• PCA and Kriging for the efficient exploration of consistency regions in Uncertainty Quantification
Auteur:Aversano, Gianmarco; Parra-Alvarez, Javier Camilo J. C. P. A.; Isaac, Benjamin; Smith, Sean S T; Coussement, Axel; Gicquel, Olivier; Parente, Alessandro
Informations sur la publication:Proceedings of the Combustion Institute
Statut de publication:Publié, 2018-08-22
Sujet CREF:Sciences de l'ingénieur
Bound-to-Bound Data Collaboration
Uncertainty Quantification
Surrogate models
Note générale:This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no 643134 and was also sponsored by the European Research Council, Starting Grant no 714605. This material is based upon work supported by the Department of Energy, National Nuclear Security Administration, under Award no DE-NA0002375.