Work

Pauli energy contribution to nucleus-nucleus interaction

Year: 2024

Type: article

Abstract: \nThe investigation delves into understanding how the Pauli exclusion principle influences the bare potential between atomic nuclei through the application of advanced theoretical methodologies. Specifically, the application of the novel Frozen-Hartree-Fock (DCFHF) technique is employed. The resulting potentials demonstrate a noticeable repulsion at short distances, attributed to the eﬀects of the Pauli exclusion principle. To account for dynamic phenomena, such as nucleon transfer processes, the density-constrained time-dependent Hartree-Fock (DC-TDHF) method is utilized. This approach integrates isovector contributions into the potential, shedding light on their influence on fusion reactions. Notably, the inclusion of isovector eﬀects leads to a reduction or enhancement in the inner part of the potential, suggesting a nuanced role of transfer in the fusion process.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epjconf/202430601002/pdf

Authors: A.S. Umar, K. Godbey, C. Simenel

Institutions: Vanderbilt University, Facility for Rare Isotope Beams, Michigan State University, Australian National University

Language: English

Topic: Nuclear physics research studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Energy, Vanderbilt University, National Nuclear Security Administration, Australian Research Council

Awards: LOW ENERGY NUCLEAR REACTIONS USING TIME DEPENDENT DENSITY FUNCTIONAL THEORY, MICHIGAN STATE UNIVERSITY (MSU) WILL CARRY OUT A PROGRAMMATIC STUDY OF THE FISSION PROCESS IN NUCLEI, BASED ON SELF-CONSISTENT DENSITY FUNCTIONAL THEORY AND ITS EXTENSIONS, FOCUSING ON MEDIUM-MASS NUCLEI AND THE ACTINIDE AND TRANSACTINIDE REGIONS. THEY PERFORM SYSTEMATIC SELF-CONSISTENT CALCULATIONS OF TO ESTIMATE SPONTANEOUS FISSION LIFETIMES AND MASS AND CHARGE FRAGMENT YIELDS USING DYNAMIC ADIABATIC APPROACHES. TO ESTIMATE THEORETICAL UNCERTAINTIES, THEY APPLY ADVANCED METHODS OF UNCERTAINTY QUANTIFICATION SUCH AS BAYESIAN MACHINE LEARNING AND BAYESIAN MODEL MIXING. TO CARRY OUT LARGE-SCALE FISSION STUDIES, THEY APPLY MACHINE LEARNING TECHNIQUES TO EMULATE EXPENSIVE SIMULATIONS AND TO REDUCE THE COLLECTIVE SPACE OF COMPUTATIONS., G7595064423, Quantum tunnelling of composite systems