| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
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Understanding High Entropy Materials via Data Science and Computational Approaches
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| Presentation Title |
Electronic-Structure-Guided Tailoring of Refractory High-Entropy Alloys for Extreme Environment |
| Author(s) |
Nicolas Argibay, Hailong Huang, Rameshwari Naorem, Zongyang Lyu, Ryan Ott, Prashant Singh, Duane Johnson |
| On-Site Speaker (Planned) |
Nicolas Argibay |
| Abstract Scope |
New structural alloys are needed to enable more efficient power generation and conversion, including higher temperature tolerance in gas turbine generators and in nuclear fusion plasma containment. This presentation will review a recently validated general predictive model – with no fitting parameters – for the peak strength of metals, including high-entropy alloys, and explore ongoing work linking interstitial charge density, chemical ordering, and ductility in refractory BCC concentrated alloys. We will also present examples of how these computationally inexpensive methods are being used, coupled with high-throughput synthesis and experimental testing methods, to validate model predictions and support alloy design. |