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NSR database version of April 27, 2024.

Search: Author = X.B.Wei

Found 3 matches.

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2023MA48      Phys.Rev. C 108, 044606 (2023)

C.-W.Ma, X.-X.Chen, X.-B.Wei, D.Peng, H.-L.Wei, Y.-T.Wang, J.Pu, K.-X.Cheng, Y.-F.Guo, C.-Y.Qiao

Systematic behavior of fragments in Bayesian neural network models for projectile fragmentation reactions

doi: 10.1103/PhysRevC.108.044606
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2022MA39      Chin.Phys.C 46, 074104 (2022)

C.-W.Ma, X.-B.Wei, X.-X.Chen, D.Peng, Y.-T.Wang, J.Pu, K.-X.Cheng, Y.-F.Guo, H.-L.Wei

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks

doi: 10.1088/1674-1137/ac5efb
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2022PE09      J.Phys.(London) G49, 085102 (2022)

D.Peng, H.-L.Wei, X.-X.Chen, X.-B.Wei, Y.-T.Wang, J.Pu, K.-X.Cheng, C.-W.Ma

Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions

NUCLEAR REACTIONS ¹H(³⁶Ar, X), (⁴⁰Ar, X), (⁴⁰Ca, X), (⁵⁶Fe, X), (⁹³Nb, X), (⁹³Zr, X), (¹⁰⁷Pd, X), (⁹⁰Sr, X), (¹³⁶Xe, X), (¹³⁷Cs, X), (¹³⁸Ba, X), (¹⁹⁷Au, X), E<2.6 GeV/nucleon; analyzed available data; deduced accurate and complete energy-dependent residual σ using a simplified EPAX formula (sEPAX), the Bayesian neural network (BNN) technique.

doi: 10.1088/1361-6471/ac7069
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