| Bayesian approach to model-based extrapolation of nuclear observables L Neufcourt, Y Cao, W Nazarewicz, F Viens Physical Review C 98, 034318, 2018 | 199 | 2018 |
| Neutron drip line in the Ca region from Bayesian model averaging L Neufcourt, Y Cao, W Nazarewicz, E Olsen, F Viens Physical Review Letters 122 (6), 062502, 2019 | 161 | 2019 |
| Quantified limits of the nuclear landscape L Neufcourt, Y Cao, SA Giuliani, W Nazarewicz, E Olsen, OB Tarasov Physical Review C 101 (3), 044307, 2020 | 101 | 2020 |
| 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 | 92 | 2019 |
| Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei L Neufcourt, Y Cao, S Giuliani, W Nazarewicz, E Olsen, OB Tarasov Physical Review C 101 (1), 014319, 2020 | 57 | 2020 |
| Statistical aspects of nuclear mass models V Kejzlar, L Neufcourt, W Nazarewicz, PG Reinhard Journal of Physics G, 2020 | 51 | 2020 |
| Generalized arbitrage-free SVI volatility surfaces G Guo, A Jacquier, C Martini, L Neufcourt SIAM Journal on Financial Mathematics 7 (1), 619-641, 2016 | 40 | 2016 |
| Nurse-reported bullying and documented adverse patient events: an exploratory study in a US hospital JE Arnetz, L Neufcourt, S Sudan, BB Arnetz, T Maiti, F Viens Journal of nursing care quality 35 (3), 206-212, 2020 | 38 | 2020 |
| Precision mass measurement of lightweight self-conjugate nucleus 80Zr A Hamaker, E Leistenschneider, R Jain, G Bollen, SA Giuliani, K Lund, ... Nature Physics 17 (12), 1408-1412, 2021 | 30 | 2021 |
| A third-moment theorem and precise asymptotics for variations of stationary Gaussian sequences L Neufcourt, F Viens ALEA, Latin American Journal of Probability and Mathematical Statistics 13 …, 2016 | 15 | 2016 |
| Local Bayesian Dirichlet mixing of imperfect models V Kejzlar, L Neufcourt, W Nazarewicz Scientific Reports 13 (1), 19600, 2023 | 10 | 2023 |
| Reconstruction of Storage Ring's Linear Optics with Bayesian Inference Y Hao, Y Li, M Balcewicz, L Neufcourt, W Cheng arXiv preprint arXiv:1902.11157, 2019 | 10 | 2019 |
| Neural network emulation of spontaneous fission D Lay, E Flynn, SA Giuliani, W Nazarewicz, L Neufcourt Physical Review C 109 (4), 044305, 2024 | 7 | 2024 |
| Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective V Kejzlar, L Neufcourt, T Maiti, F Viens arXiv preprint arXiv:1904.04793, 2019 | 6 | 2019 |
| Expansion of a Filtration with a Stochastic Process A High-Frequency Trading Perspective L Neufcourt Columbia University, 2017 | 6 | 2017 |
| Expansion of a filtration with a stochastic process: The information drift L Neufcourt, P Protter Numerical Algebra, Control and Optimization 13 (3&4), 714-742, 2023 | 4* | 2023 |
| Mass of self-conjugate nucleus 80Zr reveals a deformed double shell closure at N=Z=40 A Hamaker, E Leistenschneider, R Jain, G Bollen, SA Giuliani, K Lund, ... APS Division of Nuclear Physics Meeting Abstracts 2021, LG. 002, 2021 | | 2021 |
| Quantified Nuclear Mass Model for Nuclear Astrophysics Simulations R Jain, L Neufcourt, W Nazarewicz, S Giuliani APS Division of Nuclear Physics Meeting Abstracts 2021, KD. 003, 2021 | | 2021 |
| Nuclear Fission with Neural Networks D Lay, E Flynn, S Giuliani, L Neufcourt, W Nazarewicz APS April Meeting Abstracts 2021, K13. 001, 2021 | | 2021 |
| Application of Bayesian Inference in Accelerator Commissioning of FRIB Y Hao, L Neufcourt 10th International Particle Accelerator Conference (IPAC19), Melbourne …, 2019 | | 2019 |
Witold NazarewiczProfessor of Physics, Michigan State UniversityDirección de correo verificada de frib.msu.edu