Fingerprint
Dive into the research topics of 'Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning
Shengping Si, Bojian Fan, Xingwei Liu*, Tian Zhou, Chuan He, Dandan Song, Jinxu Liu
*Corresponding author for this work
Research output: Contribution to journal › Article › peer-review
20
Citations
(Scopus)