Building a Database of Fatigue Fracture Images to train a CNN

Characterization of Additively Manufactured ZrB2-SiC Ultra High Temperature Ceramics via X-ray Microtomography

Graph Neural Networks for an Accurate and Interpretable Prediction of the Properties of Polycrystalline Materials

Machine Learning and Image Processing Techniques for Materials Evaluation

Machine Learning Ferroelectrics: Bayesianity, Parsimony, and Causality

Multivariate Statistical Analysis (MVSA) for Hyperspectral Images

Now On-Demand Only - Computational or Experimental? Interpreting X-ray Absorption and Diffraction Contrast for Massive Non-destructive 3D Grain Mapping of Metals in Laboratory CT

Open-source Hyper-dimensional Materials Analytics Using Hyperspy

Quantitative Comparisons of 2D Microstructures with the Wasserstein Metric

Spatial and Statistical Representation of Strain Localization as a Function of the 3D Microstructure Using Multi-modal and Multi-scale Data Merging

Training Deep-learning Models with 3D Microstructure Images to Predict Location-dependent Mechanical Properties in Additive Manufacturing

Understanding Degradation and Failure Mechanisms by Multiscale and Multiresolution Electron Microscopy

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