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Publication	Type	Year
Pattern-Induced Bias (PIB) a "New" Error term in 2D-DIC Matching Society for Experimental Mechanics Annual Conference and Exposition Samuel Saiid Fayad, Phillip L. Reu, Richard B. Lehoucq, Daniel Z. Turner	Abstract – 2018 Abstract	2018
High-throughput Material Characterization using the Virtual Fields Method Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Thomas Seidl, Daniel Z. Turner https://www.osti.gov/search/identifier:1474817	SAND Report – 2018 SAND Report	2018
Neural Algorithms for Low Power Implementation of Partial Differential Equations James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa https://www.osti.gov/search/identifier:1474253	SAND Report – 2018 SAND Report	2018
Nonlocal convection-superdiffusion problems on bounded domains and finite-range jump processes Computational Methods In Applied Mathematics. Marta D'Elia, Qiang (Columbia) Du, Max (FSU) Gunzburger, Richard B. Lehoucq https://www.osti.gov/search/identifier:1469622	Journal Article – 2018 Journal Article	2018
Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks 2018 International Conference on Neuromorphic Systems (ICONS) James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa https://www.osti.gov/search/identifier:1582258	Conference Paper – 2018 Conference Paper	2018
Spiking Neural Algorithms for Markov Process Random Walk International Joint Conference on Neural Networks William Mark Severa, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone https://www.osti.gov/search/identifier:1532605	Conference Paper – 2018 Conference Paper	2018
Parameter Covariance and Non-Uniqueness in Material Model Calibration using the Virtual Fields Method Computational Materials Science Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner https://www.osti.gov/search/identifier:1457518	Journal Article – 2018 Journal Article	2018
A Performance Portable Sparse Tensor Decomposition for Poisson Regression Problems Cis Erb Daniel Dunlavy, Richard Frederick Barrett, Richard B. Lehoucq, Tamara G. Kolda, Keita Teranishi	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Comparison of Material Model Calibration using Tenile Dog Bones versus the Virtual Fields Method Society for Experimental Mechanics Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner https://www.osti.gov/search/identifier:1524825	Conference Paper – 2018 Conference Paper	2018
Spiking Neural Algorithms for Markov Process Random Walk International Joint Conference on Neural Networks 2018 William Mark Severa, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone https://www.osti.gov/search/identifier:1525633	Conference Paper – 2018 Conference Paper	2018
Classical, Graph and Nonlocal Laplacians GraphEx Richard B. Lehoucq https://www.osti.gov/search/identifier:1510862	Conference Paper – 2018 Conference Paper	2018
Comparison of Material Model Calibration using Tenile Dog Bones versus the Virtual Fields Method Society for Experimental Mechanics Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner	Abstract – 2018 Abstract	2018
TriData: High Performance Linear Algebra-Based Data Analytics Siam Pp18 Michael Wolf, Daniel Dunlavy, Richard B. Lehoucq, Jonathan W. Berry, Daniel (Rice) Bourgeois https://www.osti.gov/search/identifier:1497538	Conference Paper – 2018 Conference Paper	2018
Identification of Viscoplastic Model Parameters for 304L Stainless Steel using the Virtual Fields Method International Digital Image Correlation Society (iDICs) conference Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner https://www.osti.gov/search/identifier:1510659	Conference Paper – 2017 Conference Paper	2017
Comparison of Material Model Calibration using Tensile Dog Bones Versus the Virtual Fields Method Society for Experiment Mechanics (SEM) Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner, Sharlotte LorraineBolyard Kramer	Abstract – 2017 Abstract	2017
Calibration of Viscoplastic Material Models for 304L Stainless Steel using DIC and the Virtual Fields Method International Digital Image Correlation Society (iDICs) conference Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner	Abstract – 2017 Abstract	2017
TriData: High Performance Linear Algebra-Based Data Analytics Siam Pp18 Michael Wolf, Daniel Dunlavy, Richard B. Lehoucq, Daniel Bourgeois (Rice), Alicia Marie Klinvex	Abstract – 2017 Abstract	2017
A computational spectral graph theory tutorial Householder Symposium XX Richard B. Lehoucq, Erik Gunnar Boman, Karen D. Devine, Jonathan W. Berry, Daniel Dunlavy, Michael Wolf, Van (LLNL) Henson, Geoff (LLNL) Sanders https://www.osti.gov/search/identifier:1456850	Conference Paper – 2017 Conference Paper	2017
Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing Invited seminar Elizabeth M. C. Jones, Phillip L. Reu, Sharlotte LorraineBolyard Kramer, Kyle N. Karlson, Richard B. Lehoucq, Jay D. Carroll, Daniel Z. Turner https://www.osti.gov/search/identifier:1455344	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
The effect of the ill-posed problem on quantitative error assessment in digital image correlation Experimental Mechanics Daniel Z. Turner, Richard B. Lehoucq, Phillip L. Reu https://www.osti.gov/search/identifier:1421608	Journal Article – 2017 Journal Article	2017
Identification of Viscoplastic Model Parameters for 304L Stainless Steel using the Virtual Fields Method Society for Experiment Mechanics (SEM) Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner	Abstract – 2017 Abstract	2017
Identifying and Validating Material Models with Non-Unique Parameter Sets International Digital Image Correlation Society Elizabeth M. C. Jones, Phillip L. Reu, Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Daniel Z. Turner https://www.osti.gov/search/identifier:1410752	Conference Paper – 2016 Conference Paper	2016
Utilizing Digital Image Correlation for Improved Validation of Material Models Society for Experimental Mechanics Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner	Abstract – 2016 Abstract	2016
Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing Invited seminar Elizabeth M. C. Jones, Jay D. Carroll, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Richard B. Lehoucq, Phillip L. Reu, Daniel Z. Turner https://www.osti.gov/search/identifier:1394878	Presentation (non-conference) – 2016 Presentation (non-conference)	2016
Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing International Digital Image Correlation Society Elizabeth M. C. Jones, Phillip L. Reu, Sharlotte LorraineBolyard Kramer, Jay D. Carroll, Daniel Z. Turner, Kyle N. Karlson, Richard B. Lehoucq	Abstract – 2016 Abstract	2016
Document Title	Type	Year

