Speaker
Description
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 progress has been made in the microscopic modeling of the dynamics of spontaneous and induced fission based on nuclear density functional theory (DFT) [1]. The nuclear fission process is a dramatic example of large-amplitude collective motion in which the nucleus undergoes a series of shape changes before splitting into distinct fragments. Because of the complexity of this process, our understanding is still not complete.
The simulation of independent and cumulative yields requires knowledge of the initial conditions of the fragments immediately after scission. We take a closer look at the microscopic description of nuclear fission within the framework of nuclear density functional theory, combining the multidimensional minimization of the collective action for fission with a statistical approach rooted in a microcanonical ensemble to track the relevant fission paths from the ground-state configuration up to scission [2, 3, 4].
This work was supported by the U.S. Department of Energy under Award No. DOE-DE-NA0002847 (NNSA, the Stewardship Science Academic Alliances program), DESC0013365 (Office of Science), and DE-SC0018083 (Office of Science, NUCLEI SciDAC-4 Collaboration)
[1] M. Bender et al., J. Phys. G 47, 113002 (2020).
[2] J. Sadhukhan, W. Nazarewicz, and N. Schunck, Phys. Rev C 93, 011304(R) (2016)
[3] N Schunck, LM Robledo - Reports on Progress in Physics, 2016
[4] N Schunck, D Duke, H Carr, A Knoll Phys Rev C 90, 054305 (2014
| Attendance Type | In-person |
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