Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model
LS Leon, PR Miles, RC Smith… - Journal of Intelligent …, 2019 - journals.sagepub.com
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 …
are applied to the ferroelectric material lead titanate. A motivating objective is to determine …
Identifiability and active subspace analysis for a polydomain ferroelectric phase field model
We consider subset selection and active subspace techniques for parameters in a
continuum phase-field polydomain model for ferroelectric materials. This analysis is …
continuum phase-field polydomain model for ferroelectric materials. This analysis is …
Active subspace uncertainty quantification for a polydomain ferroelectric phase-field model
LS Leon, RC Smith, P Miles… - Behavior and Mechanics …, 2018 - spiedigitallibrary.org
Quantum-informed ferroelectric phase field models capable of predicting material behavior,
are necessary for facilitating the development and production of many adaptive structures …
are necessary for facilitating the development and production of many adaptive structures …
Application of the maximum entropy method to multifunctional materials for data fusion and uncertainty quantification
Bayesian statistics is a quintessential tool for model validation in many applications
including smart materials, adaptive structures, and intelligent systems. It typically uses either …
including smart materials, adaptive structures, and intelligent systems. It typically uses either …