MCEND: An open-source program for quantum electron-nuclear dynamics

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Physics Communications Pub Date : 2024-10-23 DOI:10.1016/j.cpc.2024.109405
Inga S. Ulusoy , Lucas E. Aebersold , Cong Wang , Angela K. Wilson
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Abstract

The software MCEND (Multi-Configuration Electron-Nuclear Dynamics) is a free open-source program package which simulates the quantum dynamics of electron-nuclei simultaneously for diatomic molecules. Its formulation, implementation, and usage are described in detail. MCEND uses a grid-based basis representation for the nuclei, and the electronic basis is derived from standard electronic structure basis sets on the nuclear grid. The wave function is represented as a sum over products of electronic and nuclear wave functions, thus capturing correlation effects between electrons, nuclei, and electrons and nuclei. The LiH molecule was used as an example for simulating the molecular properties such as the dipole moment and absorption spectrum.
PROGRAM SUMMARY
Program Title MCEND, v.2.6.0
CPC Library link to program files: https://doi.org/10.17632/tkb9dwf85t.1
Developer's repository link: https://github.com/MCEND-hub/MCEND (https://github.com/MCEND-hub/MCEND-library and https://github.com/MCEND-hub/MCEND-tools are git submodules of MCEND)
Licensing provisions: MIT
Programming language: Fortran 90 and Python 3
External routines/libraries: FFTW, OpenMP, BLAS, LAPACK, PSI4, Matplotlib, mendeleev, NumPy, Pandas, SciPy, PyTables
Nature of problem: MCEND is to simulate the quantum dynamics of electrons and nuclei simultaneously at multiconfiguration levels.
Solution method: The presented program package solves the time-dependent Schrödinger equation with the wave function represented as sum over configuration products using an 8th-order adaptive step size Runge-Kutta ordinary differential equation (ODE) solver. The software can be extended by supplementing modules on the existing infrastructure.
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MCEND:量子电子核动力学开源程序
MCEND(Multi-Configuration Electron-Nuclear Dynamics)软件是一个免费的开放源码程序包,可同时模拟二原子分子的电子核量子动力学。本文详细介绍了该软件的开发、实施和使用。MCEND 采用基于网格的原子核基础表示法,电子基础来自核网格上的标准电子结构基础集。波函数表示为电子波函数与核波函数乘积之和,从而捕捉电子、原子核以及电子与原子核之间的相关效应。以 LiH 分子为例,模拟了偶极矩和吸收光谱等分子特性。PROGRAM SUMMARYProgram Title MCEND, v.2.6.0CPC Library link to program files: https://doi.org/10.17632/tkb9dwf85t.1Developer's repository link: https://github.com/MCEND-hub/MCEND (https://github.com/MCEND-hub/MCEND-library and https://github.com/MCEND-hub/MCEND-tools are git submodules of MCEND)Licensing provisions:MIT 编程语言:Fortran 90 和 Python 3Fortran 90 和 Python 3外部例程/库:FFTW、OpenMP、BLAS、LAPACK、PSI4、Matplotlib、mendeleev、NumPy、Pandas、SciPy、PyTables问题性质:MCEND 是在多配置水平上同时模拟电子和原子核的量子动力学:所介绍的程序包使用 8 阶自适应步长 Runge-Kutta 常微分方程求解器求解与时间相关的薛定谔方程,波函数表示为配置乘积之和。该软件可通过在现有基础架构上补充模块进行扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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