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2025
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| Online Access: | https://doi.org/10.5281/zenodo.16421798 |
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| _version_ | 1866902057047293952 |
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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 |