Reprint of “Nuclear thermal-hydraulics applications illustrating the key roles of adjoint-computed sensitivities for overcoming the curse of dimensionality in sensitivity analysis, uncertainty quantification and predictive modeling”
Clicks: 256
ID: 54748
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Popular Article
65.9
/100
254 views
206 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Abstract is not available for this article.
Login to Search Abstract
| Reference Key |
cacuci2019reprintnuclear
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Cacuci, D. |
| Journal | nuclear engineering and design |
| Year | 2019 |
| DOI |
10.1016/j.nucengdes.2019.110294
|
| 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.