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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Fabian Langkabel
  • Pascal Krause
  • Annika Bande

External Research Organisations

  • Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
  • Freie Universität Berlin (FU Berlin)
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Details

Original languageEnglish
Article numbere1696
JournalWiley Interdisciplinary Reviews: Computational Molecular Science
Volume14
Issue number1
Early online date27 Nov 2023
Publication statusPublished - 16 Jan 2024
Externally publishedYes

Abstract

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. This article is categorized under: Theoretical and Physical Chemistry > Spectroscopy Software > Simulation Methods.

Keywords

    ab initio dynamics, electron dynamics, laser excitation, software development, visualization

ASJC Scopus subject areas

Cite this

Jellyfish: A modular code for wave function‐based electron dynamics simulations and visualizations on traditional and quantum compute architectures. / Langkabel, Fabian; Krause, Pascal; Bande, Annika.
In: Wiley Interdisciplinary Reviews: Computational Molecular Science, Vol. 14, No. 1, e1696, 16.01.2024.

Research output: Contribution to journalArticleResearchpeer review

Download
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