Published June 19, 2023 | Version v1
Journal article Open

Research data supporting: "Machine Learning of Atomic Dynamics and Statistical Surface Identities in Gold Nanoparticles"

  • 1. Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
  • 2. Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Polo Universitario Lugano, Campus Est, Via la Santa 1, 6962 Lugano-Viganello, Switzerland
  • 3. Department of Physics, Università degli Studi di Genova, Via Dodecaneso 33, 16146 Genova, Italy

Description

Data and analysis setup for "Machine Learning of Atomic Dynamics and Statistical Surface Identities in Gold Nanoparticles".

The files in this repository are tailored to reproduce precisely the results obtained in our simulations (starting from the data that are present in the zenodo link), so if you want to apply the analysis to your data, you will need to modify the scripts.

Files

dynNP-Publication.zip

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Additional details

Related works

Is supplement to
Journal article: 10.1038/s42004-023-00936-z (DOI)

Funding

Molecular Control of Bioinspired Supramolecular Polymers with Fuel-Regulated Dynamic Behavior IZLIZ2_183336
Swiss National Science Foundation
DYNAPOL – Modeling approaches toward bioinspired dynamic materials 818776
European Commission