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Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters

Integrating materials and manufacturing innovation, 2014-12, Vol.3 (1), p.90-108

2014

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Novel microstructure quantification framework for databasing, visualization, and analysis of microstructure data

Integrating materials and manufacturing innovation, 2013-12, Vol.2 (1), p.54-80

2013

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Versatile algorithms for the computation of 2-point spatial correlations in quantifying material structure

Integrating materials and manufacturing innovation, 2016, Vol.5 (1), p.1-15

2016

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Materials Knowledge Systems in Python—a Data Science Framework for Accelerated Development of Hierarchical Materials

Integrating materials and manufacturing innovation, 2017-03, Vol.6 (1), p.36-53

2017

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A Framework for the Systematic Design of Segmentation Workflows

Integrating materials and manufacturing innovation, 2020-03, Vol.9 (1), p.70-88

2020

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Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data

Integrating materials and manufacturing innovation, 2017-03, Vol.6 (1), p.54-68

2017

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Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements

Integrating materials and manufacturing innovation, 2021-03, Vol.10 (1), p.99-114

2021

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High throughput exploration of process-property linkages in Al-6061 using instrumented spherical microindentation and microstructurally graded samples

Integrating materials and manufacturing innovation, 2016, Vol.5 (1), p.192-211

2016

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Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition

Integrating materials and manufacturing innovation, 2022-09, Vol.11 (3), p.433-449

2022

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Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys

Integrating materials and manufacturing innovation, 2022, Vol.11 (3), p.313-326

2022

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Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures

Integrating materials and manufacturing innovation, 2017-06, Vol.6 (2), p.160-171

2017

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Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches

Integrating materials and manufacturing innovation, 2020-09, Vol.9 (3), p.240-256

2020

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Machine learning approaches for elastic localization linkages in high-contrast composite materials

Integrating materials and manufacturing innovation, 2015, Vol.4 (1), p.192-208

2015

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A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites

Integrating materials and manufacturing innovation, 2019-06, Vol.8 (2), p.67-81

2019

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Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN

Integrating materials and manufacturing innovation, 2019-12, Vol.8 (4), p.441-454

2019

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Feature Engineering for Microstructure–Property Mapping in Organic Photovoltaics

Integrating materials and manufacturing innovation, 2022, Vol.11 (3), p.352-362

2022

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Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part I—Measurements of Spherical Indentation Stress–Strain Curves

Integrating materials and manufacturing innovation, 2021-03, Vol.10 (1), p.82-98

2021

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Study of Local Mechanical Responses in an Epoxy–Carbon Fiber Laminate Composite Using Spherical Indentation Stress–Strain Protocols

Integrating materials and manufacturing innovation, 2019-12, Vol.8 (4), p.495-508

2019

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High-Throughput Exploration of the Process Space in 18% Ni (350) Maraging Steels via Spherical Indentation Stress–Strain Protocols and Gaussian Process Models

Integrating materials and manufacturing innovation, 2020-09, Vol.9 (3), p.199-212

2020

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Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series Analysis

Integrating materials and manufacturing innovation, 2017-06, Vol.6 (2), p.147-159

2017

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Nacre-like hybrid films: Structure, properties, and the effect of relative humidity

Journal of the mechanical behavior of biomedical materials, 2016-03, Vol.55, p.140-150

2016

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Probing Local Mechanical Properties in Polymer-Ceramic Hybrid Acetabular Sockets Using Spherical Indentation Stress-Strain Protocols

Integrating materials and manufacturing innovation, 2019-09, Vol.8 (3), p.257-272

2019

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Illustrating an Effective Workflow for Accelerated Materials Discovery

Integrating materials and manufacturing innovation, 2024, Vol.13 (2), p.453-473

2024

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Reduced-Order Microstructure-Sensitive Models for Damage Initiation in Two-Phase Composites

Integrating materials and manufacturing innovation, 2018-09, Vol.7 (3), p.97-115

2018

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Modeling Anisotropic Stress-Strain Response and Crystallographic Texture Evolution in α-Titanium during Large Plastic Deformation using Taylor-Type Models: Influence of Initial Texture and Purity

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2008-12, Vol.39 (12), p.3046-3054

2008

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Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters

Novel microstructure quantification framework for databasing, visualization, and analysis of microstructure data

Versatile algorithms for the computation of 2-point spatial correlations in quantifying material structure

Materials Knowledge Systems in Python—a Data Science Framework for Accelerated Development of Hierarchical Materials

A Framework for the Systematic Design of Segmentation Workflows

Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data

Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements

High throughput exploration of process-property linkages in Al-6061 using instrumented spherical microindentation and microstructurally graded samples

Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition

Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys

Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures

Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches

Machine learning approaches for elastic localization linkages in high-contrast composite materials

A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites

Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN

Feature Engineering for Microstructure–Property Mapping in Organic Photovoltaics

Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part I—Measurements of Spherical Indentation Stress–Strain Curves

Study of Local Mechanical Responses in an Epoxy–Carbon Fiber Laminate Composite Using Spherical Indentation Stress–Strain Protocols

High-Throughput Exploration of the Process Space in 18% Ni (350) Maraging Steels via Spherical Indentation Stress–Strain Protocols and Gaussian Process Models

Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series Analysis

Nacre-like hybrid films: Structure, properties, and the effect of relative humidity

Probing Local Mechanical Properties in Polymer-Ceramic Hybrid Acetabular Sockets Using Spherical Indentation Stress-Strain Protocols

Illustrating an Effective Workflow for Accelerated Materials Discovery

Reduced-Order Microstructure-Sensitive Models for Damage Initiation in Two-Phase Composites

Modeling Anisotropic Stress-Strain Response and Crystallographic Texture Evolution in α-Titanium during Large Plastic Deformation using Taylor-Type Models: Influence of Initial Texture and Purity

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