| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques
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| Presentation Title |
Challenges and Opportunities for Rapid EXAFS Analysis of Short-Range Order in HEAs
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| Author(s) |
Howard Joress, Elaf Anber, Emily Holcombe, Jonathan Hollenbach, Austin McDannald, Georgia Leigh, Jason Hattrick-Simpers, Bruce Ravel, Mitra Taheri, Brian DeCost |
| On-Site Speaker (Planned) |
Howard Joress |
| Abstract Scope |
It has become clear that short-range ordering (SRO) can have a large effect on a range of properties in high entropy alloys, including magnetic, corrosion resistance, and mechanical strength. Extended x-ray absorption fine structure (EXAFS) is a powerful tool for characterizing this disorder, however challenges exist in the speed of data collection and analysis of the data. We will describe our efforts in this area, particularly in the context of high-throughput EXAFS mapping and quantitative data analysis. To speed the acquisition of EXAFS data we demonstrate the use of on-the-fly unsupervised learning to select subsequent samples for measurement, optimizing the experimental budget to gain the greatest knowledge of SRO in a given sample space. We then demonstrate the use of modern statistical methods, including bayesian inference with physics based constraints, to quantify the short-range order. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Machine Learning, Characterization, High-Entropy Alloys |