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Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Integrating materials and manufacturing innovation, 2018-09, Vol.7 (3), p.157-172

2018

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Microstructure reconstructions from 2-point statistics using phase-recovery algorithms

Acta materialia, 2008-03, Vol.56 (5), p.942-948

2008

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Microstructure informatics using higher-order statistics and efficient data-mining protocols

JOM (1989), 2011-04, Vol.63 (4), p.34-41

2011

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Optimized structure based representative volume element sets reflecting the ensemble-averaged 2-point statistics

Acta materialia, 2010-08, Vol.58 (13), p.4432-4445

2010

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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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Microstructural and micromechanical evolution during dynamic recrystallization

International journal of plasticity, 2018-01, Vol.100 (C), p.52-68

2018

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Machine Learning–Based Reduce Order Crystal Plasticity Modeling for ICME Applications

Integrating materials and manufacturing innovation, 2018-12, Vol.7 (4), p.214-230

2018

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Unsupervised Learning for Efficient Texture Estimation From Limited Discrete Orientation Data

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2013-11, Vol.44 (11), p.4891-4905

2013

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Comparison of full field predictions of crystal plasticity simulations using the Voce and the dislocation density based hardening laws

International journal of plasticity, 2021-12, Vol.147, p.103099, Article 103099

2021

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Microstructure sensitive design for performance optimization

Progress in materials science, 2010-08, Vol.55 (6), p.477-562

2010

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Stochastic modeling of twin nucleation in polycrystals: An application in hexagonal close-packed metals

International journal of plasticity, 2014-05, Vol.56, p.119-138

2014

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Understanding and visualizing microstructure and microstructure variance as a stochastic process

Acta materialia, 2011-09, Vol.59 (16), p.6387-6400

2011

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A homogenized primary creep model of nickel-base superalloys and its application to determining micro-mechanistic characteristics

International journal of plasticity, 2018-11, Vol.110 (C), p.202-219

2018

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Abnormal texture development in magnesium alloy Mg–3Al–1Zn during large strain electroplastic rolling: Effect of pulsed electric current

International journal of plasticity, 2016-12, Vol.87, p.86-99

2016

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Development of the Cube Component 001100 During Plane Strain Compression of Copper and Its Importance in Recrystallization Nucleation

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2022-02, Vol.53 (2), p.503-522

2022

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The kinetics of the ω to α phase transformation in Zr, Ti: Analysis of data from shock-recovered samples and atomistic simulations

Acta materialia, 2014-09, Vol.77, p.191-199

2014

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High-precision orientation mapping from spherical harmonic transform indexing of electron backscatter diffraction patterns

Ultramicroscopy, 2021-03, Vol.222, p.113187-113187, Article 113187

2021

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Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems

Acta materialia, 2010-04, Vol.58 (7), p.2716-2725

2010

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Efficient computation of the angularly resolved chord length distributions and lineal path functions in large microstructure datasets

Modelling and simulation in materials science and engineering, 2016-10, Vol.24 (7), p.75002

2016

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Bayesian inference for polycrystalline materials

Stat (International Statistical Institute), 2021-12, Vol.10 (1), p.n/a

2021

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A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models

Acta materialia, 2011, Vol.59 (2), p.699-707

2011

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A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems

Integrating materials and manufacturing innovation, 2022-12, Vol.11 (4), p.557-567

2022

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Application of the Maximum Flow–Minimum Cut Algorithm to Segmentation and Clustering of Materials Datasets

Microscopy and microanalysis, 2019-08, Vol.25 (4), p.924-941

2019

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Uncertainty Quantification Accounting for Model Discrepancy Within a Random Effects Bayesian Framework

Integrating materials and manufacturing innovation, 2020-06, Vol.9 (2), p.181-198

2020

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Mesoscale slip behavior in single crystal and bicrystal tantalum

Materialia, 2023-05, Vol.28 (C), p.101730, Article 101730

2023

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Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Microstructure reconstructions from 2-point statistics using phase-recovery algorithms

Microstructure informatics using higher-order statistics and efficient data-mining protocols

Optimized structure based representative volume element sets reflecting the ensemble-averaged 2-point statistics

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

Microstructural and micromechanical evolution during dynamic recrystallization

Machine Learning–Based Reduce Order Crystal Plasticity Modeling for ICME Applications

Unsupervised Learning for Efficient Texture Estimation From Limited Discrete Orientation Data

Comparison of full field predictions of crystal plasticity simulations using the Voce and the dislocation density based hardening laws

Microstructure sensitive design for performance optimization

Stochastic modeling of twin nucleation in polycrystals: An application in hexagonal close-packed metals

Understanding and visualizing microstructure and microstructure variance as a stochastic process

A homogenized primary creep model of nickel-base superalloys and its application to determining micro-mechanistic characteristics

Abnormal texture development in magnesium alloy Mg–3Al–1Zn during large strain electroplastic rolling: Effect of pulsed electric current

Development of the Cube Component 001100 During Plane Strain Compression of Copper and Its Importance in Recrystallization Nucleation

The kinetics of the ω to α phase transformation in Zr, Ti: Analysis of data from shock-recovered samples and atomistic simulations

High-precision orientation mapping from spherical harmonic transform indexing of electron backscatter diffraction patterns

Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems

Efficient computation of the angularly resolved chord length distributions and lineal path functions in large microstructure datasets

Bayesian inference for polycrystalline materials

A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models

A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems

Application of the Maximum Flow–Minimum Cut Algorithm to Segmentation and Clustering of Materials Datasets

Uncertainty Quantification Accounting for Model Discrepancy Within a Random Effects Bayesian Framework

Mesoscale slip behavior in single crystal and bicrystal tantalum

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