Improvement of the Bayesian neural network to study the photoneutron yield cross sections
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41365-022-01131-w.pdf
Reference40 articles.
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3. R. Wang, Z. Zhang, L.W. Chen et al., Constraining the in-medium nucleon-nucleon cross section from the width of nuclear giant dipole resonance. Phys. Lett. B 807, 135532 (2020). https://doi.org/10.1016/j.physletb.2020.135532
4. X.C. Ming, H.F. Zhang, R.R. Xu et al., Nuclear mass based on the multi-task learning neural network method. Nucl. Sci. Tech. 33, 48 (2022). https://doi.org/10.1007/s41365-022-01031-z
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