4.7 Article

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

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 152, Issue 18, Pages -

Publisher

AMER INST PHYSICS
DOI: 10.1063/5.0004635

Keywords

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Funding

  1. Fonds der Chemischen Industrie (FCI, German Chemical Industry Fund)
  2. DFG [KA1187/14-1, PE 2506/2-1, CRC 1176, HA 2588/8-1]
  3. U.S. National Science Foundation [CHE-1800431]
  4. U.S. Department of Energy, Office of Basic Energy Sciences [DE-SC0018352]
  5. TURBOMOLE GmbH [TG-205178]
  6. Regents' Dissertation Fellowship of University of California, Irvine
  7. U.S. National Science Foundation
  8. A. O. Beckman Postdoctoral Fellowship - Arnold and Mabel Beckman Foundation
  9. Independent Research Fund Denmark (DFF-RP2) [7014-00258B]
  10. Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation)
  11. FCI
  12. Deutscher Akademischer Austauschdienst (DAAD, German Academic Exchange Serivce) [57438025]
  13. Polish Ministry of Science and Higher Education [1317/1/MOB/IV/2015/0]
  14. Studienstiftung des deutschen Volkes
  15. National Institute of General Medical Sciences of the National Institutes of Health (NIH) [R15GM126524]
  16. TURBOMOLE GmbH
  17. DFG within the Collaborative Research Center (CRC) 1375 [398816777]
  18. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [EXC 2033 - 390677874 -RESOLV]
  19. DFG within the Priority Program SPP 1807 [HA 2588/10-1]
  20. [HA 2588/5-2]
  21. U.S. Department of Energy (DOE) [DE-SC0018352] Funding Source: U.S. Department of Energy (DOE)

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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 Moller-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. (c) 2020 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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