April 22 - 26, 2024
Seattle, Washington
May 7 - 9, 2024 (Virtual)

Event Supporters

2024 MRS Spring Meeting
SF01.07.03

Data-Driven Design of High-Entropy Ceramics for Extreme Environments

When and Where

Apr 24, 2024
2:15pm - 2:30pm
Terrace Suite 1, Level 4, Summit

Presenter(s)

Co-Author(s)

Md Islam1,Scott Broderick1

University at Buffalo1

Abstract

Md Islam1,Scott Broderick1

University at Buffalo1
High-entropy ceramics present a promising material class but represent a design challenge due to the massive compositional design space. Through the use of machine learning approaches, design rules linking compositions, for example of CeO<sub>2</sub>, Y<sub>2</sub>O<sub>3</sub>, and Eu<sub>2</sub>O<sub>3</sub> components, with mechanical properties for accelerated selection of compositional refinement. These machine learning techniques identify optimal compositions and reveal underlying relationships by capturing the intricate multidimensional relationships between composition, processing conditions, microstructure, and mechanical performance. Our findings present a set of promising compositions that exhibit enhanced mechanical properties, ideal for extreme environment applications, such as hypersonic applications.

Keywords

ceramic

Symposium Organizers

Ben Breitung, Karlsruhe Institute of Technology
Alannah Hallas, The University of British Columbia
Scott McCormack, University of California, Davis
T. Zac Ward, Oak Ridge National Laboratory

Session Chairs

Scott McCormack
Simon Schweidler

In this Session