> Details

Epifanovsky, Evgeny; Gilbert, Andrew T. B.; Feng, Xintian; Lee, Joonho; Mao, Yuezhi; Mardirossian, Narbe; Pokhilko, Pavel; White, Alec F.; Coons, Marc P.; Dempwolff, Adrian L.; Gan, Zhengting; Hait, Diptarka; Horn, Paul R.; Jacobson, Leif D.; Kaliman, Ilya; Kussmann, Jörg; Lange, Adrian W.; Lao, Ka Un; Levine, Daniel S.; Liu, Jie; McKenzie, Simon C.; Morrison, Adrian F.; Nanda, Kaushik D.; Plasser, Felix; [...]

Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

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  • Media type: E-Article
  • Title: Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package
  • Contributor: Epifanovsky, Evgeny; Gilbert, Andrew T. B.; Feng, Xintian; Lee, Joonho; Mao, Yuezhi; Mardirossian, Narbe; Pokhilko, Pavel; White, Alec F.; Coons, Marc P.; Dempwolff, Adrian L.; Gan, Zhengting; Hait, Diptarka; Horn, Paul R.; Jacobson, Leif D.; Kaliman, Ilya; Kussmann, Jörg; Lange, Adrian W.; Lao, Ka Un; Levine, Daniel S.; Liu, Jie; McKenzie, Simon C.; Morrison, Adrian F.; Nanda, Kaushik D.; Plasser, Felix; [...]
  • imprint: AIP Publishing, 2021
  • Published in: The Journal of Chemical Physics
  • Language: English
  • DOI: 10.1063/5.0055522
  • ISSN: 0021-9606; 1089-7690
  • Origination:
  • Footnote:
  • Description: <jats:p>This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange–correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear–electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an “open teamware” model and an increasingly modular design.</jats:p>