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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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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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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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Understanding pop-ins in spherical nanoindentation

Applied physics letters, 2014-10, Vol.105 (16)

2014

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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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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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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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Viscoelasticity and high buckling stress of dense carbon nanotube brushes

Carbon (New York), 2009-07, Vol.47 (8), p.1969-1976

2009

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Strain hardening of titanium: role of deformation twinning

Acta materialia, 2003-08, Vol.51 (14), p.4225-4237

2003

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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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An approach towards plastic scintillators from thermally activated delayed fluorescent dyes and cross-linkable bismuth compounds

Journal of materials chemistry. C, Materials for optical and electronic devices, 2022-12, Vol.1 (46), p.17481-17488

2022

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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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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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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

Volltextzugriff (PDF)

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

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

2016

Volltextzugriff (PDF)

Microstructure sensitive design for performance optimization

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

2010

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Materials graph ontology

Materials letters, 2021-07, Vol.295, p.129836, Article 129836

2021

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Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials

Journal of computational physics, 2017-10, Vol.346, p.242-261

2017

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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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Digital Representation and Quantification of Discrete Dislocation Structures

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

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

Mechanical characterization of grain boundaries using nanoindentation

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

Understanding pop-ins in spherical nanoindentation

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

Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters

Role of materials data science and informatics in accelerated materials innovation

Viscoelasticity and high buckling stress of dense carbon nanotube brushes

Strain hardening of titanium: role of deformation twinning

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

An approach towards plastic scintillators from thermally activated delayed fluorescent dyes and cross-linkable bismuth compounds

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

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

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

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

Microstructure sensitive design for performance optimization

Materials graph ontology

Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials

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

Digital Representation and Quantification of Discrete Dislocation Structures

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

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