Evidence map›Paper›PMID 35631956›Full record

ReviewPolymers2022

A Review on Modeling Cure Kinetics and Mechanisms of Photopolymerization.

Margit Lang, Stefan Hirner, Frank Wiesbrock, Peter Fuchs

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Review
  3. 3D-printed chiral luminous materials.Nature communications · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Advances in Carbon Fiber Reinforced Polymers.Materials (Basel, Switzerland) · 2026
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Margit LangPolymer Competence Center Leoben, 8700 Leoben, Austria.
Stefan HirnerInstitute for Chemistry and Technology of Materials, University of Technology Graz, NAWI Graz, 8010 Graz, Austria.
Frank WiesbrockInstitute for Chemistry and Technology of Materials, University of Technology Graz, NAWI Graz, 8010 Graz, Austria.
Peter FuchsPolymer Competence Center Leoben, 8700 Leoben, Austria.ORCID 0000-0001-5308-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photopolymerizations, in which the initiation of a chemical-physical reaction occurs by the exposure of photosensitive monomers to a high-intensity light source, have become a well-accepted technology for manufacturing polymers. Providing significant advantages over thermal-initiated polymerizations, including fast and controllable reaction rates, as well as spatial and temporal control over the formation of material, this technology has found a large variety of industrial applications. The reaction mechanisms and kinetics are quite complex as the system moves quickly from a liquid monomer mixture to a solid polymer. Therefore, the study of curing kinetics is of utmost importance for industrial applications, providing both the understanding of the process development and the improvement of the quality of parts manufactured via photopolymerization. Consequently, this review aims at presenting the materials and curing chemistry of such ultrafast crosslinking polymerization reactions as well as the research efforts on theoretical models to reproduce cure kinetics and mechanisms for free-radical and cationic photopolymerizations including diffusion-controlled phenomena and oxygen inhibition reactions in free-radical systems.

Indexed as

cationic photopolymerizationfree-radical photopolymerizationmechanistic modelphenomenological modelreaction kinetics

Identifiers

PMID35631956
PMCPMC9145830

What OpenQuestion holds

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Registered trials

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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.