Machine learning-assisted determination of material chemical compositions: a study case on Ni-base superalloy
The determination of chemical compositions of materials plays a paramount role in materials design and discovery. Optimization of such compositions can be a very expensive trial-and-error task, specially when the desired properties are very sensitive to the composition variations. As the number of e...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | Science and Technology of Advanced Materials: Methods |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27660400.2023.2278321 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|