This title appears in the Scientific Report :
2020
Please use the identifier:
http://dx.doi.org/10.1103/PhysRevLett.125.192502 in citations.
Please use the identifier: http://hdl.handle.net/2128/26740 in citations.
Ab Initio Nuclear Thermodynamics
Ab Initio Nuclear Thermodynamics
We propose a new Monte Carlo method called the pinhole trace algorithm for ab initio calculations of the thermodynamics of nuclear systems. For typical simulations of interest, the computational speedup relative to conventional grand-canonical ensemble calculations can be as large as a factor of one...
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Personal Name(s): | Lu, Bing-Nan (Corresponding author) |
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Li, Ning / Elhatisari, Serdar / Lee, Dean / Drut, Joaquín E. / Lähde, Timo A. / Epelbaum, Evgeny / Meißner, Ulf-G. | |
Contributing Institute: |
Theorie der Starken Wechselwirkung; IAS-4 JARA - HPC; JARA-HPC Theorie der starken Wechselwirkung; IKP-3 |
Published in: | Physical review letters, 125 (2020) 19, S. 192502 |
Imprint: |
College Park, Md.
APS
2020
|
DOI: |
10.1103/PhysRevLett.125.192502 |
Document Type: |
Journal Article |
Research Program: |
Nuclear Lattice Simulations TRR 110: Symmetrien und Strukturbildung in der Quantenchromodynamik Computational Science and Mathematical Methods |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/26740 in citations.
We propose a new Monte Carlo method called the pinhole trace algorithm for ab initio calculations of the thermodynamics of nuclear systems. For typical simulations of interest, the computational speedup relative to conventional grand-canonical ensemble calculations can be as large as a factor of one thousand. Using a leading-order effective interaction that reproduces the properties of many atomic nuclei and neutron matter to a few percent accuracy, we determine the location of the critical point and the liquid-vapor coexistence line for symmetric nuclear matter with equal numbers of protons and neutrons. We also present the first ab initio study of the density and temperature dependence of nuclear clustering. |