| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Hume-Rothery Symposium on Alloy Microstructure Science and Engineering
|
| Presentation Title |
High-Throughput Experiments for Computational Thermodynamics and Kinetics |
| Author(s) |
Ji-Cheng Zhao |
| On-Site Speaker (Planned) |
Ji-Cheng Zhao |
| Abstract Scope |
Experimental techniques for rapid collections of materials data and holistic approaches to integrate experimental and computational data will be described with examples. Localized property measurements on composition gradients created in diffusion multiples allow high-throughput collection of several materials properties as a function of composition, in addition to phase diagrams and diffusion coefficients. An approach will be explained to establish reliable diffusion coefficient (atomic mobility) databases by holistically integrating both experimental and computational data. An approach that iteratively and holistically integrate experimental results with model predictions is very effective in both establishing materials databases and accelerating alloy design. Additive manufacturing (AM, 3D printing) and other new approaches also provide great opportunities to further expand high-throughput experimentation and accelerated materials discovery. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
ICME, Computational Materials Science & Engineering, Phase Transformations |