Conveners
Session 12: Nuclear Structure, Reactions and Dynamics
- Alison Bruce (University of Brighton)
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly developing fields providing data-driven algorithms to predict, classify, and make decisions based on data. Nuclear Physics Research is data-driven and AI/ML techniques have been implemented for experiment and accelerator control, in theoretical applications, and in data processing and analysis. These algorithms open...
Sylvester Agbemava1, Eric Flynn1,2, Daniel Lay1,2, Kyle Godbey1, Witold Nazarewicz1,2
1FRIB Laboratory, Michigan State University, East Lansing, Michigan 48824, USA.
2Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Fission is a fundamental nuclear decay that plays an important role in many areas of science. Recently, significant...
Deuteron-induced nuclear reactions are typically described within a Faddeev three-body model consisting of a neutron, proton, and the nucleus interacting through pairwise forces. While Faddeev techniques enable the exact description of the three-body dynamics, their predictive power is limited in part by the omission of irreducible three-body nucleon-nucleon-nucleus forces. An alternative...
Electron scattering and rare isotopes are unique complementary techniques that provide powerful magnifying glasses to probe the interactions between nucleons inside nuclei. Over more than a quarter century, the 4 GeV and now 12 GeV (un)polarized electron beam of the Thomas Jefferson National Accelerator Facility (Newport News, Virginia, USA) has unraveled unprecedented insights into nuclear...
