Time-Dependent Vibrational Coupled Cluster Theory With Static and Dynamic Basis Functions

IF 27 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2025-01-19 DOI:10.1002/wcms.70001
Mads Greisen Højlund, Alberto Zoccante, Andreas Buchgraitz Jensen, Ove Christiansen
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Abstract

In recent decades, coupled cluster theory has proven valuable in accurately describing correlation in many-body systems, particularly in time-independent computations of molecular electronic structure and vibrations. This review describes recent advancements in using coupled cluster parameterizations for time-dependent wave functions for the efficient computation of the quantum dynamics associated with the motion of nuclei. It covers time-dependent vibrational coupled cluster (TDVCC) and time-dependent modal vibrational coupled cluster (TDMVCC), which employ static and adaptive basis sets, respectively. We discuss the theoretical foundation, including many-mode second quantization, bivariational principles, and various parameterizations of time-dependent bases. Additionally, we highlight key features that make TDMVCC promising for future quantum dynamical simulations. These features include fast configuration-space convergence, the use of a compact adaptive basis set, and the possibility of efficient implementations with a computational cost that scales only polynomially with system size.

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具有静态和动态基函数的时变振动耦合聚类理论
近几十年来,耦合簇理论在精确描述多体系统的相关性方面被证明是有价值的,特别是在分子电子结构和振动的时间无关计算中。本文综述了利用时变波函数的耦合簇参数化来有效计算与原子核运动相关的量子动力学的最新进展。它包括时变振动耦合簇(TDVCC)和时变模态振动耦合簇(TDMVCC),分别采用静态基集和自适应基集。我们讨论了理论基础,包括多模二次量化,二分原理,和各种参数化的时变基。此外,我们强调了使TDMVCC在未来量子动力学模拟中具有前景的关键特性。这些特征包括快速配置空间收敛,使用紧凑的自适应基集,以及计算成本仅随系统大小多项式扩展的高效实现的可能性。
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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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