Evidence map›Paper›PMID 28875167›Full record

ArticleScience advances2017

Tunable electroresistance and electro-optic effects of transparent molecular ferroelectrics.

Zhuolei Zhang, Peng-Fei Li, Yuan-Yuan Tang, Andrew J Wilson, Katherine Willets, Manfred Wuttig, Ren-Gen Xiong, Shenqiang Ren

Abstract read
In one paragraph

Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Magnet-in-ferroelectric crystals exhibiting photomultiferroicity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Control of electronic polarizationChemical science · 2023
    Review
  8. Article
  9. Article
  10. Highest-Chemical science · 2022
    Article
  11. Article
  12. Article
  13. A 3D-printed molecular ferroelectric metamaterial.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Light-induced dilation in nanosheets of charge-transfer complexes.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

8 authors.

Zhuolei ZhangDepartment of Mechanical Engineering and Temple Materials Institute, Temple University, Philadelphia, PA 19122, USA.
Peng-Fei LiOrdered Matter Science Research Center, Southeast University, Nanjing 211189, P. R. China.
Yuan-Yuan TangOrdered Matter Science Research Center, Southeast University, Nanjing 211189, P. R. China.
Andrew J WilsonDepartment of Chemistry, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0003-3427-810X
Katherine WilletsDepartment of Chemistry, Temple University, Philadelphia, PA 19122, USA.
Manfred WuttigDepartment of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA.
Ren-Gen XiongOrdered Matter Science Research Center, Southeast University, Nanjing 211189, P. R. China.ORCID 0000-0003-2364-0193
Shenqiang RenDepartment of Mechanical Engineering and Temple Materials Institute, Temple University, Philadelphia, PA 19122, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in molecular ferroelectrics (MOFEs) has been overshadowed by the lack of high-quality thin films for device integration. We report a water-based air-processable technique to prepare large-area MOFE thin films, controlled by supersaturation growth at the liquid-air interface under a temperature gradient and external water partial pressure. We used this technique to fabricate ImClO

Identifiers

PMID28875167
PMCPMC5576882

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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.