Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Doctoral Dissertations
  5. Exploring the Energy Density Functional with High-Performance Computing
Details

Exploring the Energy Density Functional with High-Performance Computing

Date Issued
December 1, 2014
Author(s)
Olsen, Erik Michael  
Advisor(s)
Witek Nazarewicz
Additional Advisor(s)
Vasilios Alexiades
Robert Grzywacz
Thomas Papenbrock
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/24250
Abstract

For theoretical nuclear physics to make predictions on nuclei far from stability it is necessary to develop a framework where meaningful calculations can be made throughout the nuclear chart. Such a framework has been established; using nuclear Density Functional Theory (DFT) along with massively parallel computing, it is now possible to make large-scale mass table calculations in a short period of time. For this work, large-scale mass tables were made using Skyrme Energy Density Functionals (EDFs). In order to determine the statistical and systematic uncertainties of these calculations, six different EDFs were used. Using ground state binding energy, pairing gap, radius, and deformation data from these tables, the following global properties were analyzed: the two-proton and two-neutron driplines, two-proton radioactivity, ground state reflection-asymmetric shapes, and neutron-skin thicknesses. These data were also used in the development of a new EDF. Lastly, in an effort to better understand nuclear collective modes, massively parallel computational techinques were used in the development of a method to calculate the sum rules for giant resonances.

Degree
Doctor of Philosophy
Major
Physics
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Olsen_Dissertation_complete.pdf

Size

4.82 MB

Format

Adobe PDF

Checksum (MD5)

86c72d134c8e200b79626cd225c20750

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify