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Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data

<p>Files uploaded here are related to the paper titled "Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data". Here we investigate how generative adversarial networks can be used to match simulated- and experimental INS data.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 8
Harmonization: 4
Access: 20
Reuse readiness: 8
Engagement: 0

Topics

Machine Learning, Inelastic Neutron Scattering, Generative Adversarial Networks, Experimental Data, Spectroscopy, Materials Chemistry, Artificial Intelligence, Materials Discovery, Materials Informatics