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Ab Initio Nuclear Thermodynamics.
Lu, Bing-Nan; Li, Ning; Elhatisari, Serdar; Lee, Dean; Drut, Joaquín E; Lähde, Timo A; Epelbaum, Evgeny; Meißner, Ulf-G.
Afiliação
  • Lu BN; Facility for Rare Isotope Beams and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
  • Li N; Facility for Rare Isotope Beams and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
  • Elhatisari S; Faculty of Engineering, Karamanoglu Mehmetbey University, Karaman 70100, Turkey.
  • Lee D; Facility for Rare Isotope Beams and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
  • Drut JE; Department of Physics and Astronomy, University of North Carolina, Chapel Hill, North Carolina 27599-3255, USA.
  • Lähde TA; Institute for Advanced Simulation, Institut für Kernphysik, and Jülich Center for Hadron Physics, Forschungszentrum Jülich, D-52425 Jülich, Germany.
  • Epelbaum E; Ruhr-Universität Bochum, Fakultät für Physik und Astronomie, Institut für Theoretische Physik II, D-44780 Bochum, Germany.
  • Meißner UG; Institute for Advanced Simulation, Institut für Kernphysik, and Jülich Center for Hadron Physics, Forschungszentrum Jülich, D-52425 Jülich, Germany.
Phys Rev Lett ; 125(19): 192502, 2020 Nov 06.
Article em En | MEDLINE | ID: mdl-33216564
ABSTRACT
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article