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Feature engineering of material structure for AI-based materials knowledge systems

Journal of applied physics, 2020-07, Vol.128 (4)

Kalidindi, Surya R.

2020

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Spherical nanoindentation stress–strain curves

Materials science & engineering. R, Reports : a review journal, 2015-05, Vol.91 (C), p.1-36

2015

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Materials Data Science: Current Status and Future Outlook

Annual review of materials research, 2015-07, Vol.45 (1), p.171-193

2015

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Hierarchical Materials Informatics: Novel Analytics for Materials Data

Kalidindi, Surya R

1, 2015

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Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels

Acta materialia, 2017-01, Vol.123, p.55-69

2017

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Key computational modeling issues in Integrated Computational Materials Engineering

Computer aided design, 2013-01, Vol.45 (1), p.4-25

2013

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Data science and cyberinfrastructure: critical enablers for accelerated development of hierarchical materials

International materials reviews, 2015-04, Vol.60 (3), p.150-168

Kalidindi, Surya R.

2015

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Correlation of spherical nanoindentation stress-strain curves to simple compression stress-strain curves for elastic-plastic isotropic materials using finite element models

Acta materialia, 2016-06, Vol.112 (C), p.295-302

2016

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Deformation twinning in AZ31: Influence on strain hardening and texture evolution

Acta materialia, 2010-11, Vol.58 (19), p.6230-6242

2010

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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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Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system

Acta materialia, 2015-06, Vol.91, p.239-254

2015

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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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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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Bayesian analysis of parametric uncertainties and model form probabilities for two different crystal plasticity models of lamellar grains in α+β Titanium alloys

International journal of plasticity, 2022-07, Vol.154, p.103289, Article 103289

2022

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Quantification and classification of microstructures in ternary eutectic alloys using 2-point spatial correlations and principal component analyses

Acta materialia, 2016-05, Vol.110, p.131-141

2016

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Determination of the effective zero-point and the extraction of spherical nanoindentation stress–strain curves

Acta materialia, 2008-08, Vol.56 (14), p.3523-3532

2008

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Influence of deformation twinning on static annealing of AZ31 Mg alloy

Acta materialia, 2013-09, Vol.61 (16), p.5966-5978

2013

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A hybrid approach for the efficient computation of polycrystalline yield loci with the accuracy of the crystal plasticity finite element method

Modelling and simulation in materials science and engineering, 2022-03, Vol.30 (2), p.25015

2022

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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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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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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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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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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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A Bayesian framework for materials knowledge systems

MRS communications, 2019-06, Vol.9 (2), p.518-531

Kalidindi, Surya R.

2019

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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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Feature engineering of material structure for AI-based materials knowledge systems

Spherical nanoindentation stress–strain curves

Materials Data Science: Current Status and Future Outlook

Hierarchical Materials Informatics: Novel Analytics for Materials Data

Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels

Key computational modeling issues in Integrated Computational Materials Engineering

Data science and cyberinfrastructure: critical enablers for accelerated development of hierarchical materials

Correlation of spherical nanoindentation stress-strain curves to simple compression stress-strain curves for elastic-plastic isotropic materials using finite element models

Deformation twinning in AZ31: Influence on strain hardening and texture evolution

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

Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system

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

Materials knowledge system for nonlinear composites

Bayesian analysis of parametric uncertainties and model form probabilities for two different crystal plasticity models of lamellar grains in α+β Titanium alloys

Quantification and classification of microstructures in ternary eutectic alloys using 2-point spatial correlations and principal component analyses

Determination of the effective zero-point and the extraction of spherical nanoindentation stress–strain curves

Influence of deformation twinning on static annealing of AZ31 Mg alloy

A hybrid approach for the efficient computation of polycrystalline yield loci with the accuracy of the crystal plasticity finite element method

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

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

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

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

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

A Bayesian framework for materials knowledge systems

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

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