About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
|
High Entropy Alloys VIII
|
Presentation Title |
Data-driven Design of High-entropy Alloys |
Author(s) |
Houlong Zhuang, Wenjiang Huang, Duo Wang |
On-Site Speaker (Planned) |
Houlong Zhuang |
Abstract Scope |
Applying data-driven approaches to a variety of problems has progressively become one of the frontier research areas in the field of materials science and engineering. One main objective of these methods is to accelerate the discovery of new materials through cooperative applications of data, algorithms, and fundamentals of materials theory. High-entropy alloys (HEAs) represent an important category of metal alloys that have received intense attention over the past decade. In this talk, we will present the weaknesses and strengths of major computational approaches to design, discover, and characterize HEAs. We then focus on a data-driven approach by introducing the cross-industry process for data mining (CRISP-DM) method, which is a standard technique commonly used in the data science
industry. We will use examples to show how each step of this method is involved in the context of designing HEAs. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume; Planned: Supplemental Proceedings volume |