Properties of selected diatomics using variational Monte Carlo methods

被引:2
|
作者
Datta, S
Alexander, SA
Coldwell, RL
机构
[1] SN Bose Natl Ctr Basic Sci, Kolkata 700098, W Bengal, India
[2] Univ Texas Pan Amer, Dept Phys & Geol, Edinburg, TX 78539 USA
[3] Univ Florida, Dept Phys, Gainesville, FL 32611 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2004年 / 120卷 / 08期
关键词
D O I
10.1063/1.1643351
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Using variational Monte Carlo and highly accurate trial wave functions optimized by Filippi and Umrigar, we calculate a number of molecular properties for the ground state of Li-2, Be-2, B-2, C-2, N-2, O-2, and F-2. This is the first time that many of these properties have been computed. (C) 2004 American Institute of Physics.
引用
收藏
页码:3642 / 3647
页数:6
相关论文
共 50 条
  • [41] MONTE CARLO METHODS
    不详
    [J]. ICC BULLETIN, 1965, 4 (02): : 151 - &
  • [42] Quantum Monte Carlo study of first-row atoms using transcorrelated variational Monte Carlo trial functions
    Prasad, Rajendra
    Umezawa, Naoto
    Domin, Dominik
    Salomon-Ferrer, Romelia
    Lester, William A., Jr.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2007, 126 (16):
  • [43] Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
    Domke, Justin
    Sheldon, Daniel
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [44] SYSTEMATIC IMPROVEMENT OF VARIATIONAL MONTE-CARLO USING LANCZOS ITERATIONS
    HEEB, ES
    RICE, TM
    [J]. ZEITSCHRIFT FUR PHYSIK B-CONDENSED MATTER, 1993, 90 (01): : 73 - 77
  • [45] Improved efficiency with variational Monte Carlo using two level sampling
    Dewing, M
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2000, 113 (13): : 5123 - 5125
  • [46] Enhancing variational Monte Carlo simulations using a programmable quantum simulator
    Moss, M. Schuyler
    Ebadi, Sepehr
    Wang, Tout T.
    Semeghini, Giulia
    Bohrdt, Annabelle
    Lukin, Mikhail D.
    Melko, Roger G.
    [J]. PHYSICAL REVIEW A, 2024, 109 (03)
  • [47] Ground State of Beryllium Atom Using Variational Monte Carlo Method
    Doma, S. B.
    El-Gendy, H. S.
    Abdel-Khalek, M. A.
    Mohamed, M. E.
    [J]. ACTA PHYSICA POLONICA A, 2020, 138 (06) : 838 - 843
  • [48] Solution of the Kronig-Penney model using variational Monte Carlo
    Alexander, SA
    Coldwell, RL
    [J]. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2002, 86 (04) : 325 - 329
  • [49] Reconstruction of random media using Monte Carlo methods
    Manwart, C
    Hilfer, R
    [J]. PHYSICAL REVIEW E, 1999, 59 (05): : 5596 - 5599
  • [50] Tomographic reconstruction using heuristic Monte Carlo methods
    Barbuzza, R.
    Venere, M.
    Clausse, A.
    [J]. JOURNAL OF HEURISTICS, 2007, 13 (03) : 227 - 242