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Research data supporting: "Classifying soft self-assembled materials via unsupervised machine learning of defects"

<p>Research data supporting: &quot;Classifying soft self-assembled materials via unsupervised machine learning of defects&quot;.</p> <p>The root folder contains 5 folders:</p> <ol> <li>FIBERS</li> <li>MEMBRANES_and_MICELLES</li> <li>NANOPARTICLES</li> <li>COMPARISON</li> <li>paper_images</li> </ol> <p>The folders 1. to 3. contain the data&nbsp;for every soft-matters architecture used to produce the results discussed in the main paper. Each of these folders contain additional sub-fordels: TRAJ, SOAP, PCA, CLUSTERING, containing the files discussed in the main paper.</p> <p>Folder 4. contains the data of the comparison between different classes of materials (SOAP, PCA, and CLUSTERING sub-folders).</p> <p>Folder 5. contains the images that are showed in the main paper and in the Supporting Information.</p>

ShareScore

36/100

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
4