Evidence map›Paper›PMID 40835795›Full record

ArticleNature communications2025

Exploring electrochemical dynamics in graphite||LiNi

Corentin Renais, Benjamin Mercier-Guyon, David Wasylowski, Morian Sonnet, Phillip Dechent, Maxime Servajon, Nils Blanc, Sandrine Lyonnard, Dirk Uwe Sauer, Claire Villevieille

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Corentin RenaisUniversité Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, France.
Benjamin Mercier-GuyonUniversité Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, France.
David WasylowskiChair of Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0001-8629-7439
Morian SonnetChair of Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-6168-2880
Phillip DechentChair of Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0003-3041-1436
Maxime ServajonUniversité Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, France.
Nils BlancUniversité Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, Grenoble, France.
Sandrine LyonnardUniversité Grenoble Alpes, CEA, CNRS, IRIG, SyMMES, Grenoble, France.ORCID http://orcid.org/0000-0003-2580-8439
Dirk Uwe SauerChair of Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-5622-3591
Claire VillevieilleUniversité Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, France. Claire.Villevieille@grenoble-inp.fr.ORCID http://orcid.org/0000-0001-8782-4800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound techniques are increasingly used to probe the internal dynamics of batteries to obtain cost-effective, real-time insights into electrochemical processes. However, prior studies have established only superficial correlations between ultrasound and electrochemical parameters, thus limiting the understanding of signal variations during cycling. In this study, the interpretability of these variations is improved by combining operando ultrasound measurements with synchrotron X-ray diffraction and nanodilatometry measurements during electrochemical cycling and relaxation. We show that at battery states of charge from 10% to 80%, ultrasound signals reflect primarily the change in the graphite electrode, particularly its elastic modulus during lithiation. At battery states of charge between 80% and 100%, the H2 → H3 phase transition in LiNi

Identifiers

PMID40835795
PMCPMC12368059

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.