Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17218766 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p>This dataset contains featurized materials data derived from the <a target="_new" rel="noopener">Materials Project</a> database. The data has been processed and transformed into machine learning–ready features for the task of predicting formation energy.</p> <p>The dataset was used in training and evaluating deep learning models with Bayesian optimization, k-fold cross-validation, and early stopping. It provides a reproducible foundation for further research in computational materials science and machine learning applications in predicting materials properties.</p> <p><em>Original raw data was obtained from the Materials Project and further featurized by the author.</em></p>