| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Mechanical Response of Materials Investigated Through Novel In-Situ Experiments and Modeling
|
| Presentation Title |
Emerging Capabilities for the High-throughput Characterization of Structural Materials |
| Author(s) |
Daniel B. Miracle, Mu Li, Zhaohan Zhang, Rohan Mishra, Katharine Flores |
| On-Site Speaker (Planned) |
Daniel B. Miracle |
| Abstract Scope |
The rate at which societies advance is linked to the rate of materials advances. Characterizing materials properties remains a major barrier in the rapid development of new, society-changing materials. Combinatorial and high-throughput (CHT) methods to characterize new materials have played a central role in accelerating materials advances in the past decades. These methods are widely used in the chemistry, biology and pharmaceutical fields, and more recently for functional materials. CHT methods have barely been used to develop new structural materials due to major challenges offered by the dominant influence of microstructure and length scale on mechanical properties. High-throughput computations can augment or replace experiments and accelerate data analysis, but a major barrier remains in deploying rapid and reliable experiments for mechanical properties. This presentation will discuss an emerging convergence in computational, experimental and data analytic methods that offer enabling new capabilities to accelerate discovery and development of structural materials. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Mechanical Properties, Other |