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Meeting Materials Science & Technology 2020
Symposium Advanced Characterization of Materials for Nuclear, Radiation, and Extreme Environments
Organizer(s) Samuel A. Briggs, Oregon State University
Christopher Barr, Sandia National Laboratories
Emily Aradi, University of Huddersfield
Michael Short, Massachusetts Institute of Technology
Janelle Wharry, Purdue University
Cheng Sun, Idaho National Laboratory
Dong Liu, University of Oxford
Khalid Hattar, Sandia National Laboratories
Scope In the last decade a wealth of new analytical and in-situ experimental tools has emerged, increasing the speed and fidelity with which microstructural evolution can be characterized. This symposium solicits presentations that apply any of these advanced techniques to the study of materials structure, properties, and performance in radiation and other extreme environments, e.g. nuclear energy and space applications. These technique advancements have occurred in areas including microstructural characterization, thermophysical property measurement, in situ measurements, and small-scale mechanical property testing. There is a specific interest in techniques that directly impact materials research for environments exhibiting high radiation fields, extreme temperatures, and corrosive or chemically-reactive environments. The unique data provided by these advanced characterization tools also provide a new bridge to enhance the framing, refining, and validation of predictive models.

Specific topics include, but are not limited to:
-Novel (destructive and non-destructive) techniques for characterization radiation damage
-Non-contact thermal and elastic measurement techniques
-Mechanical behavior – emphasis on small scale testing (SEM or TEM length scales)
-Direct observation of radiation-induced microstructural transformations in real time
-Methods for monitoring corrosive attack in non-aqueous coolant environments
-Studies of synergistic effects of these superimposed extreme environments relating to materials degradation
-Work enabling enhanced coupling of experimental results with predictive modeling and simulation
Abstracts Due 03/15/2020
Proceedings Plan Planned: Publication outside of MS&T
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