Materials informatics for the screening of multi-principal elements and high-entropy alloys
oleh: J. M. Rickman, H. M. Chan, M. P. Harmer, J. A. Smeltzer, C. J. Marvel, A. Roy, G. Balasubramanian
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2019-06-01 |
Deskripsi
The identification of high entropy alloys is challenging given the vastness of the compositional space associated with these systems. Here the authors propose a supervised learning strategy for the efficient screening of high entropy alloys, whose hardness predictions are validated by experiments.