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Record W4252440540 · doi:10.26434/chemrxiv.13356614

Local Structural Changes in Polyamorphous (Ni,Fe)Ox Electrocatalysts Suggest a Dual-Site Oxygen Evolution Reaction Mechanism

2020· preprint· en· W4252440540 on OpenAlexafffund
Martin Schoen, Nicholas M. Randell, Oliver Calderon, Santiago Jimenez-Villegas, Katelynn Daly, Roman Chernikov, Simon Trudel

Bibliographic record

VenueChemRxiv · 2020
Typepreprint
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsCanadian Light Source (Canada)University of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada First Research Excellence FundUniversity of SaskatchewanCanadian Light SourceUniversity of CalgaryAlexander von Humboldt-Stiftung
KeywordsOxygen evolutionCatalysisTafel equationAmorphous solidAnnealing (glass)Transition metalChemistryNickelActivation energyMaterials scienceChemical engineeringPhysical chemistryCrystallographyElectrochemistryMetallurgyElectrode

Abstract

fetched live from OpenAlex

<div>Amorphous nickel-iron mixed metal oxides have been shown to be extremely efficient oxygen evolution reaction (OER) electrocatalysts with good stability in alkaline reaction</div><div>conditions. Thus, they offer an economical alternative to expensive conventional platinum or iridium-based OER catalysts and could provide a crucial step towards a hydrogen-based energy economy. These favorable properties are presumably due to a synergistic effect between Fe and Ni. However, these synergistic effects strongly depend on the local structure of the catalyst and their origin – and its relation to the local structure – are still not fully understood. In this work we present a study of the thermal annealing induced structural evolution of amorphous (Ni,Fe)Ox thin films, and correlate this evolution to their OER catalytic capabilities. Samples are x-ray amorphous at low annealing temperatures. However, analysis of the x-ray absorption spectra reveals local structural transitions in all samples – before the onset of cystalization – providing evidence of polyamorphism. Transitions of the local Ni and Fe environments occur at distinctly different temperatures and coincide with a stepwise increase in the catalytic activation potential (OER thermodynamics) and the</div><div>Tafel slope (OER kinetics), respectively. We previously have attributed the increase in onset potential to a change in active site in NiOx at the phase transition temperature; considering that the mixed metal oxides’ onset potentials exhibit the same behavior with annealing temperature (Tanneal), we conclude that the potential-determining OER reaction step must occur at a Ni site. Similarly, the reaction kinetics change at the same annealing temperature as the local Fe environment; we thus infer that the rate-determining step occurs at a Fe site. To reconciliate these observations we put forward a dual-site OER reaction mechanism</div><div>with potential- and rate-determining steps happening at Ni and Fe sites, respectively. This synergistic effect is ultimately responsible for the superior OER performance of many (Ni,Fe)Ox catalysts. At higher annealing temperatures, the synergistic effect is suppressed, possibly by phase separation into NiOx and FeOx phases, as suggested by our XRD results.</div>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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 teacher head, not a consensus.

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

Citations6
Published2020
Admission routes2
Has abstractyes

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