Literature DB >> 34852489

Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs.

Daniel G A Smith1, Annabelle T Lolinco2, Zachary L Glick3, Jiyoung Lee2, Asem Alenaizan3, Taylor A Barnes1, Carlos H Borca3, Roberto Di Remigio4, David L Dotson5, Sebastian Ehlert6, Alexander G Heide7, Michael F Herbst8, Jan Hermann9, Colton B Hicks10, Joshua T Horton11, Adrian G Hurtado12, Peter Kraus13, Holger Kruse14, Sebastian J R Lee15, Jonathon P Misiewicz7, Levi N Naden1, Farhad Ramezanghorbani16, Maximilian Scheurer17, Jeffrey B Schriber3, Andrew C Simmonett18, Johannes Steinmetzer19, Jeffrey R Wagner5, Logan Ward20, Matthew Welborn1, Doaa Altarawy1, Jamshed Anwar11, John D Chodera21, Andreas Dreuw17, Heather J Kulik22, Fang Liu22, Todd J Martínez10, Devin A Matthews23, Henry F Schaefer7, Jiří Šponer14, Justin M Turney7, Lee-Ping Wang24, Nuwan De Silva2, Rollin A King25, John F Stanton26, Mark S Gordon27, Theresa L Windus27, C David Sherrill3, Lori A Burns3.   

Abstract

Community efforts in the computational molecular sciences (CMS) are evolving toward modular, open, and interoperable interfaces that work with existing community codes to provide more functionality and composability than could be achieved with a single program. The Quantum Chemistry Common Driver and Databases (QCDB) project provides such capability through an application programming interface (API) that facilitates interoperability across multiple quantum chemistry software packages. In tandem with the Molecular Sciences Software Institute and their Quantum Chemistry Archive ecosystem, the unique functionalities of several CMS programs are integrated, including CFOUR, GAMESS, NWChem, OpenMM, Psi4, Qcore, TeraChem, and Turbomole, to provide common computational functions, i.e., energy, gradient, and Hessian computations as well as molecular properties such as atomic charges and vibrational frequency analysis. Both standard users and power users benefit from adopting these APIs as they lower the language barrier of input styles and enable a standard layout of variables and data. These designs allow end-to-end interoperable programming of complex computations and provide best practices options by default.

Entities:  

Year:  2021        PMID: 34852489      PMCID: PMC8614229          DOI: 10.1063/5.0059356

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  36 in total

1.  Toward subchemical accuracy in computational thermochemistry: focal point analysis of the heat of formation of NCO and [H,N,C,O] isomers.

Authors:  Michael S Schuurman; Steven R Muir; Wesley D Allen; Henry F Schaefer
Journal:  J Chem Phys       Date:  2004-06-22       Impact factor: 3.488

2.  Interfacing the Ab initio multiple spawning method with electronic structure methods in GAMESS: Photodecay of trans-azomethane.

Authors:  Alexander Gaenko; Albert DeFusco; Sergey A Varganov; Todd J Martínez; Mark S Gordon
Journal:  J Phys Chem A       Date:  2014-11-06       Impact factor: 2.781

3.  CrystaLattE: Automated computation of lattice energies of organic crystals exploiting the many-body expansion to achieve dual-level parallelism.

Authors:  Carlos H Borca; Brandon W Bakr; Lori A Burns; C David Sherrill
Journal:  J Chem Phys       Date:  2019-10-14       Impact factor: 3.488

4.  New Basis Set Exchange: An Open, Up-to-Date Resource for the Molecular Sciences Community.

Authors:  Benjamin P Pritchard; Doaa Altarawy; Brett Didier; Tara D Gibson; Theresa L Windus
Journal:  J Chem Inf Model       Date:  2019-10-24       Impact factor: 4.956

5.  A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.

Authors:  Stefan Grimme; Jens Antony; Stephan Ehrlich; Helge Krieg
Journal:  J Chem Phys       Date:  2010-04-21       Impact factor: 3.488

6.  Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics.

Authors:  Ivan S Ufimtsev; Todd J Martinez
Journal:  J Chem Theory Comput       Date:  2009-08-25       Impact factor: 6.006

7.  TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations.

Authors:  Sree Ganesh Balasubramani; Guo P Chen; Sonia Coriani; Michael Diedenhofen; Marius S Frank; Yannick J Franzke; Filipp Furche; Robin Grotjahn; Michael E Harding; Christof Hättig; Arnim Hellweg; Benjamin Helmich-Paris; Christof Holzer; Uwe Huniar; Martin Kaupp; Alireza Marefat Khah; Sarah Karbalaei Khani; Thomas Müller; Fabian Mack; Brian D Nguyen; Shane M Parker; Eva Perlt; Dmitrij Rappoport; Kevin Reiter; Saswata Roy; Matthias Rückert; Gunnar Schmitz; Marek Sierka; Enrico Tapavicza; David P Tew; Christoph van Wüllen; Vamsee K Voora; Florian Weigend; Artur Wodyński; Jason M Yu
Journal:  J Chem Phys       Date:  2020-05-14       Impact factor: 3.488

8.  Geometry optimization made simple with translation and rotation coordinates.

Authors:  Lee-Ping Wang; Chenchen Song
Journal:  J Chem Phys       Date:  2016-06-07       Impact factor: 4.304

9.  ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost.

Authors:  J S Smith; O Isayev; A E Roitberg
Journal:  Chem Sci       Date:  2017-02-08       Impact factor: 9.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.