Potential energy surfaces and fission fragment mass yields of even-even superheavy nuclei
P. V. Kostryukov, A. Dobrowolski, B. Nerlo-Pomorska, M. Warda, Z. G., Xiao, Y. J. Chen, L. L. Liu, J. L. Tian, and K. Pomorski

TL;DR
This paper analyzes potential energy surfaces and predicts fission fragment mass yields of superheavy nuclei using a macroscopic-microscopic model with advanced shape parametrization and Langevin dynamics.
Contribution
It introduces a comprehensive method combining the LSD model, Yukawa-folded potential, and 3D Langevin equations to study fission in superheavy nuclei, including a new asymmetric fission mode.
Findings
Identification of a new very asymmetric fission mode in superheavy nuclei
Good reproduction of nuclear shapes using Fourier shape parametrization
Prediction of fission fragment mass distributions with Langevin equations
Abstract
Potential energy surfaces and fission barriers of superheavy nuclei are analyzed in the macroscopic-microscopic model. The Lublin-Strasbourg Drop (LSD) is used to obtain the macroscopic part of the energy, whereas the shell and pairing energy corrections are evaluated using the Yukawa-folded potential. A standard flooding technique has been used to determine the barrier heights. It was shown the Fourier shape parametrization containing only three deformation parameters reproduces well the nuclear shapes of nuclei on their way to fission. In addition, the non-axial degree of freedom is taken into account to describe better the form of nuclei around the ground state and in the saddles region. Apart from the symmetric fission valley, a new very asymmetric fission mode is predicted in most superheavy nuclei. The fission fragment mass distributions of considered nuclei are obtained by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