Results 26–50 of 155

Publications

Pattern-Induced Bias (PIB) a "New" Error term in 2D-DIC Matching

High-throughput Material Characterization using the Virtual Fields Method

Neural Algorithms for Low Power Implementation of Partial Differential Equations

Nonlocal convection-superdiffusion problems on bounded domains and finite-range jump processes

Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks

Spiking Neural Algorithms for Markov Process Random Walk

Parameter Covariance and Non-Uniqueness in Material Model Calibration using the Virtual Fields Method

A Performance Portable Sparse Tensor Decomposition for Poisson Regression Problems

Comparison of Material Model Calibration using Tenile Dog Bones versus the Virtual Fields Method

Spiking Neural Algorithms for Markov Process Random Walk

Classical, Graph and Nonlocal Laplacians

Comparison of Material Model Calibration using Tenile Dog Bones versus the Virtual Fields Method

TriData: High Performance Linear Algebra-Based Data Analytics

Identification of Viscoplastic Model Parameters for 304L Stainless Steel using the Virtual Fields Method

Comparison of Material Model Calibration using Tensile Dog Bones Versus the Virtual Fields Method

Calibration of Viscoplastic Material Models for 304L Stainless Steel using DIC and the Virtual Fields Method

TriData: High Performance Linear Algebra-Based Data Analytics

A computational spectral graph theory tutorial

Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing

The effect of the ill-posed problem on quantitative error assessment in digital image correlation

Identification of Viscoplastic Model Parameters for 304L Stainless Steel using the Virtual Fields Method

Identifying and Validating Material Models with Non-Unique Parameter Sets

Utilizing Digital Image Correlation for Improved Validation of Material Models

Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing

Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing