Published July 12, 2022 | Version v1
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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:

  1.     FIBERS
  2.     MEMBRANES_and_MICELLES
  3.     NANOPARTICLES
  4.     COMPARISON
  5.     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

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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