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Turbomole

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Furche, Filipp, Ahlrichs, Reinhart, Hättig, Christof, Klopper, Wim, Sierka, Marek, Weigend, Florian·2014·WIREs Computational Molecular Science

Abstract

Turbomole is a highly optimized software package for large‐scale quantum chemical simulations of molecules, clusters, and periodic solids. Turbomole uses G aussian basis sets and specializes on predictive electronic structure methods with excellent cost to performance characteristics, such as (time‐dependent) density functional theory (TDDFT), second‐order M øller–P lesset theory, and explicitly correlated coupled cluster (CC) methods. These methods are combined with ultraefficient and numerically stable algorithms such as integral‐direct and Laplace transform methods, resolution‐of‐the‐identity, pair natural orbitals, fast multipole, and low‐order scaling techniques. Apart from energies and structures, a variety of optical, electric, and magnetic properties are accessible from analytical energy derivatives for electronic ground and excited states. Recent additions include post‐K ohn–S ham calculations within the random phase approximation, periodic calculations, spin–orbit couplings, explicitly correlated CC singles doubles and perturbative triples methods, CC singles doubles excitation energies, and nonadiabatic molecular dynamics simulations using TDDFT. A dedicated graphical user interface and a user support network are also available. This article is categorized under: Software > Quantum Chemistry

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Metadata

Authors
Furche, F., Ahlrichs, R., Hättig, C., Klopper, W., Sierka, M., & Weigend, F.
Venue
WIREs Computational Molecular Science
Publisher
Wiley
Published
2013-07-08
Volume
4
Issue
2
Pages
91-100
ISSN
  • 1759-0876 (ISSN-L)
  • 1759-0884
OpenAlex
W3187163767
Cited by
929
References
0
FWCI
28.61
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Turbomole. https://app.cochat.ai/papers/10.1002/wcms.1162
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Furche, F., Ahlrichs, R., Hättig, C., Klopper, W., Sierka, M., & Weigend, F. (2014). Turbomole. WIREs Computational Molecular Science. https://doi.org/10.1002/wcms.1162

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