2021 journal article

Bayesian inference and uncertainty propagation using efficient fractional-order viscoelastic models for dielectric elastomers

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 32(4), 486–496.

By: P. Miles n, G. Pash n, R. Smith n & W. Oates*

author keywords: Fractional derivative; Riemann– Liouville; dielectric elastomers; viscoelasticity; Bayesian inference; uncertainty propagation
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 10, 2020

2021 journal article

Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations

NUCLEAR TECHNOLOGY, 207(1), 37–53.

By: P. Miles n, J. Cook n, Z. Angers*, C. Swenson*, B. Kiedrowski*, J. Mattingly n, R. Smith n

author keywords: Radiation detection; inverse problem; Bayesian inference; MCNP; surrogate modeling
TL;DR: The Monte Carlo N-Particle code is employed to provide high-fidelity simulations of radiation transport within an urban domain to develop efficient and accurate surrogate models of the detector responses that provide an efficient framework for Bayesian inference and experimental design. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 13, 2020

2021 article

The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures

Gao, W., Miles, P. R., Smith, R. C., & Oates, W. S. (2021, October 8). JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 10.

By: W. Gao*, P. Miles n, R. Smith n & W. Oates*

author keywords: Maximum entropy; data fusion; uncertainty quantification; dielectric elastomer membrane; ferroelectric domain wall
TL;DR: The Maximum Entropy (ME) method is applied to more complicated ferroelectric single crystals containing domain structures and soft electrostrictive membranes under both mechanical and electrical loading and finds that parameters, which were initially unidentifiable using a single quantity of interest, become identifiable using multiple quantities of interest. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 10, 2021

2019 journal article

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

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 30(14), 2027–2051.

By: L. Leon*, P. Miles n, R. Smith n & W. Oates*

author keywords: Ferroelectric; active subspace analysis; uncertainty quantification
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019

2019 article

Global Sensitivity Analysis of Fractional-Order Viscoelasticity Models

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968.

By: P. Miles n, G. Pash n, R. Smith n & W. Oates*

author keywords: Viscoelasticity; Global Sensitivity Analysis; Fractional-Order Calculus
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 9, 2019

2019 journal article

Uncertainty analysis of dielectric elastomer membranes under electromechanical loading

SMART MATERIALS AND STRUCTURES, 28(5).

By: W. Gao*, P. Miles n, A. Moura*, M. Hussaini* & W. Oates*

author keywords: Bayesian uncertainty; dielectric elastomer; membranes; hyperelastic
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: May 6, 2019

2018 article

Active Subspace Uncertainty Quantification for a Polydomain Ferroelectric Phase-Field Model

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596.

By: L. Leon n, R. Smith n, P. Miles n & W. Oates*

author keywords: Ferroelectric materials; ferroelectricity; active subspaces; surrogate model; uncertainty quantification; Bayesian inference
TL;DR: The analysis provides insight into how active subspace methodologies can be used to reduce computational power needed to perform Bayesian inference on model parameters informed by experimental or simulated data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2018 article

Fractional Viscoelasticity of Soft Elastomers and Auxetic Foams

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596.

By: H. Solheim*, E. Stanisauskis*, P. Miles n & W. Oates*

author keywords: Dielectric Elastomers; Auxetic Foams; Parameter Estimation; Fractional Order Calculus
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: October 16, 2018

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