Skip to main content
zenodoopen

Dataset for Foundation Model for Composite Materials and Microstructural Analysis

<p>This repository contains datasets generated for the publication <strong>"Foundation Model for Composite Materials and Microstructural Analysis".&nbsp;</strong></p> <p>The datasets are provided to facilitate replication of results, further research, and development in the field of composite materials and machine learning.</p> <h1>Contents:</h1> <ol> <li><strong>downstream_circular_inclusion.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for circular inclusion composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>downstream_short_fiber.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for short-fiber composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>inclusion_train_100k.zip</strong> <ul> <li>Description: This dataset contains 100,000 microstructure images of short-fiber composites used for self-supervised pre-training of the Masked Material Autoencoder (MMAE).</li> <li> <p>Structure:</p> <ul> <li> <p>mesh0dir/, mesh1dir/, ... mesh99999dir/: : Folders containing microstructure images used for pre-training.</p> </li> <li>descriptors.csv: A CSV file with descriptors related to the microstructures.</li> </ul> </li> </ul> </li> </ol>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0