Evidence map›Paper›PMID 36396649›Full record

ArticleNature communications2022

Molecular magneto-ionic proton sensor in solid-state proton battery.

Yong Hu, Zipeng Guo, Yingjie Chen, Chi Zhou, Yuguang C Li, Shenqiang Ren

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2022. 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
0.7field-weighted citation impact, top 31% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 2 institutions in 1 country.

Yong HuDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.ORCID 0000-0003-3360-7856
Zipeng GuoDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.ORCID 0000-0003-2965-9995
Yingjie ChenDepartment of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Chi ZhouDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.ORCID 0000-0001-7230-3754
Yuguang C LiDepartment of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA. yuguangl@buffalo.edu.ORCID 0000-0002-9559-7051
Shenqiang RenDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA. shenren@buffalo.edu.ORCID 0000-0002-9987-3316
University at Buffalo, State University of New York · USBuffalo State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High proton conductivity originated from its small size and the diffusion-free Grotthuss mechanism offers immense promise for proton-based magneto-ionic control of magnetic materials. Despite such promise, the realization of proton magneto-ionics is hampered by the lack of proton-responsive magnets as well as the solid-state sensing method. Here, we report the proton-based magneto-ionics in molecule-based magnet which serves as both solid-state proton battery electrode and radiofrequency sensing medium. The three-dimensional hydrogen-bonding network in such a molecule-based magnet yields a high proton conductivity of 1.6 × 10

Indexed as

MagneticsProtonsElectric ConductivityHydrogen BondingHydrogen-Ion ConcentrationProtons

Identifiers

PMID36396649
PMCPMC9672057
OpenAlexW4309235747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.