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Welcome to the Mesoscale Science Lab

The group is dedicated to research related to developing a physical understanding of processing-structure-property relationships of crystalline and amorphous materials. We focus on the development and implementation of novel mesoscale material quantification methods for correlating unique local microstructural features with particular mechanical and environmental responses in a variety of material systems. The goal is to develop experimental and analytical techniques to directly guide, inform, and validate physics-based computational models of material behavior.
 
 
Full-Field Strain map with surface microstructure, Superalloys 2012
 
 

NEWS

October 2016
MSL will be at MS&T in Salt Lake City, UT.
  • Amit Verma "Statistical Analysis of Heritage Data of 9Cr-steels, Using a Robust, Open-source, Data Analytics Design Approach." Symposium: Advanced High Strength Steel Design / Technological Exploitation 10/26, 2pm, Salt Palace Convention Center - 155F
  • Amit Verma "Data-analytics Approach for Studying Structure-property Relationships in Gradient Aluminum Composite." Symposium: Scaling-up from the Laboratory: Strategies, Examples, Challenges, and/or Solutions for Advanced Metal Manufacturing, 10/24, 2:40pm, Salt Palace Convention Center - 155C
 
Sept 2016
Nishan Senanayake begins Ph.D. work with MSL supporting the NSF CAREER program and will be collaborating with Alcoa forgings. We are excited that he has joined the group.
 
August 2016
Isaac Hoffman officially begins his MS program with the group. His work will continue the work by Aaron Thompson (BS, 16) on the use of micro-Laue diffraction for quantifying slip system activation in nickel-based superalloys.
 
May 2016
Rachel Morrison and Sven Voigt officially start the BS/MS programs with the MSL. Rachel's project is on conducting some foundational studies on the interactions between grain boundaries and coherent precipitates in nickel-based superalloys using Molecular Dynamic Simulations. Sven is working on understanding the correlations between processing variables and performance in additively manufactured polymer components for sheet metal fabrication.
 
Amit Verma Successfully defends his MS thesis entitled "Data Analytics Approach for Studying Structure-Property Relationships in Gradient Aluminum Composites". He will begin his Ph.D. studies immediately supporting the NETL program on Rapid Alloy Design.