Evidence map›Paper›PMID 39437200›Full record

ArticleMacromolecular rapid communications2024

Quantum Simulations of Radiation Damage in a Molecular Polyethylene Analog.

Nathaniel Troup, Matthew P Kroonblawd, Davide Donadio, Nir Goldman

Abstract read
In one paragraph

Article in Macromolecular rapid communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Nathaniel TroupDepartment of Chemical Engineering, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
Matthew P KroonblawdPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Davide DonadioDepartment of Chemistry, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.ORCID https://orcid.org/0000-0002-2150-4182
Nir GoldmanDepartment of Chemical Engineering, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.ORCID https://orcid.org/0000-0003-3052-2128

Funding

U.S. Department of Energy DE-AC52-07NA27344
6 · The paper itself

Abstract

An atomic-level understanding of radiation-induced damage in simple polymers like polyethylene is essential for determining how these chemical changes can alter the physical and mechanical properties of important technological materials such as plastics. Ensembles of quantum simulations of radiation damage in a polyethylene analog are performed using the Density Functional Tight Binding method to help bind its radiolysis and subsequent degradation as a function of radiation dose. Chemical degradation products are categorized with a graph theory approach, and occurrence rates of unsaturated carbon bond formation, crosslinking, cycle formation, chain scission reactions, and out-gassing products are computed. Statistical correlations between product pairs show significant correlations between chain scission reactions, unsaturated carbon bond formation, and out-gassing products, though these correlations decrease with increasing atom recoil energy. The results present relatively simple chemical descriptors as possible indications of network rearrangements in the middle range of excitation energies. Ultimately, the work provides a computational framework for determining the coupling between nonequilibrium chemistry in polymers and potential changes to macro-scale properties that can aid in the interpretation of future radiation damage experiments on plastic materials.

Indexed as

PolyethyleneQuantum TheoryPolyethylenemolecular dynamicspolymer degradationradiation damage

Identifiers

PMID39437200
PMCPMC11661556

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.