Number of items: 4.
Journal Article
Lee, Wonjung and Zabaras , Nicholas
(2018)
Parallel probabilistic graphical model approach for nonparametric Bayesian inference.
Journal of Computational Physics, 372
.
pp. 546-563.
doi:10.1016/j.jcp.2018.06.057
ISSN 0021-9991.
Xing, W. W., Triantafyllidis, Vasileios, Shah, Akeel A., Nair, P. B. and Zabaras , Nicholas
(2016)
Manifold learning for the emulation of spatial fields from computational models.
Journal of Computational Physics, 326
.
666 - 690.
doi:10.1016/j.jcp.2016.07.040
ISSN 0021-9991.
Aldegunde, Manuel, Kermode, James R. and Zabaras , Nicholas
(2016)
Development of an exchangeβcorrelation functional with uncertainty quantification capabilities for density functional theory.
Journal of Computational Physics, 311
.
pp. 173-195.
doi:10.1016/j.jcp.2016.01.034
ISSN 0021-9991.
Kristensen, Jesper and Zabaras , Nicholas
(2014)
Bayesian uncertainty quantification in the evaluation of alloy properties with the cluster expansion method.
Computer Physics Communications, Volume 185
(Number 11).
pp. 2885-2892.
doi:10.1016/j.cpc.2014.07.013
ISSN 0010-4655.
This list was generated on Sat Apr 20 06:41:14 2024 BST.