Predicting and designing properties of twelve alloy families using artificial neural networks and generative adversarial networks
Crossref DOI link: https://doi.org/10.1007/s12034-025-03511-5
Published Online: 2025-12-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Borgard, O
Chomsaeng, N
Wongtimnoi, K
Mezeix, L https://orcid.org/0000-0002-6162-8411
Text and Data Mining valid from 2025-12-20
Version of Record valid from 2025-12-20
Article History
Received: 18 March 2025
Accepted: 28 July 2025
First Online: 20 December 2025