| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Solid-State Transformations Under Complex Thermal Conditions
|
| Presentation Title |
Predicting Emergence of Nanoscale Order in Surfaces Oxides Through Preferential Interactivity Parameter |
| Author(s) |
Andrew Martin, Martin Thuo |
| On-Site Speaker (Planned) |
Andrew Martin |
| Abstract Scope |
Diffusion and surface oxidation are critical, and necessary processes in metal alloy designs and use. Surface oxide provides unique opportunities to improve material properties or performance beyond bulk alterations. Surface oxidation is, however, often oversimplified into a classical diffusion process. Passivating oxide surfaces are also thought to be lacking in complexity or critical information. A closer look, however, shows inherent complexity with kinetics-driven competition between the elements in the process leading to redox-speciation across a very small (nm) thickness. Questions that remain to be answered for a comprehensive understanding of surface oxides are diverse and call for interdisciplinary approaches. By using thermodynamics-based Preferential Interactivity Parameter (PIP) alongside kinetic consideration, we show how complexity in these oxides can be predicted under different compositional, phase and thermal conditions allowing us to tailor these thin films. |