MultiPsi: A python']python-driven MCSCF program for photochemistry and spectroscopy simulations on modern HPC environments

被引:8
|
作者
Delcey, Mickael G. [1 ,2 ,3 ]
机构
[1] KTH Royal Inst Technol, Dept Chem, Div Theoret Chem & Biol, Stockholm, Sweden
[2] Lund Univ, Dept Chem, Div Computat Chem, Lund, Sweden
[3] Lund Univ, Dept Chem, Div Computat Chem, POB 124, SE-22100 Lund, Sweden
基金
瑞典研究理事会;
关键词
electronic structure theory; high-performance computing (HPC); MCSCF; response theory; CONFIGURATION-INTERACTION; PARALLEL IMPLEMENTATION; PERTURBATION-THEORY; LINEAR-RESPONSE; STATE; ALGORITHMS; VALENCE; SCF;
D O I
10.1002/wcms.1675
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
We present MultiPsi, an open-source MCSCF program for the calculation of ground and excited states properties of strongly correlated systems. The program currently implements a general MCSCF code with excited states available using either state-averaging or linear response. It is written in a highly modular fashion using Python/C++ which makes it well suited as a development platform, enabling easy prototyping of novel methods, and as a teaching tool using interactive notebooks. The code is also very efficient and designed for modern high-performance computing environments using hybrid OpenMP/MPI parallelization. This efficiency is demonstrated with the calculation of the CASSCF energy and linear response of a molecule with more than 700 atoms as well as a fully optimized conventional CI calculation on more than 400 billion determinants.
引用
收藏
页数:14
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