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NSR database version of April 27, 2024.

Search: Author = A.R.Clark

Found 2 matches.

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2021NE02      Ann.Nucl.Energy 159, 108345(2021)

D.Neudecker, O.Cabellos, A.R.Clark, W.Haeck, R.Capote, A.Trkov, M.C.White, M.E.Rising

Which nuclear data can be validated with LLNL pulsed-sphere experiments?

doi: 10.1016/j.anucene.2021.108345
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2021NE06      Phys.Rev. C 104, 034611 (2021)

D.Neudecker, O.Cabellos, A.R.Clark, M.J.Grosskopf, W.Haeck, M.W.Herman, J.Hutchinson, T.Kawano, A.E.Lovell, I.Stetcu, P.Talou, S.Vander Wiel

Informing nuclear physics via machine learning methods with differential and integral experiments

NUCLEAR REACTIONS 238U(n, n'), E=14 MeV; analyzed pulsed-sphere neutron-leakage experimental spectrum obtained at LLNL facility, and compared with evaluated data in ENDF/B-VIII.0. 241Pu(n, F), E=0.1-1.0, 14 MeV; analyzed differential and integral experimental data for fission σ(E) by combining experimental σ data, nuclear-physics theory and neutron-transport simulations of the experiments using machine learning (ML) random forest algorithm and expert judgment. Relevance to improvement of description of nuclear-physics observables in particular application areas.

doi: 10.1103/PhysRevC.104.034611
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