| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing: Artificial Intelligence and Data Driven Approaches
|
| Presentation Title |
AI-Powered Prediction of the Flash Onset in Oxides |
| Author(s) |
Rishi Raj, Roger French, Pawan Tripathi |
| On-Site Speaker (Planned) |
Rishi Raj |
| Abstract Scope |
The Flash-Eco-System (FES) is emerging as a new and unexpected sub-field in materials science and engineering. It has three common features: colossal rates of solid-state diffusion, transition to highly conductive states that are electronic, and plasma-like behavior which responds to magnetic fields. It is emerging as a fertile ground for application of Artificial Intelligence to Materials Physics. This short presentation will describe how AI can be employed to predict the onset of flash in oxides in terms of three state variables: applied electric field, furnace temperature, and constitutional compositions. |