2275, United States.ORCID https://orcid.org/0000-0001-6473-5047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incorporation of nanoparticles (NPs) into polymers is one of the most effective strategies for reinforcing polymeric materials. The impact of NP reinforcement is exemplified by automobile tires, where it enhances a broad range of performance metrics, including fracture toughness, wear resistance, wet traction, rolling resistance, and fatigue durability. Reinforcement arises from the coupled evolution of hierarchical structures and hierarchical dynamics of polymers and NPs across multiple length and time scales. A comprehensive understanding of reinforcement mechanisms remains elusive. The advancement of PNCs depends on fundamental research investigating the hierarchical structures and dynamics of polymers and NPs by employing integrated measurements, analysis, and predictions. In this Perspective, the emphasis is placed on elucidating the hierarchical dynamics of PNCs at the nano-to-mesoscale through the integration of neutron spin echo (NSE) and X-ray photon correlation spectroscopy (XPCS). We highlight recent advances in understanding the hierarchical dynamics of bound polymer, nanoparticle networks, and cross-linked polymer networks. NSE combined with isotope labeling provides unique access to the segmental and chain dynamicsincluding entanglement dynamicsof labeled polymer chains across length scales from subnanometers to tens of nanometers and time scales from picoseconds to several hundred nanoseconds. In contrast, XPCS provides unique access to the collective dynamics of hierarchical structures of NPs in a polymer matrix over relevant time scales (submilliseconds to 1000s of seconds) and length scales (nanometers to hundreds of nanometers). Furthermore, recent advancements in

Identifiers

PMID42598240
PMCPMC13472182

What OpenQuestion holds

Textmetadata
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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.