PyQMC: An all-Python']Python real-space quantum Monte Carlo module in PySCF

被引:8
|
作者
Wheeler, William A. [1 ]
Pathak, Shivesh [2 ]
Kleiner, Kevin G. [3 ]
Yuan, Shunyue [4 ]
Rodrigues, Joao N. B. [5 ]
Lorsung, Cooper [6 ]
Krongchon, Kittithat [3 ]
Chang, Yueqing [7 ]
Zhou, Yiqing [8 ]
Busemeyer, Brian [9 ]
Williams, Kiel T. [10 ]
Munoz, Alexander [3 ]
Chow, Chun Yu [3 ]
Wagner, Lucas K. [3 ]
机构
[1] Univ Illinois, Dept Mat Sci & Engn, Urbana, IL 61801 USA
[2] Sandia Natl Labs, Ctr Comp Res, Albuquerque, NM 87123 USA
[3] Univ Illinois, Dept Phys, Urbana, IL 61801 USA
[4] CALTECH, Dept Appl Phys & Mat Sci, Pasadena, CA 91125 USA
[5] Univ Fed ABC UFABC, Ctr Ciencias Nat & Humanas, BR-09210580 Santo Andre, SP, Brazil
[6] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
[7] Rutgers State Univ, Dept Phys & Astron, Piscataway, NJ 08854 USA
[8] Cornell Univ, Lab Atom & Solid State Phys, Ithaca, NY 14853 USA
[9] Millenium Management, New York, NY 10022 USA
[10] Dynata, Plano, TX 75024 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2023年 / 158卷 / 11期
基金
美国国家科学基金会;
关键词
WAVE-FUNCTIONS; EXCITED-STATES; FIXED NUMBER; CURVES; MPI;
D O I
10.1063/5.0139024
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
We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. Tight integration with the PySCF environment allows for a simple comparison between QMC calculations and other many-body wave function techniques, as well as access to high accuracy trial wave functions.
引用
收藏
页数:10
相关论文
共 32 条