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Studying grain boundary regions in polycrystalline materials using spherical nano-indentation and orientation imaging microscopy

Journal of materials science, 2012-01, Vol.47 (2), p.815-823

2012

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A Gaussian process autoregressive model capturing microstructure evolution paths in a Ni–Mo–Nb alloy

Journal of materials science, 2024-03, Vol.59 (12), p.4863-4881

2024

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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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Semi-automatic image analysis of particle morphology of cellulose nanocrystals

Cellulose (London), 2021-03, Vol.28 (4), p.2183-2201

2021

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Quantifying the mechanical effects of He, W and He + W ion irradiation on tungsten with spherical nanoindentation

Journal of materials science, 2018-04, Vol.53 (7), p.5296-5316

2018

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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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Transmission electron microscopy image analysis effects on cellulose nanocrystal particle size measurements

Cellulose (London), 2022-11, Vol.29 (17), p.9035-9053

2022

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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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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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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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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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Diffusiophoresis-enhanced particle deposition for additive manufacturing

MRS communications, 2023-12, Vol.13 (6), p.1053-1062

2023

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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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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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Studying grain boundary regions in polycrystalline materials using spherical nano-indentation and orientation imaging microscopy

A Gaussian process autoregressive model capturing microstructure evolution paths in a Ni–Mo–Nb alloy

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

Semi-automatic image analysis of particle morphology of cellulose nanocrystals

Quantifying the mechanical effects of He, W and He + W ion irradiation on tungsten with spherical nanoindentation

A Framework for the Systematic Design of Segmentation Workflows

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

Transmission electron microscopy image analysis effects on cellulose nanocrystal particle size measurements

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

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

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

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

Diffusiophoresis-enhanced particle deposition for additive manufacturing

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

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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