Evidence map›Paper›PMID 41829295›Full record

ReviewPolymers2026

Recent Developments in the Mechanical Behavior of Polymer-Based Composites.

Marcelo Antunes, David Arencón

Abstract readReview
In one paragraph

Review in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Marcelo AntunesPoly2 Group, Department of Materials Science and Engineering, ESEIAAT, Technical University of Catalonia (UPC BarcelonaTech), C/Colom 11, 08222 Terrassa, Spain.ORCID 0000-0001-5911-1969
David ArencónPoly2 Group, Department of Materials Science and Engineering, ESEIAAT, Technical University of Catalonia (UPC BarcelonaTech), C/Colom 11, 08222 Terrassa, Spain.ORCID 0000-0002-9517-0891

Funding

Ministerio de Ciencia, Innovación y Universidades PID2021-128048NB-I00Ministerio de Ciencia, Innovación y Universidades PID2024-162714NB-I00
6 · The paper itself

Abstract

Polymer-based systems have been shown to have a particular combination of characteristics that make them desirable in technological sectors, such as lightness, insulating properties, and easy molding during processing, as well as mechanical versatility, which is greatly due to their molecular microstructure. Nevertheless, they still present limitations in mechanical performance and use at moderate/high temperatures, considerably restricting their range of applications. Thus, great efforts have been directed towards developing strategies intended to enhance said characteristics and predict their complex mechanical behavior, with the main goal of adapting their properties to the end-use application. The present review considers the most recent developments, focusing on the research published in 2025 and early 2026, and future challenges in the mechanical behavior of polymer-based materials, being structured according to material considerations, more specifically the development of advanced (nano)composites based on high-performance matrices and functional nanoparticles, as well as bio-based polymer (nano)composites obtained from renewable sources and multifunctional smart and meta-materials for monitoring and long-term use; the development of new processing methods, focusing on advanced additive manufacturing; and the use of artificial intelligence and machine learning. All in all, the final objective is generating knowledge that will enable the preparation of components with tailor-made mechanical characteristics and functional properties, covering material design and processing.

Indexed as

advanced additive manufacturingartificial intelligencebio-based polymer compositesmachine learningmechanical behaviormultiscale reinforcementsnanocompositesnanohybridspolymer compositessmart materials

Identifiers

PMID41829295
PMCPMC12986580

What OpenQuestion holds

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LicenceCC BY
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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.