4.7 Article

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

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 155, Issue 8, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0055522

Keywords

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Funding

  1. SBIR grants from the National Institutes of Health [R43GM096678, R43GM121126, R43GM126804, R43GM128480, R43GM133270, R44GM076847, R44GM081928, R44GM084555, R44GM121126, R44GM128480]
  2. Department of Energy [DE-SC0011297, DE-SC0021568]
  3. Department of Defense [W911NF-14-P-0032, W911NF-16C0124, W911NF-19-C0048]
  4. Department of Energy
  5. National Science Foundation
  6. Army Research Office

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This article summarizes the technical advances in the fifth major release of the Q-Chem quantum chemistry program package, which includes developments since 2015. Q-Chem 5 features a variety of new many-body methods, core-level spectroscopy modeling tools, vibronic spectrum calculation methods, high-performance capabilities, and support for multithreaded parallelism. The software is continuously evolving with the support of an open teamware model and increasingly modular design, backed by a community of over 100 active academic developers.
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.

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