Evidence map›Paper›PMID 39586114›Full record

ReviewChemical reviews2024

Electric Fields in Polymeric Systems.

Mark A Rothermund, Stephen J Koehler, Valerie Vaissier Welborn

Abstract readReview
In one paragraph

Review in Chemical reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

3 authors.

Mark A RothermundDepartment of Chemistry, Virginia Tech, Blacksburg, Virginia 24060, United States.ORCID 0000-0002-4846-9874
Stephen J KoehlerDepartment of Chemistry, Virginia Tech, Blacksburg, Virginia 24060, United States.
Valerie Vaissier WelbornDepartment of Chemistry, Virginia Tech, Blacksburg, Virginia 24060, United States.ORCID 0000-0003-0834-4441

Funding

Elucidating the dynamical and structural molecular factors at the origin of non-enzymatic protein-protein and protein-DNA cross-linksR35GM150409 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Valerie Vaissier Welborn · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150409
6 · The paper itself

Abstract

Polymer-based electronic devices are limited by slow transport and recombination of newly separated charges. Built-in electric fields, which arise from compositional gradients, are known to improve charge separation, directional charge transport, and to reduce recombination. Yet, the optimization of these fields through the rational design of polymeric materials is not prevalent. Indeed, polymers are disordered and generate nonuniform electric fields that are hard to measure, and therefore, hard to optimize. Here, we review work focusing on the intentional optimization of electric fields in polymeric systems with applications to catalysis, energy conversion, and storage. This includes chemical tuning of constituent monomers, linkers, morphology, etc. that result in stronger molecular dipoles, polarizability or crystallinity. We also review techniques to characterize electric fields in polymers and emerging processing strategies based on electric fields. These studies demonstrate the benefits of optimizing electric fields in polymers. However, rational design is often restricted to the molecular scale, deriving new pendants on, or linkers between, monomers. This does not always translate in strong electric fields at the polymer level, because they strongly depend on the monomer orientation. A better control of the morphology and monomer-to-polymer scaling relationship is therefore crucial to enhance electric fields in polymeric materials.

Identifiers

PMID39586114
PMCPMC11638910

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.