Supporting data: "Classifying soft self-assembled materials via unsupervised machine learning of defects"
- 1. Department of Applied Science and Technology, Politecnico di Torino, Torino, Italy
- 2. Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano-Viganello, Switzerland
- 3. Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano-Viganello, Switzerland;
Description
The root folder contains 5 folders:
- FIBERS
- MEMBRANES_and_MICELLES
- NANOPARTICLES
- COMPARISON
- paper_images
The folders 1. to 3. contain the data 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.
TRAJ contains the reduced trajectories used to compute the descriptors; SOAP contains the soap descriptors files used in the main manuscript; PCA contains the pca files used in the manuscript; CLUSTERING contains the clustering labels assignment computed in the manuscript.
Folder 4. contains the data of the comparison between different classes of materials (SOAP, PCA, and CLUSTERING sub-folders).
Folder 5. contains the images that are showed in the main paper and in the Supporting Information
Files
Files
(12.5 GB)
Name | Size | Download all |
---|---|---|
md5:4e18ebbcb862c0258f71f071349d8f56
|
12.5 GB | Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1038/s42004-022-00699-z (DOI)
Funding
- Molecular Control of Bioinspired Supramolecular Polymers with Fuel-Regulated Dynamic Behavior IZLIZ2_183336
- Swiss National Science Foundation
- MIMIC-KeY – A KEY TO THE RATIONAL DESIGN OF EXTRACELLULAR VESICLES-MIMICKING NANOPARTICLES 964386
- European Commission
- DYNAPOL – Modeling approaches toward bioinspired dynamic materials 818776
- European Commission