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Meeting MS&T21: Materials Science & Technology
Symposium Materials Informatics for Images and Multi-dimensional Datasets
Presentation Title Understanding Degradation and Failure Mechanisms by Multiscale and Multiresolution Electron Microscopy
Author(s) Josh Kacher
On-Site Speaker (Planned) Josh Kacher
Abstract Scope Mechanical deformation and failure processes such as fatigue crack formation and ductile fracture are inherently multiscale processes, ranging from nanoscale crack nucleation mechanisms to collective dislocation interactions ranging across hundreds of microns. Understanding these processes requires multiscale characterization approaches that reflect the nature of the processes. Advances in electron detector technology, including the advent of direct-electron detectors, and increases in computational processing capacity have transformed electron microscopy-based characterization into a big-data analytics tool capable of multimodal image acquisition and high-resolution property mapping. This includes the ability map out the three-dimensional elastic strain tensor, crystal rotations, and dislocation density at length scales ranging from nanometers to hundreds of microns. In this talk, I will discuss the work my group is doing in applying advanced multiscale and multiresolution electron-microscopy based characterization techniques to understand mechanical deformation and corrosion mechanisms in metals and alloys.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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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