Bayesian neural network predictions of mass distributions for neutron-induced 232Th fission compared with GEF data at different energies. (IMAGE)

Nuclear Science and Techniques

Bayesian neural network predictions of mass distributions for neutron-induced 232Th fission compared with GEF data at different energies.

Caption

The BNN2 model effectively eliminates unphysical negative yields and demonstrates markedly superior agreement with GEF reference data across multiple mass regions compared to unconstrained models.

Credit

Chunwang Ma

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License

CC BY-NC

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