Machine Learning-Driven Insights for the Design of ABO₃ Perovskite Catalysts in Dry Methane Reforming

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Auteur principal: Maciel dos Santos, Lamara
Format: Recurso digital
Publié: Zenodo 2025
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author Maciel dos Santos, Lamara
author_facet Maciel dos Santos, Lamara
contents <p>This record contains the dataset and Python scripts developed to support the study entitled:</p> <p>"Machine Learning-Driven Insights for the Design of ABO₃ Perovskite Catalysts in Dry Methane Reforming"  <br>(Santos, L. et al., 2025 – manuscript in preparation)</p> <p>The repository includes:<br>- A machine learning model training pipeline (multiple algorithms)<br>- SHAP and PDP-based interpretability analysis<br>- A curated dataset (2015–2025) extracted from peer-reviewed literature</p> <p>The full content is restricted during peer review and will be publicly available upon publication of the manuscript.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_16421798
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Machine Learning-Driven Insights for the Design of ABO₃ Perovskite Catalysts in Dry Methane Reforming
Maciel dos Santos, Lamara
<p>This record contains the dataset and Python scripts developed to support the study entitled:</p> <p>"Machine Learning-Driven Insights for the Design of ABO₃ Perovskite Catalysts in Dry Methane Reforming"  <br>(Santos, L. et al., 2025 – manuscript in preparation)</p> <p>The repository includes:<br>- A machine learning model training pipeline (multiple algorithms)<br>- SHAP and PDP-based interpretability analysis<br>- A curated dataset (2015–2025) extracted from peer-reviewed literature</p> <p>The full content is restricted during peer review and will be publicly available upon publication of the manuscript.</p>
title Machine Learning-Driven Insights for the Design of ABO₃ Perovskite Catalysts in Dry Methane Reforming
url https://doi.org/10.5281/zenodo.16421798