GMPavan Lab
Published March 15, 2023 | Version v1
Dataset Open

Research data supporting: "Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments"

Authors/Creators

  • 1. Politecnico di Torino
  • 2. SUPSI

Description

This repository contains the set of data shown in the paper "Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments", published on The Journal of Chemical Physics (DOI:10.1063/5.0139010)

Files

DATA-zenodo.zip

Files (464.9 MB)

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md5:f5fb6e3a7c8ce9fb8244759351eda2ae
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Additional details

Related works

Is cited by
Journal article: 10.1063/5.0139010 (DOI)

Funding

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