Location: BRICC, Arlington VA, June 22-23, 2015
| Presentation Title | Presentation Download Link |
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Managing the Mosaic of Microstructure: Overview Marc DeGraef |
DeGraef-Overview.pdf |
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4D Tomography of Time Evolving Samples Peter Voorhees |
Voorhees.pdf |
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Time-Interlaced Model-Based Iterative Reconstructions and Beyond for Solidification in Al-Cu Alloys Charles Bouman |
Bouman-TIMBIR.pdf |
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Exploiting Sparsity for Materials Imaging: Advanced Priors and Dynamic Sampling Charles Bouman |
Bouman-dynamicsampling.pdf |
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Forward Modeling for Microstructure Quantification Marc DeGraef |
DeGraef-Research.pdf |
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A Perspective on 3D Microstructure Quantification via Automated Characterization Systems Michael Uchic |
|
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Design of Transforming Materials with Exceptional Reversibility Richard James |
James.pdf |
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Compact Representation of Micromechanical Fields Kaushik Bhattacharya |
Bhattacharya.pdf |
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Markov Random Field Representation of Microstructures and its Applications Veera Sundararaghavan, Surya Kalidindi |
Veera.pdf |
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Applications of New Stochastic Image Models to Materials Engineering Mary Comer |
Comer.pdf |
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Multiscale Materials Design using Informatics Surya Kalidindi, Ankit Agrawal, |
Overview-MURI-Informatics.pdf |
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Computational Sensing: Data, Physics, and Uncertainty Eric Miller |
|
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Statistical Quantification of Al-Cu Solidification Datasets using 2-point Spatial Correlations Surya Kalidindi, Peter Voorhees |
Voorhees-Kalidindi.pdf |
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Data-driven Optimization of Microstructures in a Magnetoelastic Alloy Veera Sundararaghavan, Ankit Agrawal |
AgrawalSunderaraghavan.pdf |
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Application of Machine Learning to Materials Discovery and Development Ankit Agrawal, Alok Choudhary |
AgrawalChoudhary.pdf |
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Mining of Process-Structure-Property Linkages Using Data Science Tools Surya Kalidindi, Ankit Agrawal |
Kalidindi-Agrawal.pdf |
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From Atom Probe Tomography Imaging to Microstructural Quantification Emmanuelle Marquis |
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Collection and Analysis of Statistically Large 3D Datasets David Rowenhorst |
