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TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations
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, inexpe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228783/ https://www.ncbi.nlm.nih.gov/pubmed/32414256 http://dx.doi.org/10.1063/5.0004635 |
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author | Balasubramani, Sree Ganesh Chen, Guo P. Coriani, Sonia Diedenhofen, Michael Frank, Marius S. Franzke, Yannick J. Furche, Filipp Grotjahn, Robin Harding, Michael E. Hättig, Christof Hellweg, Arnim Helmich-Paris, Benjamin Holzer, Christof Huniar, Uwe Kaupp, Martin Marefat Khah, Alireza Karbalaei Khani, Sarah Müller, Thomas Mack, Fabian Nguyen, Brian D. Parker, Shane M. Perlt, Eva Rappoport, Dmitrij Reiter, Kevin Roy, Saswata Rückert, Matthias Schmitz, Gunnar Sierka, Marek Tapavicza, Enrico Tew, David P. van Wüllen, Christoph Voora, Vamsee K. Weigend, Florian Wodyński, Artur Yu, Jason M. |
author_facet | Balasubramani, Sree Ganesh Chen, Guo P. Coriani, Sonia Diedenhofen, Michael Frank, Marius S. Franzke, Yannick J. Furche, Filipp Grotjahn, Robin Harding, Michael E. Hättig, Christof Hellweg, Arnim Helmich-Paris, Benjamin Holzer, Christof Huniar, Uwe Kaupp, Martin Marefat Khah, Alireza Karbalaei Khani, Sarah Müller, Thomas Mack, Fabian Nguyen, Brian D. Parker, Shane M. Perlt, Eva Rappoport, Dmitrij Reiter, Kevin Roy, Saswata Rückert, Matthias Schmitz, Gunnar Sierka, Marek Tapavicza, Enrico Tew, David P. van Wüllen, Christoph Voora, Vamsee K. Weigend, Florian Wodyński, Artur Yu, Jason M. |
author_sort | Balasubramani, Sree Ganesh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7228783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-72287832020-05-29 TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations Balasubramani, Sree Ganesh Chen, Guo P. Coriani, Sonia Diedenhofen, Michael Frank, Marius S. Franzke, Yannick J. Furche, Filipp Grotjahn, Robin Harding, Michael E. Hättig, Christof Hellweg, Arnim Helmich-Paris, Benjamin Holzer, Christof Huniar, Uwe Kaupp, Martin Marefat Khah, Alireza Karbalaei Khani, Sarah Müller, Thomas Mack, Fabian Nguyen, Brian D. Parker, Shane M. Perlt, Eva Rappoport, Dmitrij Reiter, Kevin Roy, Saswata Rückert, Matthias Schmitz, Gunnar Sierka, Marek Tapavicza, Enrico Tew, David P. van Wüllen, Christoph Voora, Vamsee K. Weigend, Florian Wodyński, Artur Yu, Jason M. J Chem Phys ARTICLES 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. AIP Publishing LLC 2020-05-14 2020-05-13 /pmc/articles/PMC7228783/ /pubmed/32414256 http://dx.doi.org/10.1063/5.0004635 Text en © 2020 Author(s). 0021-9606/2020/152(18)/184107/36/$0.00 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | ARTICLES Balasubramani, Sree Ganesh Chen, Guo P. Coriani, Sonia Diedenhofen, Michael Frank, Marius S. Franzke, Yannick J. Furche, Filipp Grotjahn, Robin Harding, Michael E. Hättig, Christof Hellweg, Arnim Helmich-Paris, Benjamin Holzer, Christof Huniar, Uwe Kaupp, Martin Marefat Khah, Alireza Karbalaei Khani, Sarah Müller, Thomas Mack, Fabian Nguyen, Brian D. Parker, Shane M. Perlt, Eva Rappoport, Dmitrij Reiter, Kevin Roy, Saswata Rückert, Matthias Schmitz, Gunnar Sierka, Marek Tapavicza, Enrico Tew, David P. van Wüllen, Christoph Voora, Vamsee K. Weigend, Florian Wodyński, Artur Yu, Jason M. TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title | TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title_full | TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title_fullStr | TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title_full_unstemmed | TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title_short | TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations |
title_sort | turbomole: modular program suite for ab initio quantum-chemical and condensed-matter simulations |
topic | ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228783/ https://www.ncbi.nlm.nih.gov/pubmed/32414256 http://dx.doi.org/10.1063/5.0004635 |
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