2019
DOI: 10.1177/1045389x19853636
|View full text |Cite
|
Sign up to set email alerts
|

Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model

Abstract: We perform parameter subset selection and uncertainty analysis for phase-field models that are applied to the ferroelectric material lead titanate. A motivating objective is to determine which parameters are influential in the sense that their uncertainties directly affect the uncertainty in the model response, and fix noninfluential parameters at nominal values for subsequent uncertainty propagation. We employ Bayesian inference to quantify the uncertainties of gradient exchange parameters governing 180° and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 39 publications
0
2
0
Order By: Relevance
“…The parameter values used in the phase field analysis can be found elsewhere. 5 The use of variational methods leads to three governing equations: linear momentum, the Ginzburg-Landau equation for polarization evolution, and Gauss' law. These three equations can be written as…”
Section: Ferroelectric Phase Field Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The parameter values used in the phase field analysis can be found elsewhere. 5 The use of variational methods leads to three governing equations: linear momentum, the Ginzburg-Landau equation for polarization evolution, and Gauss' law. These three equations can be written as…”
Section: Ferroelectric Phase Field Modelmentioning
confidence: 99%
“…The first relation in (5) is linear momentum which is written in terms of the Cauchy stress, σ ij = ∂ ψ ∂ϵij . The second equation is the Ginzburg-Landau equation where η i = ∂ ψ ∂Pi and ξ ji = ∂ ψ ∂Pi,j .…”
Section: Ferroelectric Phase Field Modelmentioning
confidence: 99%