Evidence map›Paper›PMID 41607214›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Live Imaging of Silver Nanostructures Electrochemically Dissolving at Open-Circuit Potential.

Andreas Körner, A Lucía Morales, Birk Fritsch, Lena Fiedler, Justin T Mulvey, Christian Göllner, Damien Alloyeau, Joseph P Patterson, Paolo Malgaretti, Karl J J Mayrhofer and 2 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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. Review
  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

12 authors.

Andreas KörnerHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0001-8679-8743
A Lucía MoralesHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0001-9116-7559
Birk FritschHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0001-7935-2188
Lena FiedlerHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0002-2559-1850
Justin T MulveyDepartment of Material Science and Engineering, University of California-Irvine, Irvine, California, USA.ORCID https://orcid.org/0000-0002-0296-8598
Christian GöllnerHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.
Damien AlloyeauLaboratoire Matériaux et Phénomènes Quantiques, Université Paris Cité-CNRS, Paris, France.ORCID https://orcid.org/0000-0002-6528-5698
Joseph P PattersonDepartment of Material Science and Engineering, University of California-Irvine, Irvine, California, USA.ORCID https://orcid.org/0000-0002-1975-1854
Paolo MalgarettiHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0002-1201-451X
Karl J J MayrhoferHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0002-4248-0431
Serhiy CherevkoHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0002-7188-4857
Andreas HutzlerHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Erlangen, Germany.ORCID https://orcid.org/0000-0001-5484-707X

Funding

German Federal Ministry of ResearchNational Science Foundation Materials Research Science and Engineering Center programUC Irvine Center for Complex and Active Materials DMR-2011967
6 · The paper itself

Abstract

The stability of electrode and electrocatalyst materials is of paramount importance for sustainable and persistent technological solutions for energy conversion systems. In fact, dissolution of electrodes at open-circuit potential occurs both during electrochemical testing operando and using a scanning flow cell-inductively coupled plasma-mass spectrometry (SFC-ICP-MS) setup. Although these phenomena occur frequently, their mechanisms remain concealed. This is because structural changes occur at the nanoscale, which are difficult to observe directly. Herein, we introduce a workflow comprising automated image analysis, beam effect assessment, and correlative electrochemical testing to obtain quantitative and representative data from electrochemical liquid phase electron microscopy (EC-LP-EM). In a demonstrator experiment, we reveal that the dissolution of silver electrodeposited on a platinum electrode substrate is driven by system equilibration involving the oxygen reduction reaction and bimetallic corrosion. This combination of reactions occurs at the electrode-electrolyte interface under zero net current conditions as an example of structural changes on the nanoscale during operation. Our experimental findings, furthermore, serve as a blueprint for correlating nanoscale live imaging information with macroscopic electrochemical responses to investigate degradation mechanisms of electrocatalysts and materials beyond. These insights aid in designing efficient electrochemical conversion systems, urgently needed in renewable energy technology.

Indexed as

bimetallic corrosioncorrelative electrochemistrydegradation mechanismsliquid phase electron microscopynanocorrosionopen‐circuit potentialradiolysis assessment

Identifiers

PMID41607214
PMCPMC13003310

What OpenQuestion holds

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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.