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Jun 19

June 2015 MURI Program Review

Location: BRICC, Arlington VA, June 22-23, 2015

Presentation Title Presentation Download Link
Managing the Mosaic of Microstructure: Overview

Marc DeGraef
DeGraef-Overview.pdf
4D Tomography of Time Evolving Samples

Peter Voorhees
Voorhees.pdf
Time-Interlaced Model-Based Iterative Reconstructions and Beyond for Solidification in Al-Cu Alloys

Charles Bouman
Bouman-TIMBIR.pdf
Exploiting Sparsity for Materials Imaging: Advanced Priors and Dynamic Sampling

Charles Bouman
Bouman-dynamicsampling.pdf
Forward Modeling for Microstructure Quantification

Marc DeGraef
DeGraef-Research.pdf
A Perspective on 3D Microstructure Quantification via Automated Characterization Systems

Michael Uchic
Design of Transforming Materials with Exceptional Reversibility

Richard James
James.pdf
Compact Representation of Micromechanical Fields

Kaushik Bhattacharya
Bhattacharya.pdf
Markov Random Field Representation of Microstructures and its Applications

Veera Sundararaghavan, Surya Kalidindi
Veera.pdf
Applications of New Stochastic Image Models to Materials Engineering

Mary Comer
Comer.pdf
Multiscale Materials Design using Informatics

Surya Kalidindi, Ankit Agrawal, Alok Choudhary, Veera Sundararaghavan
Overview-MURI-Informatics.pdf
Computational Sensing: Data, Physics, and Uncertainty

Eric Miller
Statistical Quantification of Al-Cu Solidification Datasets using 2-point Spatial Correlations

Surya Kalidindi, Peter Voorhees
Voorhees-Kalidindi.pdf
Data-driven Optimization of Microstructures in a Magnetoelastic Alloy

Veera Sundararaghavan, Ankit Agrawal
AgrawalSunderaraghavan.pdf
Application of Machine Learning to Materials Discovery and Development

Ankit Agrawal, Alok Choudhary
AgrawalChoudhary.pdf
Mining of Process-Structure-Property Linkages Using Data Science Tools

Surya Kalidindi, Ankit Agrawal
Kalidindi-Agrawal.pdf
From Atom Probe Tomography Imaging to Microstructural Quantification

Emmanuelle Marquis
Collection and Analysis of Statistically Large 3D Datasets

David Rowenhorst