The subsystem quantum chemistry program Serenity

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2022-12-07 DOI:10.1002/wcms.1647
Niklas Niemeyer, Patrick Eschenbach, Moritz Bensberg, Johannes T?lle, Lars Hellmann, Lukas Lampe, Anja Massolle, Anton Rikus, David Schnieders, Jan P. Unsleber, Johannes Neugebauer
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引用次数: 7

Abstract

SERENITY [J Comput Chem. 2018;39:788–798] is an open-source quantum chemistry software that provides an extensive development platform focused on quantum-mechanical multilevel and embedding approaches. In this study, we give an overview over the developments done in Serenity since its original publication in 2018. This includes efficient electronic-structure methods for ground states such as multilevel domain-based local pair natural orbital coupled cluster and Møller–Plesset perturbation theory as well as the multistate frozen-density embedding quasi-diabatization method. For the description of excited states, SERENITY features various subsystem-based methods such as embedding variants of coupled time-dependent density-functional theory, approximate second-order coupled cluster theory and the second-order algebraic diagrammatic construction technique as well as GW/Bethe–Salpeter equation approaches. SERENITY's modular structure allows combining these methods with density-functional theory (DFT)-based embedding through various practical realizations and variants of subsystem DFT including frozen-density embedding, potential-reconstruction techniques and projection-based embedding.

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子系统量子化学项目宁静号
SERENITY是一个开源的量子化学软件,提供了一个广泛的开发平台,专注于量子力学的多层次和嵌入方法。在本研究中,我们概述了自2018年首次发布以来在Serenity中所做的发展。这包括有效的基态电子结构方法,如基于多能级域的局域对自然轨道耦合簇和Møller-Plesset微扰理论,以及多态冷冻密度嵌入准糖化方法。对于激发态的描述,SERENITY采用了多种基于子系统的方法,如耦合时相关密度泛函理论的嵌入变体、近似二阶耦合聚类理论和二阶代数图构建技术以及GW/ Bethe-Salpeter方程方法。SERENITY的模块化结构允许将这些方法与基于密度泛函理论(DFT)的嵌入相结合,通过各种实际实现和子系统DFT的变体,包括冻结密度嵌入、潜在重建技术和基于投影的嵌入。本文分类如下:
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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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