About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Progress in High Entropy Materials: Integrating Experiments, Computation, and Machine Learning
|
| Presentation Title |
Toward Predictive Design of High Entropy Spinels Through Local Structure |
| Author(s) |
Christina M. Rost |
| On-Site Speaker (Planned) |
Christina M. Rost |
| Abstract Scope |
High entropy oxides provide access to an expansive compositional design space in which phase stability and functional behavior are governed by competing enthalpic and entropic contributions. In spinels, cation inversion between tetrahedral and octahedral sites plays a central role in determining functional properties; however, in high entropy spinel oxides (HESOs), inversion is not well described by a single parameter and instead reflects a distribution of local coordination environments not captured by average crystallography. This talk presents an experimental approach to probe local coordination and bond distances in HESOs using X-ray spectroscopy, supported by complementary structural and magnetic measurements. Increasing compositional complexity broadens the range of accessible local environments, with elements such as Zn exhibiting persistent site preference while others display composition-dependent behavior. These findings establish cation inversion in HESOs as a distributional property governed by local chemistry and provide a direct experimental link between local structural environments and magnetic response. |
