### Amy Lovell

**Program Years:**2015-2018**Academic Institution:**Michigan State University**Field of Study:**Theoretical Nuclear Physics**Academic Advisor:**Filomena Nunes**Practicum(s):**

Los Alamos National Laboratory (2017)**Degree(s):**

B.S. Mathematical Sciences, and B.S. Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, 2013

M.S. Physics, Michigan State University, 2015

PhD Physics, Michigan State University, 2018

#### Current Status

**Status:**Staff Scientist at Los Alamos National Lab**Research Area:**Theoretical Nuclear Physics

#### Publications

Systematic uncertainties in direct reaction theory, A E Lovell and F M Nunes, J. Phys. G: Nucl. Part. Phys., 42 034014 (2015)Three-body model for the two-neutron decay of 16Be, A E Lovell, F M Nunes, and I J Thompson, Phys. Rev. C 95, 034605 (2017)

Constraining Transfer Cross Sections Using Bayes' Theorem, A E Lovell and F M Nunes, Phys. Rev. C 97, 064612 (2018)

Extracting hydrocarbon from shale: An investigation of the factors that influence the decline or tail of the production curve, A E Lovell, S Srinivasan, S Karra, D O'Malley, N Makedonska, H S Viswanathan, G Srinivasan, J W Carey, and L P Frash, Water Resources Research 54, 3748

Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions, G B King, A E Lovell, L Neufcourt, F M Nunes, Phys. Rev. Lett. 122, 232501 (2019)

Prompt neutron distributions inferred from prompt gamma-ray measurements, A E Lovell, I Stetcu, P Talou, G Rusev, Phys. Rev. C. 100, 054610 (2019)

Anisotropies in neutron-induced fission, A E Lovell, P Talou, I Stetcu, K J Kelly, Phys. Rev. C, 102, 024621 (2020)

Quantifying uncertainties on fission fragment mass yields with mixture density networks, A E Lovell, A T Mohan, P Talou, J. Phys. G, Nucl. Part. Phys., 47, 114001 (2020)

Extension of the Hauser-Feshbach fission fragment decay model to mulitchance fission, A E Lovell, T Kawano, S Okumura, I Stetcu, M R Mumpower, and P Talou, Phys. Rev. C 103, 104615 (2021)

Statistical tools for a better optical model , M Catacora-Rios, G B King, A E Lovell, F M Nunes, Phys. Rev. C 104, 065611 (2021)

Toward emulating nuclear reactions using eigenvector continuation, C Drischler, M Quinonez, P G Giuliani, A E Lovell, and F M Nunes, Phys. Lett. B 823, 136777 (2021)

Angular momentum removal by neutron and gamma-ray emissions during fission fragment decays, I Stetcu, A E Lovell, P Talou, T Kawano, S Marin, S A Pozzi, and A Bulgac, Phys. Rev. Lett. 127, 222502 (2021)

Nuclear masses learned from a probabilistic neural network, A E Lovell, A T Mohan, T M Sprouse, and M R Mumpower, Editors' suggestion, Phys. Rev. C 106, 014305 (2022)

#### Awards

Rensselaer Presidential Scholars' ProgramRensselaer Founders Award of Excellence

Sigma Pi Sigma

G. Howard Carragan Award for Outstanding Scholarship

MSU University Distinguished Fellowship

NSCL Graduate Fellowship

FRIB Achievement Award for Early Career Researchers (Theory, 2022)

LANL LAAP Award