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Record W4414168040 · doi:10.1021/jacs.5c12947

Alkali Metal Cations Induce Pseudo-outer-sphere Oxygen Reduction Reaction Mechanism in Electrolyte-Catalyst Synergy

2025· article· en· W4414168040 on OpenAlexaff
Yumiao Tian, Pengfei Hou, Yuanyuan Zhou, Quan Li

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsFuture Earth
FundersNational Natural Science Foundation of China
KeywordsCatalysisElectrochemistryElectron transferMoleculeReaction mechanismCoupling (piping)Alkali metalElectrocatalystWork (physics)Metal

Abstract

fetched live from OpenAlex

Alkali metal cations (AMCs) are known to play pivotal roles in modulating electrocatalytic systems, significantly affecting the oxygen reduction reaction (ORR). While their macroscopic effects are well recognized, the molecular-level interactions of AMCs at the electrochemical interface remain poorly understood. Here, using constant-potential ab initio molecular dynamics simulations, we uncover that AMCs (Li +, Na +, and K + ) act as molecular switches that trigger a pseudo-outer-sphere ORR mechanism. In this mechanism, surface-adsorbed water molecules serve as dynamic bridges that simultaneously mediate interfacial electron transfer and proton transport. As a result, the reactive zone extends beyond the catalyst surface, overcoming the spatial constraints of traditional inner-sphere pathways. Crucially, H 2 O 2 is generated directly within the outer Helmholtz plane via reduction of AMC-O 2 complexes, effectively bypassing the catalyst surface and avoiding over-reduction. This results in significantly enhanced selectivity and production efficiency. Our results demonstrate that AMCs activate interfacial coupling to unlock alternative reaction pathways, while concurrently elucidating the critical yet often overlooked role of solute molecules in governing electrocatalytic behavior. This work establishes a framework for the understanding of electrolyte-catalyst coupling and provides principles for designing next-generation electrochemical systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.232
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Chemical SocietySame topicElectrocatalysts for Energy ConversionFrench-language works237,207