Journal of Chemical Physics, volume 152, issue 7, pages 74107

The MRCC program system: Accurate quantum chemistry from water to proteins

M. Kállay 1
Peter Nagy 1
Zoltán Rolik 1
Gyula Samu 1
József Csontos 1
József Csóka 1
P Bernát Szabó 1
László Gyevi Nagy 1
Bence Hégely 1
István Ladjánszki 1
Lóránt Szegedy 1
Bence Ladóczki 1
Klára Petrov 1
Máté Farkas 1
Pál D Mezei 1
Ádám Ganyecz 1
Show full list: 17 authors
Publication typeJournal Article
Publication date2020-02-20
scimago Q1
SJR1.101
CiteScore7.4
Impact factor3.1
ISSN00219606, 10897690
Physical and Theoretical Chemistry
General Physics and Astronomy
Abstract

MRCC is a package of ab initio and density functional quantum chemistry programs for accurate electronic structure calculations. The suite has efficient implementations of both low- and high-level correlation methods, such as second-order Møller–Plesset (MP2), random-phase approximation (RPA), second-order algebraic-diagrammatic construction [ADC(2)], coupled-cluster (CC), configuration interaction (CI), and related techniques. It has a state-of-the-art CC singles and doubles with perturbative triples [CCSD(T)] code, and its specialties, the arbitrary-order iterative and perturbative CC methods developed by automated programming tools, enable achieving convergence with regard to the level of correlation. The package also offers a collection of multi-reference CC and CI approaches. Efficient implementations of density functional theory (DFT) and more advanced combined DFT-wave function approaches are also available. Its other special features, the highly competitive linear-scaling local correlation schemes, allow for MP2, RPA, ADC(2), CCSD(T), and higher-order CC calculations for extended systems. Local correlation calculations can be considerably accelerated by multi-level approximations and DFT-embedding techniques, and an interface to molecular dynamics software is provided for quantum mechanics/molecular mechanics calculations. All components of MRCC support shared-memory parallelism, and multi-node parallelization is also available for various methods. For academic purposes, the package is available free of charge.

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