Electrochemical CO₂ reduction predictor

Electrochemical CO₂ reduction predictor provides a unified environment for data-centric exploration and machine-learning-based design of CO₂ electroreduction catalysts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-24
DOI
https://doi.org/10.5281/zenodo.17434470
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.00
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article

Electrochemical CO₂ reduction predictor

Zenodo (CERN European Organization for Nuclear Research)
CO2 Reduction Techniques and Catalysts
article

Electrochemical CO₂ reduction predictor

article en

Abstract

Electrochemical CO₂ reduction predictor provides a unified environment for data-centric exploration and machine-learning-based design of CO₂ electroreduction catalysts.

Zenodo (CERN European Organization for Nuclear Research)
University of Tehran (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
CO2 Reduction Techniques and Catalysts
DOIOpen Access PDFOpenAlex
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Electrochemical CO₂ reduction predictor · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS