Free and open source software for computational chemistry education

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Susi Lehtola, Antti J. Karttunen
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引用次数: 20

Abstract

After decades of waiting, computational chemistry for the masses is finally here. Our brief review on free and open source software (FOSS) packages points out the existence of software offering a wide range of functionality, all the way from approximate semiempirical calculations with tight-binding density functional theory to sophisticated ab initio wave function methods such as coupled-cluster theory, covering both molecular and solid-state systems. Combined with the remarkable increase in the computing power of personal devices, which now rivals that of the fastest supercomputers in the world in the 1990s, we demonstrate that a decentralized model for teaching computational chemistry is now possible thanks to FOSS packages, enabling students to perform reasonable modeling on their own computing devices in the bring your own device (BYOD) scheme. FOSS software can be made trivially simple to install and keep up to date, eliminating the need for departmental support, and also enables comprehensive teaching strategies, as various algorithms' actual implementations can be used in teaching. We exemplify what kinds of calculations are feasible with four FOSS electronic structure programs, assuming only extremely modest computational resources, to illustrate how FOSS packages enable decentralized approaches to computational chemistry education within the BYOD scheme. FOSS also has further benefits driving its adoption: the open access to the source code of FOSS packages democratizes the science of computational chemistry, and FOSS packages can be used without limitation also beyond education, in academic and industrial applications, for example.

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Abstract Image

用于计算化学教育的免费开源软件
经过几十年的等待,面向大众的计算化学终于到来了。我们对自由和开源软件(FOSS)软件包的简要回顾指出,现有的软件提供了广泛的功能,从使用紧密结合密度泛函理论的近似半经验计算到复杂的从头算波函数方法(如耦合簇理论),涵盖了分子和固态系统。结合个人设备的计算能力的显着增长,现在可以与20世纪90年代世界上最快的超级计算机相媲美,我们证明了一种分散的计算化学教学模式现在是可能的,这要归功于自由/开源软件软件包,使学生能够在自带设备(BYOD)计划中在自己的计算设备上进行合理的建模。自由/开源软件可以使安装和更新变得非常简单,不需要部门支持,还可以实现全面的教学策略,因为可以将各种算法的实际实现用于教学。我们举例说明了四种自由/开源软件电子结构程序的计算类型是可行的,假设只有极其适度的计算资源,以说明自由/开源软件软件包如何在BYOD方案中实现分散的计算化学教育方法。自由/开源软件还具有推动其采用的其他好处:对自由/开源软件软件包源代码的开放访问使计算化学科学民主化,并且自由/开源软件软件包可以不受限制地使用,也可以在教育之外使用,例如在学术和工业应用中。本文分类如下:
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
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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