Evidence map›Paper›PMID 30886397›Full record

ArticleNature materials2019

Unified picture of anionic redox in Li/Na-ion batteries.

Mouna Ben Yahia, Jean Vergnet, Matthieu Saubanère, Marie-Liesse Doublet

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
32.7field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 493 citations in OpenAlex.

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  13. Clarifying the origin of molecular ONature materials · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Mouna Ben YahiaInstitut Charles Gerhardt, UMR 5253, CNRS-Université de Montpellier, Montpellier, France.
Jean VergnetRéseau Français sur le Stockage Électrochimique de l'Énergie (RS2E), Amiens, France.ORCID http://orcid.org/0000-0003-2131-5960
Matthieu SaubanèreInstitut Charles Gerhardt, UMR 5253, CNRS-Université de Montpellier, Montpellier, France. matthieu.saubanere@umontpellier.fr.ORCID http://orcid.org/0000-0002-9900-6175
Marie-Liesse DoubletInstitut Charles Gerhardt, UMR 5253, CNRS-Université de Montpellier, Montpellier, France. marie-liesse.doublet@umontpellier.fr.ORCID http://orcid.org/0000-0002-8495-2716
Centre National de la Recherche Scientifique · FRÉcole nationale des ponts et chaussées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anionic redox in Li-rich and Na-rich transition metal oxides (A-rich-TMOs) has emerged as a new paradigm to increase the energy density of rechargeable batteries. Ever since, numerous electrodes delivering extra anionic capacity beyond the theoretical cationic capacity have been reported. Unfortunately, most often the anionic capacity achieved in charge is partly irreversible in discharge. A unified picture of anionic redox in A-rich-TMOs is designed here to identify the electronic origin of this irreversibility and to propose new directions to improve the cycling performance of the electrodes. The electron localization function is introduced as a holistic tool to unambiguously locate the oxygen lone pairs in the structure and follow their participation in the redox activity of A-rich-TMOs. The charge-transfer gap of transition metal oxides is proposed as the pertinent observable to quantify the amount of extra capacity achievable in charge and its reversibility in discharge, irrespective of the material chemical composition. From this generalized approach, we conclude that the reversibility of the anionic capacity is limited to a critical number of O holes per oxygen, h

Identifiers

PMID30886397
OpenAlexW2920858974

What OpenQuestion holds

Textmetadata
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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.