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Zahariev F, Xu P, Westheimer BM, Webb S, Galvez Vallejo J, Tiwari A, Sundriyal V, Sosonkina M, Shen J, Schoendorff G, Schlinsog M, Sattasathuchana T, Ruedenberg K, Roskop LB, Rendell AP, Poole D, Piecuch P, Pham BQ, Mironov V, Mato J, Leonard S, Leang SS, Ivanic J, Hayes J, Harville T, Gururangan K, Guidez E, Gerasimov IS, Friedl C, Ferreras KN, Elliott G, Datta D, Cruz DDA, Carrington L, Bertoni C, Barca GMJ, Alkan M, Gordon MS. The General Atomic and Molecular Electronic Structure System (GAMESS): Novel Methods on Novel Architectures. J Chem Theory Comput 2023; 19:7031-7055. [PMID: 37793073 DOI: 10.1021/acs.jctc.3c00379] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
The primary focus of GAMESS over the last 5 years has been the development of new high-performance codes that are able to take effective and efficient advantage of the most advanced computer architectures, both CPU and accelerators. These efforts include employing density fitting and fragmentation methods to reduce the high scaling of well-correlated (e.g., coupled-cluster) methods as well as developing novel codes that can take optimal advantage of graphical processing units and other modern accelerators. Because accurate wave functions can be very complex, an important new functionality in GAMESS is the quasi-atomic orbital analysis, an unbiased approach to the understanding of covalent bonds embedded in the wave function. Best practices for the maintenance and distribution of GAMESS are also discussed.
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Affiliation(s)
- Federico Zahariev
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Peng Xu
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Bryce M Westheimer
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Simon Webb
- VeraChem LLC, 12850 Middlebrook Road, Suite 205, Germantown, Maryland 20874-5244, United States
| | - Jorge Galvez Vallejo
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
- Research School of Computer Science, Australian National University, Canberra, ACT 2601, Australia
| | - Ananta Tiwari
- EP Analytics, Inc., 9909 Mira Mesa Boulevard, Suite 230, San Diego, California 92131, United States
| | - Vaibhav Sundriyal
- Department of Computational Modeling and Simulation Engineering, Old Dominion University, Norfolk, Virginia 23529, United States
| | - Masha Sosonkina
- Department of Computational Modeling and Simulation Engineering, Old Dominion University, Norfolk, Virginia 23529, United States
| | - Jun Shen
- Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
| | - George Schoendorff
- Propellants Branch, Rocket Propulsion Division, Aerospace Systems Directorate, Air Force Research Laboratory, AFRL/RQRP, Edwards Air Force Base, California 93524, United States
| | - Megan Schlinsog
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Tosaporn Sattasathuchana
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Klaus Ruedenberg
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Luke B Roskop
- Hewlett-Packard Enterprise, 2131 Lindau Lane #1000, Bloomington, Minnesota 55425, United States
| | | | - David Poole
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
- School of Chemistry & Biochemistry, Georgia Institute of Technology, Athens, Georgia 30332, United States
| | - Piotr Piecuch
- Department of Chemistry and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, United States
| | - Buu Q Pham
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Vladimir Mironov
- Department of Chemistry, Kyungpook National University, Daegu 41566, South Korea
| | - Joani Mato
- Physical Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MS K1-83, Richland, Washington 99352, United States
| | - Sam Leonard
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Sarom S Leang
- EP Analytics, Inc., 9909 Mira Mesa Boulevard, Suite 230, San Diego, California 92131, United States
| | - Joe Ivanic
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, United States
| | - Jackson Hayes
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Taylor Harville
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Karthik Gururangan
- Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
| | - Emilie Guidez
- Department of Chemistry, University of Colorado Denver, Denver, Colorado 80217, United States
| | - Igor S Gerasimov
- Department of Chemistry, Kyungpook National University, Daegu 41566, South Korea
| | - Christian Friedl
- Institut für Theoretische Physik, Johannes Kepler Universität Linz, Altenberger Str. 69, 4040 Linz, Austria
| | - Katherine N Ferreras
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - George Elliott
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Dipayan Datta
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Daniel Del Angel Cruz
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Laura Carrington
- EP Analytics, Inc., 9909 Mira Mesa Boulevard, Suite 230, San Diego, California 92131, United States
| | - Colleen Bertoni
- Argonne Leadership Computing Facility, Argonne National Laboratory, Lemont, Illinois 60439, United States
| | - Giuseppe M J Barca
- Research School of Computer Science, Australian National University, Canberra, ACT 2601, Australia
