GBasis: A Python library for evaluating functions, functionals, and integrals expressed with Gaussian basis functions

Python(编程语言) 高斯分布 计算 计算机科学 基函数 理论计算机科学 基础(线性代数) 计算科学 算法 程序设计语言 物理 数学 量子力学 几何学
作者
Taewon David Kim,Leila Pujal,Michelle Richer,Maximilian van Zyl,Marco Martínez González,Alireza Tehrani,Valerii Chuiko,Gabriela Sánchez‐Díaz,Wesley Sanchez,William Adams,Xiaomin Huang,Braden Kelly,Esteban Vöhringer‐Martinez,Toon Verstraelen,Farnaz Heidar‐Zadeh,Paul W. Ayers
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:161 (4) 被引量:5
标识
DOI:10.1063/5.0216776
摘要

GBasis is a free and open-source Python library for molecular property computations based on Gaussian basis functions in quantum chemistry. Specifically, GBasis allows one to evaluate functions expanded in Gaussian basis functions (including molecular orbitals, electron density, and reduced density matrices) and to compute functionals of Gaussian basis functions (overlap integrals, one-electron integrals, and two-electron integrals). Unique features of GBasis include supporting evaluation and analytical integration of arbitrary-order derivatives of the density (matrices), computation of a broad range of (screened) Coulomb interactions, and evaluation of overlap integrals of arbitrary numbers of Gaussians in arbitrarily high dimensions. For circumstances where the flexibility of GBasis is less important than high performance, a seamless Python interface to the Libcint C package is provided. GBasis is designed to be easy to use, maintain, and extend following many standards of sustainable software development, including code-quality assurance through continuous integration protocols, extensive testing, comprehensive documentation, up-to-date package management, and continuous delivery. This article marks the official release of the GBasis library, outlining its features, examples, and development.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
variant发布了新的文献求助10
1秒前
nini完成签到,获得积分10
2秒前
脑洞疼应助单纯的代荷采纳,获得10
3秒前
通关完成签到 ,获得积分10
4秒前
黒面包发布了新的文献求助10
4秒前
优美语风发布了新的文献求助10
4秒前
补丁完成签到,获得积分10
5秒前
6秒前
6秒前
Leo驳回了wanci应助
7秒前
7秒前
smiler488发布了新的文献求助30
7秒前
8秒前
白萝卜发布了新的文献求助10
9秒前
彳亍的驴发布了新的文献求助10
10秒前
12秒前
12秒前
kk发布了新的文献求助10
13秒前
幼儿园大大班完成签到,获得积分10
13秒前
son发布了新的文献求助10
13秒前
16秒前
谦让初南发布了新的文献求助10
16秒前
星辰大海应助英姿不是我采纳,获得10
19秒前
搜集达人应助科研通管家采纳,获得30
22秒前
猪猪hero应助科研通管家采纳,获得10
22秒前
思源应助科研通管家采纳,获得10
22秒前
科研通AI2S应助科研通管家采纳,获得10
22秒前
李爱国应助科研通管家采纳,获得10
22秒前
22秒前
科研通AI5应助科研通管家采纳,获得10
22秒前
23秒前
英姑应助科研通管家采纳,获得10
23秒前
猪猪hero应助科研通管家采纳,获得10
23秒前
充电宝应助向太阳奔跑hx采纳,获得10
23秒前
23秒前
ORANGE完成签到,获得积分10
23秒前
Hin66完成签到 ,获得积分10
27秒前
沁钦完成签到,获得积分10
27秒前
耍酷的画笔完成签到,获得积分10
30秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3484032
求助须知:如何正确求助?哪些是违规求助? 3073129
关于积分的说明 9129662
捐赠科研通 2764825
什么是DOI,文献DOI怎么找? 1517375
邀请新用户注册赠送积分活动 702100
科研通“疑难数据库(出版商)”最低求助积分说明 700990