Automated Author ProfileYubing, Li
Guangxi Normal University中国科学院近代物理研究所
Yubing, Li
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
75As(n,γ)76As reaction play a critical role in both the main and weak s-processes of stellar nucleosynthesis. We report a high-precision measurement of the 75As(n,γ)76As neutron capture cross sections from 1eV to 1MeV, performed at the Back-n facility of the China Spallation Neutron Source using the Time-of-Flight method. In the resolved resonance region, seventeen previously unreported resonances were identified, and discrepancies with evaluated nuclear data libraries, particularly at 493 eV and 2368 eV, were clarified. Resonance parameters for the newly observed structures were extracted with the R-matrix code SAMMY. Maxwellian-averaged cross sections were calculated based on the averaged cross sections in the unresolved resonance region. And the reaction rates for 75As(n,γ)76As reaction were derived over the astrophysically relevant temperature range of the s-process nucleosynthesis model. The present reaction rates deviate significantly from previous theoretical predictions, and the uncertainties are significantly reduced. These results provide accurate experimental benchmarks for nuclear data evaluations and enable more reliable nucleosynthesis modeling of arsenic in stellar environments.
Authors
- Yubing, Li ;
- Zhendong, An