Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions GB King, AE Lovell, L Neufcourt, FM Nunes
Physical review letters 122 (23), 232502, 2019
83 2019 Fission fragment decay simulations with the CGMF code P Talou, I Stetcu, P Jaffke, ME Rising, AE Lovell, T Kawano
Computer Physics Communications 269, 108087, 2021
56 2021 Measurement of the KJ Kelly, M Devlin, JM O'Donnell, JA Gomez, D Neudecker, RC Haight, ...
Physical Review C 102 (3), 034615, 2020
44 2020 Uncertainty quantification for optical model parameters AE Lovell, FM Nunes, J Sarich, SM Wild
Physical Review C 95 (2), 024611, 2017
41 2017 Constraining transfer cross sections using Bayes' theorem AE Lovell, FM Nunes
Physical Review C 97 (6), 064612, 2018
38 2018 Toward emulating nuclear reactions using eigenvector continuation C Drischler, M Quinonez, PG Giuliani, AE Lovell, FM Nunes
Physics Letters B 823, 136777, 2021
37 2021 Systematic uncertainties in direct reaction theories AE Lovell, FM Nunes
Journal of Physics G: nuclear and particle physics 42 (3), 034014, 2015
36 2015 Preequilibrium Asymmetries in the KJ Kelly, T Kawano, JM O’Donnell, JA Gomez, M Devlin, D Neudecker, ...
Physical Review Letters 122 (7), 072503, 2019
33 2019 Nuclear masses learned from a probabilistic neural network AE Lovell, AT Mohan, TM Sprouse, MR Mumpower
Physical Review C 106 (1), 014305, 2022
31 2022 Extension of the Hauser-Feshbach fission fragment decay model to multichance fission AE Lovell, T Kawano, S Okumura, I Stetcu, MR Mumpower, P Talou
Physical Review C 103 (1), 014615, 2021
31 2021 Quantifying uncertainties on fission fragment mass yields with mixture density networks AE Lovell, AT Mohan, P Talou
Journal of Physics G: Nuclear and Particle Physics 47 (11), 114001, 2020
29 2020 Recent advances in the quantification of uncertainties in reaction theory AE Lovell, FM Nunes, M Catacora-Rios, GB King
Journal of Physics G: Nuclear and Particle Physics 48 (1), 014001, 2020
27 2020 Physically interpretable machine learning for nuclear masses MR Mumpower, TM Sprouse, AE Lovell, AT Mohan
Physical Review C 106 (2), L021301, 2022
26 2022 Exploring experimental conditions to reduce uncertainties in the optical potential M Catacora-Rios, GB King, AE Lovell, FM Nunes
Physical Review C 100 (6), 064615, 2019
25 2019 Informing nuclear physics via machine learning methods with differential and integral experiments D Neudecker, O Cabellos, AR Clark, MJ Grosskopf, W Haeck, ...
Physical Review C 104 (3), 034611, 2021
24 2021 Energy dependence of nonlocal optical potentials AE Lovell, PL Bacq, P Capel, FM Nunes, LJ Titus
Physical Review C 96 (5), 051601, 2017
24 2017 Three-body model for the two-neutron emission of AE Lovell, FM Nunes, IJ Thompson
Physical Review C 95 (3), 034605, 2017
24 2017 Angular Momentum Removal by Neutron and I Stetcu, AE Lovell, P Talou, T Kawano, S Marin, SA Pozzi, A Bulgac
Physical Review Letters 127 (22), 222502, 2021
23 2021 Uncertainty quantification due to optical potentials in models for ( GB King, AE Lovell, FM Nunes
Physical Review C 98 (4), 044623, 2018
23 2018 Exploration of the energy dependence of proton nonlocal optical potentials MI Jaghoub, AE Lovell, FM Nunes
Physical Review C 98 (2), 024609, 2018
23 2018 