| | - Melisa Alkan
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
| | - Mark S Gordon
- Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50014, United States
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Park JW, Al-Saadon R, MacLeod MK, Shiozaki T, Vlaisavljevich B. Multireference Electron Correlation Methods: Journeys along Potential Energy Surfaces. Chem Rev 2020; 120:5878-5909. [PMID: 32239929 DOI: 10.1021/acs.chemrev.9b00496] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Multireference electron correlation methods describe static and dynamical electron correlation in a balanced way and, therefore, can yield accurate and predictive results even when single-reference methods or multiconfigurational self-consistent field theory fails. One of their most prominent applications in quantum chemistry is the exploration of potential energy surfaces. This includes the optimization of molecular geometries, such as equilibrium geometries and conical intersections and on-the-fly photodynamics simulations, both of which depend heavily on the ability of the method to properly explore the potential energy surface. Because such applications require nuclear gradients and derivative couplings, the availability of analytical nuclear gradients greatly enhances the scope of quantum chemical methods. This review focuses on the developments and advances made in the past two decades. A detailed account of the analytical nuclear gradient and derivative coupling theories is presented. Emphasis is given to the software infrastructure that allows one to make use of these methods. Notable applications of multireference electron correlation methods to chemistry, including geometry optimizations and on-the-fly dynamics, are summarized at the end followed by a discussion of future prospects.
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Affiliation(s)
- Jae Woo Park
- Department of Chemistry, Chungbuk National University, Chungdae-ro 1, Cheongju 28644, Korea
| | - Rachael Al-Saadon
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - Matthew K MacLeod
- Workday, 4900 Pearl Circle East, Suite 100, Boulder, Colorado 80301, United States
| | - Toru Shiozaki
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States.,Quantum Simulation Technologies, Inc., 625 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Bess Vlaisavljevich
- Department of Chemistry, University of South Dakota, 414 East Clark Street, Vermillion, South Dakota 57069, United States
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Datta D, Gauss J. Accurate Prediction of Hyperfine Coupling Tensors for Main Group Elements Using a Unitary Group Based Rigorously Spin-Adapted Coupled-Cluster Theory. J Chem Theory Comput 2019; 15:1572-1592. [PMID: 30698956 DOI: 10.1021/acs.jctc.8b01048] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We present the development of a perturbative triples correction scheme for the previously reported unitary group based spin-adapted combinatoric open-shell coupled-cluster (CC) singles and doubles (COS-CCSD) approach and report on the applications of the newly developed method, termed "COS-CCSD(T)", to the calculation of hyperfine coupling (HFC) tensors for radicals consisting of hydrogen, second- and third-row elements. The COS-CCSD(T) method involves a single noniterative step with [Formula: see text] scaling of the computational cost for the calculation of triples corrections to the energy. The key feature of this development is the use of spatial semicanonical orbitals generated from standard restricted open-shell Hartree-Fock (ROHF) orbitals, which allows the unperturbed Hamiltonian operator to be defined in terms of a diagonal spin-free Fock operator. The HFC tensors are computed as a first-order property via implementation of an analytic derivative scheme. The required one-particle spin density matrix is computed by using one- and two-particle spin-free density matrices that are obtained from the analytic derivative implementation, in this way avoiding the use of any spin-dependent operator and maintaining spin adaptation of the CC wavefunction. Benchmark calculations of HFC tensors for a set of 21 radicals indicate reasonably good agreement of the COS-CCSD(T) results with experiment and a consistent improvement over the COS-CCSD method. We demonstrate that the accuracies of the isotropic hyperfine coupling constants obtained in unrestricted HF (UHF) reference based spin-orbital CCSD(T) calculations deteriorate when spin contamination in the UHF wavefunction is large, and the results may even become qualitatively incorrect when spin polarization is the driving mechanism. Within a similar noniterative perturbative treatment of triple excitations, the spin-adapted COS-CCSD(T) approach produces accurate results, thus ensuring cost-effectiveness together with reliability.
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Affiliation(s)
- Dipayan Datta
- Institut für Physikalische Chemie , Johannes Gutenberg-Universität Mainz , Duesbergweg 10-14 , 55128 Mainz , Germany
| | - Jürgen Gauss
- Institut für Physikalische Chemie , Johannes Gutenberg-Universität Mainz , Duesbergweg 10-14 , 55128 Mainz , Germany
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