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NSR database version of April 27, 2024.

Search: Author = S.Vander Wiel

Found 3 matches.

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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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2021SE23      Nucl.Technology 207, s321 (2021)

H.D.Selby, S.K.Hanson, D.Meininger, W.J.Oldham, W.S.Kinman, J.L.Miller, S.D.Reilly, A.M.Wende, J.L.Berger, J.Inglis, A.D.Pollington, C.R.Waidmann, R.A.Meade, K.L.Buescher, J.R.Gattiker, S.A.Vander Wiel, P.W.Marcy

A New Yield Assessment for the Trinity Nuclear Test, 75 Years Later

doi: 10.1080/00295450.2021.1932176
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2020NE07      Nucl.Data Sheets 167, 36 (2020)

D.Neudecker, M.Grosskopf, M.Herman, W.Haeck, P.Grechanuk, S.Vander Wiel, M.E.Rising, A.C.Kahler, N.Sly, P.Talou

Enhancing nuclear data validation analysis by using machine learning

doi: 10.1016/j.nds.2020.07.002
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Note: The following list of authors and aliases matches the search parameter S.Vander Wiel: , S.A.VANDER WIEL