model-based predictions for nuclear excitation functions of neutron-induced reactions on 64,66−68zn targets
Clicks: 171
ID: 245844
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
171 views
42 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #305 of 357 articles by views in Journal of hazardous materials
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 357 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this paper, nuclear data for cross sections of the 64Zn(n,2n)63Zn, 64Zn(n,3n)62Zn, 64Zn(n,p)64Cu, 66Zn(n,2n)65Zn, 66Zn(n,p)66Cu, 67Zn(n,p)67Cu, 68Zn(n,p)68Cu, and 68Zn(n,α)65Ni reactions were studied for neutron energies up to 40 MeV. In the nuclear model calculations, TALYS 1.6, ALICE/ASH, and EMPIRE 3.2 codes were used. Furthermore, the nuclear data for the (n,2n) and (n,p) reaction channels were also calculated using various cross-section systematics at energies around 14–15 MeV. The code calculations were analyzed and obtained using the different level densities in the exciton model and the geometry-dependent hybrid model. The results obtained from the excitation function calculations are discussed and compared with literature experimental data, ENDF/B-VII.1, and the TENDL-2015 evaluated data.
| Reference Key |
yiit2017nuclearmodel-based
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;M. Yiğit;A. Kara |
| Journal | Journal of hazardous materials |
| Year | 2017 |
| DOI |
10.1016/j.net.2017.03.006
|
| URL | |
| Keywords |
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.