Lu Bing-Nan, Li Ning, Elhatisari Serdar, Lee Dean, Drut Joaquín E, Lähde Timo A, Epelbaum Evgeny, Meißner Ulf-G
Facility for Rare Isotope Beams and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Faculty of Engineering, Karamanoglu Mehmetbey University, Karaman 70100, Turkey.
Phys Rev Lett. 2020 Nov 6;125(19):192502. doi: 10.1103/PhysRevLett.125.192502.
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.
我们提出了一种新的蒙特卡罗方法，称为针孔追踪算法，用于从头计算核系统的热力学。对于感兴趣的典型模拟，相对于传统的巨正则系综计算，计算速度可提高多达一千倍。使用一种能将许多原子核和中子物质的性质精确到百分之几的领先阶有效相互作用，我们确定了质子数和中子数相等的对称核物质的临界点和液-气共存线的位置。我们还首次对核团簇的密度和温度依赖性进行了从头计算研究。
