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Meeting Materials Science & Technology 2019
Symposium Data Science for Material Property Interpretation
Presentation Title Multi-modal Data Fusion and 3D Reconstruction of Serial Sectioning Data
Author(s) Megna Shah, Sean Donegan, Michael Uchic
On-Site Speaker (Planned) Megna Shah
Abstract Scope A more complete representation of microstructure often requires more than one sensor/modality. A challenge is to register all the modalities together and fuse the important signals from each into one representation. The workflows are further complicated when representing the microstructure in 3D. Here we describe data registration and fusion of 3D serial-sectioning data collected at AFRL. Optical images, BSE images and EBSD maps were collected on each section. Optical images were key for stack registration, BSE images provided the clearest representation of pores and precipitates, and EBSD maps offered crystallography. A non-linear distortion correction was applied to the BSE and EBSD data to register the three modalities. Finally, this data also was characterized by HEDM, and additional transformations were required to bring it into the correct reference frame for registration. The workflow to determine and apply all of the transformations, and reconstruct the data using DREAM.3D will be discussed.
Proceedings Inclusion? Definite: At-meeting proceedings

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A Machine Learning Approach to Independent Component Analysis for Nuclear Magnetic Resonance Spectra
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Model-based Reconstruction Algorithms for Time-of-Flight Neutron Tomography
Modeling and Simulation of Rare Events in Multidimensional Spaces
Multi-modal Data Fusion and 3D Reconstruction of Serial Sectioning Data
Neural Networks for Processing of Low Signal-to-noise Data in Scanning Probe Microscopy
P2-8: Evaluation for the Quality of Flake Graphite Cast Iron and Spheroidal Graphite Cast Iron by Tapping Test with Using Artificial Intelligence
Phase Field Regularization for Optimal Grain Reconstruction of Noisy Images
Python For Glass Genomics (PyGGi): A Machine Learning Package to Predict the Properties of Glasses
Recent Advances in 3D Reconstruction Based on Spherical Indexing of EBSD Data
Structure Prediction and Property-based Optimization of Molecular Crystals with GAtor
Workflows for Curation and Analysis of Microstructure-Aware Materials Data: Application to Aging of U-Nb Alloys

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