Nuclear mass excesses calibrated by Bayesian ridge regression for predicting optimal incident energies for the synthesis of superheavy elements

Ming-Hao Zhang, Lu Guo, Feng-Shou Zhang

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DOI: 10.1103/thwl-472l
Published: 2026-09-21
Container: Physical Review C
Publisher: American Physical Society (APS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1103/thwl-472l,
  title = {Nuclear mass excesses calibrated by Bayesian ridge regression for predicting optimal incident energies for the synthesis of superheavy elements},
  author = {Ming-Hao Zhang and Lu Guo and Feng-Shou Zhang},
  year = {2026},
  journal = {Physical Review C},
  doi = {10.1103/thwl-472l},
  url = {https://doi.org/10.1103/thwl-472l}
}

RIS

TY  - JOUR
TI  - Nuclear mass excesses calibrated by Bayesian ridge regression for predicting optimal incident energies for the synthesis of superheavy elements
AU  - Ming-Hao Zhang
AU  - Lu Guo
AU  - Feng-Shou Zhang
PY  - 2026
JO  - Physical Review C
DO  - 10.1103/thwl-472l
UR  - https://doi.org/10.1103/thwl-472l
ER  -

APA

Zhang, M., Guo, L., & Zhang, F. (2026). Nuclear mass excesses calibrated by Bayesian ridge regression for predicting optimal incident energies for the synthesis of superheavy elements. Physical Review C. https://doi.org/10.1103/thwl-472l

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crossref · retrieved 2026-11-09T07:40:16.086Z