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Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials

Acta biomaterialia, 2022-04, Vol.143, p.1-25

2022

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Estimating the slip resistance from spherical nanoindentation and orientation measurements in polycrystalline samples of cubic metals

International journal of plasticity, 2017-05, Vol.92 (C), p.19-30

2017

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Bayesian estimation of single ply anisotropic elastic constants from spherical indentations on multi-laminate polymer-matrix fiber-reinforced composite samples

Meccanica (Milan), 2021-06, Vol.56 (6), p.1575-1586

2021

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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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Modeling anisotropic strain hardening and deformation textures in low stacking fault energy fcc metals

International journal of plasticity, 2001-01, Vol.17 (6), p.837-860

Kalidindi, S R

2001

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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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Building texture evolution networks for deformation processing of polycrystalline fcc metals using spectral approaches: Applications to process design for targeted performance

International journal of plasticity, 2010-08, Vol.26 (8), p.1183-1194

2010

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Autonomous Development of a Machine-Learning Model for the Plastic Response of Two-Phase Composites from Micromechanical Finite Element Models

JOM (1989), 2021-07, Vol.73 (7), p.2085-2095

2021

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Critical Comparison of Spherical Microindentation, Small Punch Test, and Uniaxial Tensile Testing for Selective Laser Melted Inconel 718

Applied sciences, 2021-01, Vol.11 (3), p.1061

2021

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Hierarchical Materials Informatics: Novel Analytics for Materials Data

Kalidindi, Surya R

1, 2015

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Addressing biases in spectral databases for increasing accuracy and computational efficiency of crystal plasticity computations

International journal of plasticity, 2021-03, Vol.138, p.102945, Article 102945

2021

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Prediction of the Electron Density of States for Crystalline Compounds with Atomistic Line Graph Neural Networks (ALIGNN)

JOM (1989), 2022-04, Vol.74 (4), p.1395-1405

2022

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Microstructure Quantification and Multiresolution Mechanical Characterization of Ti-Based Bulk Metallic Glass-Matrix Composites

JOM (1989), 2021-11, Vol.73 (11), p.3312-3322

2021

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Materials knowledge system for nonlinear composites

Computer methods in applied mechanics and engineering, 2019-04, Vol.346, p.180-196

2019

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The materials innovation ecosystem: A key enabler for the Materials Genome Initiative

MRS bulletin, 2016-04, Vol.41 (4), p.326-337

2016

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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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Computationally efficient predictions of crystal plasticity based forming limit diagrams using a spectral database

International journal of plasticity, 2018-04, Vol.103, p.168-187

2018

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High-throughput characterization of the cyclic response of Ti-6Al-4V using spherical microindentation stress–strain protocols

International journal of fatigue, 2022-08, Vol.161, p.106921, Article 106921

2022

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Digital Representation and Quantification of Discrete Dislocation Structures

JOM (1989), 2021-07, Vol.73 (7), p.2143-2158

2021

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Analysis of Fatigue Indicator Parameters for Ti-6Al-4V microstructures using extreme value statistics in the HCF regime

International journal of fatigue, 2021-04, Vol.145, p.106096, Article 106096

2021

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Crystal Plasticity Modeling of Microstructure Evolution and Mechanical Fields During Processing of Metals Using Spectral Databases

JOM (1989), 2017-05, Vol.69 (5), p.830-838

2017

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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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Crystal plasticity finite element simulations using a database of discrete Fourier transforms

International journal of plasticity, 2015-03, Vol.66, p.71-84

2015

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Computationally efficient database and spectral interpolation for fully plastic Taylor-type crystal plasticity calculations of face-centered cubic polycrystals

International journal of plasticity, 2008-07, Vol.24 (7), p.1264-1276

2008

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Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials

Estimating the slip resistance from spherical nanoindentation and orientation measurements in polycrystalline samples of cubic metals

Bayesian estimation of single ply anisotropic elastic constants from spherical indentations on multi-laminate polymer-matrix fiber-reinforced composite samples

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

Modeling anisotropic strain hardening and deformation textures in low stacking fault energy fcc metals

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

Building texture evolution networks for deformation processing of polycrystalline fcc metals using spectral approaches: Applications to process design for targeted performance

Autonomous Development of a Machine-Learning Model for the Plastic Response of Two-Phase Composites from Micromechanical Finite Element Models

Critical Comparison of Spherical Microindentation, Small Punch Test, and Uniaxial Tensile Testing for Selective Laser Melted Inconel 718

Hierarchical Materials Informatics: Novel Analytics for Materials Data

Addressing biases in spectral databases for increasing accuracy and computational efficiency of crystal plasticity computations

Prediction of the Electron Density of States for Crystalline Compounds with Atomistic Line Graph Neural Networks (ALIGNN)

Microstructure Quantification and Multiresolution Mechanical Characterization of Ti-Based Bulk Metallic Glass-Matrix Composites

Materials knowledge system for nonlinear composites

The materials innovation ecosystem: A key enabler for the Materials Genome Initiative

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

Computationally efficient predictions of crystal plasticity based forming limit diagrams using a spectral database

High-throughput characterization of the cyclic response of Ti-6Al-4V using spherical microindentation stress–strain protocols

Digital Representation and Quantification of Discrete Dislocation Structures

Analysis of Fatigue Indicator Parameters for Ti-6Al-4V microstructures using extreme value statistics in the HCF regime

Crystal Plasticity Modeling of Microstructure Evolution and Mechanical Fields During Processing of Metals Using Spectral Databases

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

Crystal plasticity finite element simulations using a database of discrete Fourier transforms

Computationally efficient database and spectral interpolation for fully plastic Taylor-type crystal plasticity calculations of face-centered cubic polycrystals

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