水母:基于波函数的电子动力学模拟和传统和量子计算架构可视化的模块化代码

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Fabian Langkabel, Pascal Krause, Annika Bande
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引用次数: 0

摘要

近年来,超快电子动力学研究取得了长足的进展。有了水母,我们现在引入了一个程序套件,可以执行电子动力学模拟的整个工作流程。模块化程序体系结构提供了不同传播器、哈密顿量、基集等的灵活组合。水母可以通过图形用户界面进行操作,这使得非专业用户可以轻松入门,并为有经验的用户提供整个功能的清晰概述。波函数的时间演化目前可以在时间相关配置交互方法(TDCI)形式主义中执行,然而,插件系统有助于扩展到其他方法和工具,而无需深入了解程序。目前开发的插件允许包括传统电子结构计算的结果,以及电子动力学量子计算算法的使用和扩展。我们通过三个例子展示了水母的能力,以展示光驱动相关电子动力学的模拟和分析。实现了各种密度的可视化,可以对电子-空穴对形成的长期探索进行有效和详细的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Jellyfish: A modular code for wave function-based electron dynamics simulations and visualizations on traditional and quantum compute architectures

Jellyfish: A modular code for wave function-based electron dynamics simulations and visualizations on traditional and quantum compute architectures

Jellyfish: A modular code for wave function-based electron dynamics simulations and visualizations on traditional and quantum compute architectures

Ultrafast electron dynamics have made rapid progress in the last few years. With Jellyfish, we now introduce a program suite that enables to perform the entire workflow of an electron-dynamics simulation. The modular program architecture offers a flexible combination of different propagators, Hamiltonians, basis sets, and more. Jellyfish can be operated by a graphical user interface, which makes it easy to get started for nonspecialist users and gives experienced users a clear overview of the entire functionality. The temporal evolution of a wave function can currently be executed in the time-dependent configuration interaction method (TDCI) formalism, however, a plugin system facilitates the expansion to other methods and tools without requiring in-depth knowledge of the program. Currently developed plugins allow to include results from conventional electronic structure calculations as well as the usage and extension of quantum-compute algorithms for electron dynamics. We present the capabilities of Jellyfish on three examples to showcase the simulation and analysis of light-driven correlated electron dynamics. The implemented visualization of various densities enables an efficient and detailed analysis for the long-standing quest of the electron–hole pair formation.

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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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