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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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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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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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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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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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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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Mechanical characterization of grain boundaries using nanoindentation

Current opinion in solid state & materials science, 2014-08, Vol.18 (4), p.196-204

2014

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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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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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Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression

Materials, 2020-10, Vol.13 (20), p.4641

2020

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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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Crystal plasticity simulations using discrete Fourier transforms

Acta materialia, 2009-04, Vol.57 (6), p.1777-1784

2009

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Study of a Bimodal α–β Ti Alloy Microstructure Using Multi-Resolution Spherical Indentation Stress-Strain Protocols

Journal of composites science, 2022-06, Vol.6 (6), p.162

2022

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Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics

Modelling and simulation in materials science and engineering, 2019-09, Vol.27 (8), p.84006

2019

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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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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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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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Extracting single-crystal elastic constants from polycrystalline samples using spherical nanoindentation and orientation measurements

Acta materialia, 2014-10, Vol.79, p.108-116

2014

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Role of materials data science and informatics in accelerated materials innovation

MRS bulletin, 2016-08, Vol.41 (8), p.596-602

2016

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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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Materials Data Science: Current Status and Future Outlook

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

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

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

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

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

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

Mechanical characterization of grain boundaries using nanoindentation

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

Spherical nanoindentation stress–strain curves

Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression

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

Crystal plasticity simulations using discrete Fourier transforms

Study of a Bimodal α–β Ti Alloy Microstructure Using Multi-Resolution Spherical Indentation Stress-Strain Protocols

Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics

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

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

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

Extracting single-crystal elastic constants from polycrystalline samples using spherical nanoindentation and orientation measurements

Role of materials data science and informatics in accelerated materials innovation

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

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