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Journal article

TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations

From

California State University Chico1

Case Western Reserve University2

University of North Carolina at Chapel Hill3

Institute of Nanotechnology4

University of Toronto5

Max Planck Institute for Solid State Research6

TU Kaiserslautern7

Tata Institute of Fundamental Research8

Department of Chemistry, Technical University of Denmark9

Dassault Systèmes Deutschland GmbH10

Ruhr University Bochum11

Karpov Institute of Physical Chemistry12

Institut für Analytische Chemie13

TURBOMOLE GmbH14

Max‐Planck‐Institut für Kohlenforschung15

Forschungszentrum Jülich GmbH16

...and 6 more

TURBOMOLE is a collaborative, multi-national software development project aiming to provide highly efficient and stable computational tools for quantum chemical simulations of molecules, clusters, periodic systems, and solutions. The TURBOMOLE software suite is optimized for widely available, inexpensive, and resource-efficient hardware such as multi-core workstations and small computer clusters.

TURBOMOLE specializes in electronic structure methods with outstanding accuracy-cost ratio, such as density functional theory including local hybrids and the random phase approximation (RPA), GW-Bethe-Salpeter methods, second-order Møller-Plesset theory, and explicitly correlated coupled-cluster methods.

TURBOMOLE is based on Gaussian basis sets and has been pivotal for the development of many fast and low-scaling algorithms in the past three decades, such as integral-direct methods, fast multipole methods, the resolution-of-the-identity approximation, imaginary frequency integration, Laplace transform, and pair natural orbital methods.

This review focuses on recent additions to TURBOMOLE's functionality, including excited-state methods, RPA and Green's function methods, relativistic approaches, high-order molecular properties, solvation effects, and periodic systems. A variety of illustrative applications along with accuracy and timing data are discussed.

Moreover, available interfaces to users as well as other software are summarized. TURBOMOLE's current licensing, distribution, and support model are discussed, and an overview of TURBOMOLE's development workflow is provided. Challenges such as communication and outreach, software infrastructure, and funding are highlighted.

Language: English
Publisher: AIP Publishing LLC
Year: 2020
Pages: 184107
ISSN: 10897690 and 00219606
Types: Journal article
DOI: 10.1063/5.0004635
ORCIDs: 0000-0002-0418-8472 , 0000-0002-4743-4450 , Coriani, Sonia , 0000-0002-5724-1994 , 0000-0001-8330-4226 , 0000-0002-8344-113X , 0000-0001-8520-3971 , 0000-0002-7160-2581 , 0000-0002-3633-493X , 0000-0002-5752-2710 , 0000-0002-9508-4889 , 0000-0002-3616-9671 , 0000-0001-8234-260X , 0000-0003-4471-7321 , 0000-0003-1582-2819 , 0000-0002-9593-0344 , 0000-0002-7366-2916 , 0000-0003-2951-6417 , 0000-0002-9284-327X , 0000-0001-7713-1912 , 0000-0002-1110-3393 , 0000-0002-4670-0542 , 0000-0002-5024-7998 , 0000-0002-7494-021X , 0000-0002-0319-4002 , 0000-0003-3677-4748 , 0000-0001-8153-3682 , 0000-0002-0640-0297 , 0000-0002-3220-4177 , 0000-0001-7632-3437 , 0000-0002-4887-0609 , 0000-0001-5060-1689 and 0000-0002-2270-6798

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