1
|
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.
Collapse
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
| |
Collapse
|
3
|
Altun A, Neese F, Bistoni G. Open-Shell Variant of the London Dispersion-Corrected Hartree-Fock Method (HFLD) for the Quantification and Analysis of Noncovalent Interaction Energies. J Chem Theory Comput 2022; 18:2292-2307. [PMID: 35167304 PMCID: PMC9009084 DOI: 10.1021/acs.jctc.1c01295] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
The London dispersion
(LD)-corrected Hartree–Fock (HF) method
(HFLD) is an ab initio approach for the quantification
and analysis of noncovalent interactions (NCIs) in large systems that
is based on the domain-based local pair natural orbital coupled-cluster
(DLPNO-CC) theory. In the original HFLD paper, we discussed the implementation,
accuracy, and efficiency of its closed-shell variant. Herein, an extension
of this method to open-shell molecular systems is presented. Its accuracy
is tested on challenging benchmark sets for NCIs, using CCSD(T) energies
at the estimated complete basis set limit as reference. The HFLD scheme
was found to be as accurate as the best-performing dispersion-corrected
exchange-correlation functionals, while being nonempirical and equally
efficient. In addition, it can be combined with the well-established
local energy decomposition (LED) for the analysis of NCIs, thus yielding
additional physical insights.
Collapse
Affiliation(s)
- Ahmet Altun
- Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, D-45470 Mülheim an der Ruhr, Germany
| | - Frank Neese
- Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, D-45470 Mülheim an der Ruhr, Germany
| | - Giovanni Bistoni
- Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, D-45470 Mülheim an der Ruhr, Germany.,Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
| |
Collapse
|
6
|
Garcı́a JS, Brémond É, Campetella M, Ciofini I, Adamo C. Small Basis Set Allowing the Recovery of Dispersion Interactions with Double-Hybrid Functionals. J Chem Theory Comput 2019; 15:2944-2953. [DOI: 10.1021/acs.jctc.8b01203] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Juan Sanz Garcı́a
- Chimie ParisTech, PSL Research University, CNRS, Institute of Chemistry for Life and Health Sciences, 11, rue Pierre et Marie Curie, F-75005 Paris, France
| | - Éric Brémond
- Univ Paris Diderot, Sorbonne Paris Cité, ITODYS, UMR CNRS 7086, 15 rue J.-A. de Baïf, F-75013 Paris, France
| | - Marco Campetella
- Chimie ParisTech, PSL Research University, CNRS, Institute of Chemistry for Life and Health Sciences, 11, rue Pierre et Marie Curie, F-75005 Paris, France
| | - Ilaria Ciofini
- Chimie ParisTech, PSL Research University, CNRS, Institute of Chemistry for Life and Health Sciences, 11, rue Pierre et Marie Curie, F-75005 Paris, France
| | - Carlo Adamo
- Chimie ParisTech, PSL Research University, CNRS, Institute of Chemistry for Life and Health Sciences, 11, rue Pierre et Marie Curie, F-75005 Paris, France
- Institut Universitaire de France, 103 Boulevard Saint Michel, F-75005 Paris, France
| |
Collapse
|
9
|
Goerigk L, Sharma R. The INV24 test set: how well do quantum-chemical methods describe inversion and racemization barriers? CAN J CHEM 2016. [DOI: 10.1139/cjc-2016-0290] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
For years, there has been ongoing interest in experimentally and theoretically understanding inversion and racemization processes. However, to the best of our knowledge, there has been no computational study that systematically investigated how well low-level quantum-chemical methods predict inversion barriers. Herein, we provide an answer to this question and we present the INV24 benchmark set of 24 high-level, ab initio inversion barriers. INV24 covers inversion in triatomics, in pyramidal molecules, in one cyclic system, and in various helical and bowl-shaped compounds. Our results indicate that previously applied DFT approximations combined with small basis sets are not reliable enough and that at least a triple-ζ basis is needed for meaningful results. Moreover, we show that intramolecular London dispersion influences the barriers by 2 kcal/mol or more and that dispersion corrections should always be applied to DFT results. With our analysis of 34 DFT approximations, we can reproduce the well-known Jacob’s Ladder scheme with (meta-)generalized-gradient-approximation methods underestimating barriers and global-hybrid DFT functionals performing better. Range-separated hybrids or Minnesota-type hybrids are not particularly superior to more conventional methods, such as B3LYP-D3. The by far best results are achieved with dispersion-corrected double hybrids, which give results below the chemical accuracy target of 1 kcal/mol. They also outperform wave-function second-order perturbation theory approaches and we recommend using them whenever possible. Given that our systematic study of INV24 is the first of its kind, our findings have the potential to change common practice in this field and they will guide future investigations of inversion processes.
Collapse
Affiliation(s)
- Lars Goerigk
- School of Chemistry, The University of Melbourne, Victoria 3010, Australia
| | - Rahul Sharma
- School of Chemistry, The University of Melbourne, Victoria 3010, Australia
| |
Collapse
|
11
|
de Lima Batista AP, Zahariev F, Slowing II, Braga AAC, Ornellas FR, Gordon MS. Silanol-Assisted Carbinolamine Formation in an Amine-Functionalized Mesoporous Silica Surface: Theoretical Investigation by Fragmentation Methods. J Phys Chem B 2015; 120:1660-9. [PMID: 26670797 DOI: 10.1021/acs.jpcb.5b08446] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The aldol reaction catalyzed by an amine-substituted mesoporous silica nanoparticle (amine-MSN) surface was investigated using a large molecular cluster model (Si392O958C6NH361) combined with the surface integrated molecular orbital/molecular mechanics (SIMOMM) and fragment molecular orbital (FMO) methods. Three distinct pathways for the carbinolamine formation, the first step of the amine-catalyzed aldol reaction, are proposed and investigated in order to elucidate the role of the silanol environment on the catalytic capability of the amine-MSN material. The computational study reveals that the most likely mechanism involves the silanol groups actively participating in the reaction, forming and breaking covalent bonds in the carbinolamine step. Therefore, the active participation of MSN silanol groups in the reaction mechanism leads to a significant reduction in the overall energy barrier for the carbinolamine formation. In addition, a comparison between the findings using a minimal cluster model and the Si392O958C6NH361 cluster suggests that the use of larger models is important when heterogeneous catalysis problems are the target.
Collapse
Affiliation(s)
- Ana P de Lima Batista
- Departamento de Química Fundamental, Instituto de Química , São Paulo, São Paulo 05508-000, Brazil
| | - Federico Zahariev
- Ames Laboratory and Department of Chemistry, Iowa State University , Ames, Iowa 50011, United States
| | - Igor I Slowing
- Ames Laboratory and Department of Chemistry, Iowa State University , Ames, Iowa 50011, United States
| | - Ataualpa A C Braga
- Departamento de Química Fundamental, Instituto de Química , São Paulo, São Paulo 05508-000, Brazil
| | - Fernando R Ornellas
- Departamento de Química Fundamental, Instituto de Química , São Paulo, São Paulo 05508-000, Brazil
| | - Mark S Gordon
- Ames Laboratory and Department of Chemistry, Iowa State University , Ames, Iowa 50011, United States
| |
Collapse
|