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Potential generation and path‐integral M onte C arlo in study of microscopic superfluidity
Author(s) -
Zeng Tao,
Li Hui,
Roy PierreNicholas
Publication year - 2015
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/qua.24815
Subject(s) - superfluidity , path integral monte carlo , monte carlo method , statistical physics , measure (data warehouse) , physics , path integral formulation , condensed matter physics , quantum mechanics , computer science , mathematics , statistics , database , quantum
The idea of a macroscopic Andronikashvili experiment used to measure superfluid fraction of bulk liquid 4 He can be ported into the realm of spectroscopic studies to measure the superfluid fraction of microscopic systems at the nanoscale. Theoretical studies are needed to fully unravel the superfluid information contained in such a microscopic Andronikashvili experiment. Two aspects of the theoretical studies, the generation of accurate and efficient potential energy surfaces, and the methodology of path‐integral Monte Carlo simulations are briefly introduced in this article. © 2014 Wiley Periodicals, Inc.