|About this Abstract
||3rd World Congress on High Entropy Alloys (HEA 2023)
||Towards More Robust EXAFS Analysis for Quantifying Short Range Order in Multicomponent Alloys
||Brian DeCost, Bruce Ravel, Tyrel McQueen, Mitra Taheri, Howie Joress
|On-Site Speaker (Planned)
Recent research has found that chemical short range order in high entropy alloys (HEAs) can play an important role on properties such as mechanical strength and corrosion resistance. EXAFS is a promising measurement technique for quantifying this aspect of local alloy structure and chemistry; however, the complexity of the models required for realistic analysis of multicomponent HEA systems poses a substantial barrier to obtaining meaningful insight. We present a principled Bayesian data analysis approach to EXAFS analysis to improve its reliability. We also show a novel approach to incorporate physical constraints into EXAFS models, with a focusing on the relationships between the short range order parameters for the different species in solid solutions. Our long term goal is automated online analysis that can drive adaptive measurement selection with the aim of enabling comprehensive understanding of the relationship between composition and short range order.
||Planned: Metallurgical and Materials Transactions