Evidence mapPaperPMID 41716241Full record

ArticleChemical science2026

Enabling nondestructive observation of electrolyte composition in batteries with ultralow-field nuclear magnetic resonance.

Anne M Fabricant, Román Picazo-Frutos, Florin Teleanu, Gregory J Rees, Raphael Kircher, Mengjiang Lin, William Evans, Paul-Martin Luc, Robert A House, Peter G Bruce and 8 more

Abstract read
In one paragraph

Article in Chemical science, 2026. 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
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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Anne M FabricantDepartment of Biosignals, Physikalisch-Technische Bundesanstalt (PTB) Berlin Germany.ORCID https://orcid.org/0000-0002-2250-2875
Román Picazo-FrutosInstitute of Physics, Johannes Gutenberg University of Mainz Mainz Germany budker@uni-mainz.de.ORCID https://orcid.org/0000-0002-6190-1975
Florin TeleanuExtreme Light Infrastructure - Nuclear Physics, "Horia Hulubei" National Institute for Physics and Nuclear Engineering Bucharest Romania.ORCID https://orcid.org/0000-0003-3845-0974
Gregory J ReesDepartment of Materials, University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-7514-1516
Raphael KircherInstitute of Physics, Johannes Gutenberg University of Mainz Mainz Germany budker@uni-mainz.de.ORCID https://orcid.org/0000-0002-7980-7995
Mengjiang LinDepartment of Materials, University of Oxford Oxford UK.
William EvansDepartment of Biosignals, Physikalisch-Technische Bundesanstalt (PTB) Berlin Germany.ORCID https://orcid.org/0000-0001-8323-0722
Paul-Martin LucDepartment of Biosignals, Physikalisch-Technische Bundesanstalt (PTB) Berlin Germany.ORCID https://orcid.org/0009-0001-4568-6013
Robert A HouseDepartment of Materials, University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-7415-477X
Peter G BruceDepartment of Materials, University of Oxford Oxford UK.ORCID https://orcid.org/0000-0001-6748-3084
Peter KrügerDepartment of Biosignals, Physikalisch-Technische Bundesanstalt (PTB) Berlin Germany.ORCID https://orcid.org/0000-0001-9908-6454
John W BlanchardQuantum Technology Center and Institute for Research in Electronics & Applied Physics, University of Maryland, College Park Maryland USA.ORCID https://orcid.org/0000-0002-1621-6637
James EillsInstitute of Biological Information Processing (IBI-7), Forschungszentrum Jülich Jülich Germany.ORCID https://orcid.org/0000-0001-8468-6860
Kirill F SheberstovChimie Physique et Chimie du Vivant (CPCV, UMR 8228), Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS Paris France.ORCID https://orcid.org/0000-0002-3520-6258
Rainer KörberDepartment of Biosignals, Physikalisch-Technische Bundesanstalt (PTB) Berlin Germany.ORCID https://orcid.org/0000-0001-7052-5134
Dmitry BudkerInstitute of Physics, Johannes Gutenberg University of Mainz Mainz Germany budker@uni-mainz.de.ORCID https://orcid.org/0000-0002-7356-4814
Danila A BarskiyInstitute of Physics, Johannes Gutenberg University of Mainz Mainz Germany budker@uni-mainz.de.ORCID https://orcid.org/0000-0002-2819-7584
Alexej JerschowDepartment of Chemistry, New York University New York NY USA alexej.jerschow@nyu.edu.ORCID https://orcid.org/0000-0003-1521-9219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rechargeable batteries represent a key transformative technology for electric vehicles, portable electronics, and renewable energy. Yet, there are few nondestructive diagnostic techniques compatible with realistic commercial cell enclosures. Many battery failures result from the loss or chemical degradation of the electrolyte. In this work, we present measurements through battery enclosures that allow quantification of electrolyte amount and composition. The study employs instrumentation and techniques developed in the context of zero-to-ultralow-field nuclear magnetic resonance (ZULF NMR), with quantum magnetometers as the detection elements (atomic optically pumped magnetometers, OPMs, and superconducting quantum interference devices, SQUIDs, used in this work). In contrast to conventional NMR methodology, which suffers from skin-depth limitations, the reduced resonance frequencies in ZULF NMR make battery housing and electrodes transparent to the electromagnetic fields involved. As demonstrated here through simulation and experiment, both the solvent and lithium-salt components of the electrolyte (lithium hexafluorophosphate, LiPF

Identifiers

PMID41716241
PMCPMC12915680

What Socratic holds

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LicenceCC BY
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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 Socratic graph.