Evidence map›Paper›PMID 40857302›Full record

ArticleChemSusChem2025

Finding Catalyst Design Principles for Oxygen Evolution using High-Throughput Optimizations and Electrochemical Symmetry.

Nerea Azcona-Aliende, Paramaconi Rodriguez, Federico Calle-Vallejo

Abstract read
In one paragraph

Article in ChemSusChem, 2025. 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

3 authors.

Nerea Azcona-AliendeCenter of Cooperative Research on Alternative Energies (CICenergiGUNE), Basque Research and Technology Alliance, Alava Technology Park, 01510, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-8808-9139
Paramaconi RodriguezCenter of Cooperative Research on Alternative Energies (CICenergiGUNE), Basque Research and Technology Alliance, Alava Technology Park, 01510, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-1517-0964
Federico Calle-VallejoNano-Bio Spectroscopy Group and European Theoretical Spectroscopy Facility (ETSF), Department of Advanced Materials and Polymers: Physics, Chemistry and Technology, University of the Basque Country UPV/EHU, Avenida Tolosa 72, 20018, San Sebastián, Spain.ORCID https://orcid.org/0000-0001-5147-8635

Funding

Eusko Jaurlaritza IT1453-22Lanbide 162022009879Ministerio de Ciencia e Innovación PID2021-127957NB-I00Ministerio de Ciencia e Innovación PID2023-153113OB-I00Ministerio de Ciencia e Innovación TED2021-132550B-C21
6 · The paper itself

Abstract

The global-scale use of water electrolyzers for sustainable hydrogen production is currently limited by the lack of efficient, abundant, and stable catalysts for the oxygen evolution reaction (OER). Unfortunately, OER models based on adsorption energies of the intermediates and their scaling relations have led to the customary but unsafe use of heuristic rules as design principles for catalyst design. Conversely, guidelines derived from the concept of electrochemical symmetry have yet to be exploited despite their simplicity and quantitative nature. Here, a high-throughput analysis on a sizable dataset is performed using a variety of scaling-free, scaling-based optimizations, and combinations thereof, while keeping track of the material's degree of electrochemical symmetry. This analysis provides an important conclusion: a visible improvement in the OER activity is statistically linked to an increase in the number of electrochemical steps larger than 1.23 eV. This is not a mere rule of thumb but a quantitative criterion to safely guide the design and enhancement of OER catalyst materials.

Indexed as

catalyst optimizationelectrochemical step symmetry indexoxygen evolution reactionscaling relationsvolcano plots

Identifiers

PMID40857302
PMCPMC12487758

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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.