| About this Abstract |
| Meeting |
3rd World Congress on High Entropy Alloys (HEA 2023)
|
| Symposium
|
HEA 2023
|
| Presentation Title |
BIRDSHOT: An Accelerated Program for the Discovery and Optimization of Refractory High Entropy Alloys |
| Author(s) |
Raymundo Arroyave, Brent Vela, Danial Khatamsaz, William Trehern, Ibrahim Karaman, Weiwei Zhang, Douglas Allaire, Paul Mason, Duane D. Johnson, Prashant Singh, Axel van de Walle, Miladin Radovic, Ankit Srivastava |
| On-Site Speaker (Planned) |
Raymundo Arroyave |
| Abstract Scope |
The Refractory High Entropy Alloy (RHEA) space is vast and it is impossible to explore using conventional approaches to materials discovery. In this talk, we present the Batch-wise Improvement in Reduced Design Space using a Holistic Optimization Technique (BIRDSHOT) framework. BIRDSHOT incorporates the strengths of ICME and combinatorial methods, while addressing all their drawbacks, as it: (i) employs novel machine learning (ML) and data-driven search algorithms to identify efficiently the feasible regions amenable to optimization; (ii) exploits correlations to fuse simulations and experiments to obtain efficient ML models for predicting PSPP relations; (iii) uses Bayesian Optimization (BO) to make globally optimal iterative decisions regarding which region in the RHEA space to explore/exploit, leveraging existing models and data; (iv) is capable of carrying out multiple optimal parallel queries to the design space. We show how we have been using BIRDSHOT to search for next generation refractory alloys for turbine engine applications. |
| Proceedings Inclusion? |
Planned: Metallurgical and Materials Transactions |