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Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

Sandfeld, Stefan

1, 2024

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Universal features of amorphous plasticity

Nature communications, 2017-07, Vol.8 (1), p.15928-15928, Article 15928

2017

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Automated analysis of X-ray topography of 4H-SiC wafers: Image analysis, numerical computations, and artificial intelligence approaches for locating and characterizing screw dislocations

Journal of materials research, 2023-03, Vol.38 (5), p.1254-1265

2023

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Multiscale study of the dynamic friction coefficient due to asperity plowing

Friction, 2021-08, Vol.9 (4), p.822-839

2021

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Applications of Machine Learning to the Study of Crystalline Materials

Crystals (Basel), 2022-08, Vol.12 (8), p.1070

2022

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Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

Sandfeld, Stefan

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Propagating compaction bands in confined compression of snow

Nature physics, 2017-03, Vol.13 (3), p.272-275

2017

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Scalar model for frictional precursors dynamics

Scientific reports, 2015-02, Vol.5 (1), p.8086-8086, Article 8086

2015

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Machine Learning-Based Classification of Dislocation Microstructures

Frontiers in materials, 2019-06, Vol.6

2019

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Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’

Machine learning: science and technology, 2024-03, Vol.5 (1), p.15006

2024

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OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

SoftwareX, 2021-07, Vol.15, p.100708, Article 100708

2021

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Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

Machine learning with applications, 2024-06, Vol.16, p.100544, Article 100544

2024

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Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

Crystals (Basel), 2021-03, Vol.11 (3), p.258

2021

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Analysis of the Basal Plane Dislocation Density and Thermomechanical Stress during 100 mm PVT Growth of 4H-SiC

Materials, 2019-07, Vol.12 (13), p.2207

2019

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Enhancing Semantic Segmentation in High-Resolution TEM Images: A Comparative Study of Batch Normalization and Instance Normalization

Microscopy and microanalysis, 2024-10

2024

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Insights from a minimal model of dislocation-assisted rafting in single crystal Nickel-based superalloys

Scripta materialia, 2016-10, Vol.123, p.42-45

2016

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Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

Advanced engineering materials, 2022-12, Vol.24 (12), p.n/a

2022

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A dislocation dynamics-assisted phase field model for Nickel-based superalloys: The role of initial dislocation density and external stress during creep

Journal of alloys and compounds, 2017-05, Vol.703, p.389-395

2017

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Scaling properties of dislocation simulations in the similitude regime

Modelling and simulation in materials science and engineering, 2014-09, Vol.22 (6), p.65012-20

2014

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Microstructural comparison of the kinematics of discrete and continuum dislocations models

Modelling and simulation in materials science and engineering, 2015-12, Vol.23 (8), p.85003-27

2015

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Pattern formation in a minimal model of continuum dislocation plasticity

Modelling and simulation in materials science and engineering, 2015-09, Vol.23 (6), p.65005-18

2015

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A continuum approach to combined γ/γ′ evolution and dislocation plasticity in Nickel-based superalloys

International journal of plasticity, 2017-08, Vol.95, p.142-162

2017

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Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

Data in brief, 2019-12, Vol.27, p.104724-104724, Article 104724

2019

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Comparative Analysis of Self-Supervised Learning Techniques for Electron Microscopy Images

BIO web of conferences, 2024, Vol.129, p.10037

2024

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Breakdown of Archard law due to transition of wear mechanism from plasticity to fracture

Tribology international, 2022-09, Vol.173, p.107660, Article 107660

2022

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Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

Universal features of amorphous plasticity

Automated analysis of X-ray topography of 4H-SiC wafers: Image analysis, numerical computations, and artificial intelligence approaches for locating and characterizing screw dislocations

Multiscale study of the dynamic friction coefficient due to asperity plowing

Applications of Machine Learning to the Study of Crystalline Materials

Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

Propagating compaction bands in confined compression of snow

Scalar model for frictional precursors dynamics

Machine Learning-Based Classification of Dislocation Microstructures

Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

Analysis of the Basal Plane Dislocation Density and Thermomechanical Stress during 100 mm PVT Growth of 4H-SiC

Enhancing Semantic Segmentation in High-Resolution TEM Images: A Comparative Study of Batch Normalization and Instance Normalization

Insights from a minimal model of dislocation-assisted rafting in single crystal Nickel-based superalloys

Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

A dislocation dynamics-assisted phase field model for Nickel-based superalloys: The role of initial dislocation density and external stress during creep

Scaling properties of dislocation simulations in the similitude regime

Microstructural comparison of the kinematics of discrete and continuum dislocations models

Pattern formation in a minimal model of continuum dislocation plasticity

A continuum approach to combined γ/γ′ evolution and dislocation plasticity in Nickel-based superalloys

Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

Comparative Analysis of Self-Supervised Learning Techniques for Electron Microscopy Images

Breakdown of Archard law due to transition of wear mechanism from plasticity to fracture

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