Evidence map›Paper›PMID 38550699›Full record

ArticleChemical science2024

Understanding ion-transfer reactions in silver electrodissolution and electrodeposition from first-principles calculations and experiments.

Richard Kang, Yang Zhao, Diptarka Hait, Joseph A Gauthier, Paul A Kempler, Kira A Thurman, Shannon W Boettcher, Martin Head-Gordon

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  5. Atomistic Insights into the Electrochemical Oxygen Evolution Activity of Hollandite IrOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

8 authors.

Richard KangKenneth S. Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California Berkeley California 94720 USA mhg@cchem.berkeley.edu richard.kang@berkeley.edu.ORCID https://orcid.org/0000-0001-8901-1723
Yang ZhaoDepartment of Chemistry and Biochemistry, the Oregon Center for Electrochemistry, University of Oregon Eugene Oregon 97403 USA.
Diptarka HaitKenneth S. Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California Berkeley California 94720 USA mhg@cchem.berkeley.edu richard.kang@berkeley.edu.ORCID https://orcid.org/0000-0003-1570-920X
Joseph A GauthierDepartment of Chemical Engineering, Texas Tech University Lubbock TX 79409 USA.ORCID https://orcid.org/0000-0001-9542-0988
Paul A KemplerDepartment of Chemistry and Biochemistry, the Oregon Center for Electrochemistry, University of Oregon Eugene Oregon 97403 USA.ORCID https://orcid.org/0000-0003-3909-1790
Kira A ThurmanDepartment of Chemistry and Biochemistry, the Oregon Center for Electrochemistry, University of Oregon Eugene Oregon 97403 USA.
Shannon W BoettcherDepartment of Chemistry and Biochemistry, the Oregon Center for Electrochemistry, University of Oregon Eugene Oregon 97403 USA.ORCID https://orcid.org/0000-0001-8971-9123
Martin Head-GordonKenneth S. Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California Berkeley California 94720 USA mhg@cchem.berkeley.edu richard.kang@berkeley.edu.ORCID https://orcid.org/0000-0002-4309-6669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrified aqueous/metal interface is critical in controlling the performance of energy conversion and storage devices, but an atomistic understanding of even basic interfacial electrochemical reactions challenges both experiment and computation. We report a combined simulation and experimental study of (reversible) ion-transfer reactions involved in anodic Ag corrosion/deposition, a model system for interfacial electrochemical processes generating or consuming ions. With the explicit modeling of the electrode potential and a hybrid implicit-explicit solvation model, the density functional theory calculations produce free energy curves predicting thermodynamics, kinetics, partial charge profiles, and reaction trajectories. The calculated (equilibrium) free energy barriers (0.2 eV), and their asymmetries, agree with experimental activation energies (0.4 eV) and transfer coefficients, which were extracted from temperature-dependent voltage-step experiments on Au-supported, Ag-nanocluster substrates. The use of Ag nanoclusters eliminates the convolution of the kinetics of Ag

Identifiers

PMID38550699
PMCPMC10966968

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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.