14 citations · 15 across the 3 of their papers we have counts for
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nucl-th2024★ 1 cited
Bayesian Model Averaging (BMA) for nuclear data evaluation
E. Alhassan, D. Rochman, G. Schnabel +1
To ensure agreement between theoretical calculations and experimental data, parameters to selected nuclear physics models, are perturbed, and fine-tuned in nuclear data evaluations…
nucl-th2023
FENDL: A library for fusion research and applications
G. Schnabel, D. L. Aldama, T. Bohm +28
The Fusion Evaluated Nuclear Data Library (FENDL) is a comprehensive and validated collection of nuclear cross section data coordinated by the International Atomic Energy Agency (I…