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Group by: Official Date | Item Type | Funder | No Grouping
Jump to: 2018 | 2016 | 2014
Number of items: 4.

2018

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

2016

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

Aldegunde, Manuel, Kermode, James R. and Zabaras , Nicholas (2016) Development of an exchange–correlation 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

2014

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

This list was generated on Tue Dec 10 04:57:19 2019 GMT.
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