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09/13/2023
Modeling Dislocation Dynamics Data Using Semantic Web Technologies
Research in the field of Materials Science and Engineering focuses on th...
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09/12/2023
Unsupervised Learning of Nanoindentation Data to Infer Microstructural Details of Complex Materials
In this study, Cu-Cr composites were studied by nanoindentation. Arrays ...
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09/07/2023
Instance Segmentation of Dislocations in TEM Images
Quantitative Transmission Electron Microscopy (TEM) during in-situ strai...
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09/01/2023
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
Determining, understanding, and predicting the so-called structure-prope...
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07/12/2023
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Crystalline defects, such as line-like dislocations, play an important r...
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07/11/2023
Statistical analysis of Discrete Dislocation Dynamics simulations: initial structures, cross-slip and microstructure evolution
Over the past decades, discrete dislocation dynamics simulations have be...
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06/16/2022
Automated analysis of continuum fields from atomistic simulations using statistical machine learning
Atomistic simulations of the molecular dynamics/statics kind are regular...
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07/06/2021