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