About this Abstract |
Meeting |
2nd World Congress on High Entropy Alloys (HEA 2021)
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Symposium
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2nd World Congress on High Entropy Alloys (HEA 2021)
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Presentation Title |
ON DEMAND: Computationally Guided High Entropy Alloy Discovery |
Author(s) |
Kenneth D. Smith, John A Sharon, Ryan Deacon, Soumalya Sarkar |
On-Site Speaker (Planned) |
Kenneth D. Smith |
Abstract Scope |
Combining multiple principal elements together in single solid solution forming High Entropy Alloys (HEA) opens the possibilities to billions of new alloy combinations. To date, HEAs have demonstrated enhanced properties that can rival or exceed conventional alloys. We have used a combined computational and experimental approach to quickly assess and identify new alloy compositions. The computational approach searches composition space using machine learning informed by different computational models to identify compositions that maximize performance for different objectives while satisfying constraints. We couple the computational framework with screening experiments to validate performance as well providing a route for additional selection criteria, such as oxidation resistance that are more difficult to include directly with analytical functions. In this talk, we will describe our machine learning based framework and the experimental characterization used to assist in identifying HEA candidates. |
Proceedings Inclusion? |
Undecided |