| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Expanding the Boundaries of Materials Science: Unconventional Collaborations
|
| Presentation Title |
Machine Learning for Materials Design and Discovery |
| Author(s) |
Bryce Meredig |
| On-Site Speaker (Planned) |
Bryce Meredig |
| Abstract Scope |
The rise of machine learning (ML) in materials science has led to interdisciplinary research drawing from the materials, computer science, and statistics fields. In this talk, we will describe ways in which materials design is a unique application area for ML, and also ways in which research threads from computer science and statistics are enriching materials informatics. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |