返回
VeloxChem: A Python-driven density-functional theory program for spectroscopy simulations in high-performance computing environments
DOI:10.1002/wcms.1457.png)
摘要
En 中文
An open-source program named VeloxChem has been developed for the calculation of electronic real and complex linear response functions at the levels of Hartree-Fock and Kohn-Sham density functional theories. With an object-oriented program structure written in a Python/C++ layered fashion, VeloxChem enables time-efficient prototyping of novel scientific approaches without sacrificing computational efficiency, so that molecular systems involving up to and beyond 500 second-row atoms (or some 10,000 contracted and in part diffuse Gaussian basis functions) can be routinely addressed. In addition, VeloxChem is equipped with a polarizable embedding scheme for the treatment of the classical electrostatic interactions with an environment that in turn is modeled by atomic site charges and polarizabilities. The underlying hybrid message passing interface (MPI)/open multiprocessing (OpenMP) parallelization scheme makes VeloxChem suitable for execution in high-performance computing cluster environments, showing even slightly beyond linear scaling for the Fock matrix construction with use of up to 16,384 central processing unit (CPU) cores. An efficient-with respect to convergence rate and overall computational cost-multifrequency/gradient complex linear response equation solver enables calculations not only of conventional spectra, such as visible/ultraviolet/X-ray electronic absorption and circular dichroism spectra, but also time-resolved linear response signals as due to ultra-short weak laser pulses. VeloxChem distributed under the GNU Lesser General Public License version 2.1 (LGPLv2.1) license and made available for download from the homepage . This article is categorized under: Software > Quantum Chemistry Electronic Structure Theory > Density Functional Theory Theoretical and Physical Chemistry > Spectroscopy
Keyword:
circular dichroism
density functional theory (DFT)
ECD
high-performance computing (HPC)
MPI
OpenMP
response theory
UV
vis
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
W
IF:
27
论文数:
668
被引数:
1.2W
机构
引用论文
CPPE: An Open-Source C plus plus and Python Library for Polarizable EmbeddingCPPE: 用于极化嵌入的开源C plus plus和Python库

