| Author(s) |
Mitra L. Taheri, Sebastian Lech, Anna K. Rawlings, Elaf A. Anber, David Beaudry, Emily Holcombe, Howard Joress, Brian DeCost, Jason Hattrick Simpers, Tyrel McQueen, Ben Redemann, Loic Perriere, Jean-Philippe Couzinie, Debashish Sur, John R. Scully, Charlie Brandenburg, Elizabeth J. Opila, Michael J. Waters, James Rondinelli, Nathan Smith, Christopher M. Wolverton |
| Abstract Scope |
Refractory multiprincipal element alloys, or high entropy alloys, have been the subject of much interest for applications ranging from aerospace to biomedical parts owing in part to their promising mechanical integrity, thermal stability, and tunable oxidation response. Due to the large volume of possible principal elements and corresponding passivating components for surface corrosion resistance, it is nearly impossible to realize optimal alloys for all applications. This talk reviews opportunities, pitfalls, and success stories for rapid design, processing, and downselection of refractory high entropy alloys. We will show the possibility of microstructure and order-aware fingerprints embedded in machine learning-enabled experimental workflows, yielding a new paradigm for these “hard to access” alloys. Finally, a foundation for scale up of such alloys is revealed. |