Modelling and prediction of hardness in multi-component alloys: A combined machine learning, first principles and experimental study
Clicks: 139
ID: 171456
2021
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
30.0
/100
138 views
21 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Abstract is not available for this article.
Login to Search Abstract
| Reference Key |
qiao2021modellingjournal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Qiao, L. |
| Journal | journal of alloys and compounds |
| Year | 2021 |
| DOI |
10.1016/j.jallcom.2020.156959
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.