Open AccessDEVELOPMENT OF MDO FORMULATIONS BASED ON DISCIPLINARY SURROGATE MODELS BY GAUSSIAN PROCESSES
Author(s) -
Sylvain Dubreuil,
Nathalie Bartoli,
Gaspard Berthelin,
Oriol Chandre Vila,
Christian Gogu,
Thierry Lefèbvre,
Joseph Morlier,
Michel Salaün
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - surrogate model , computer science , gaussian process , gaussian , machine learning , chemistry , computational chemistry
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