Literature DB >> 32295355

The Molpro quantum chemistry package.

Hans-Joachim Werner1, Peter J Knowles2, Frederick R Manby3, Joshua A Black1, Klaus Doll1, Andreas Heßelmann1, Daniel Kats4, Andreas Köhn1, Tatiana Korona5, David A Kreplin1, Qianli Ma1, Thomas F Miller6, Alexander Mitrushchenkov7, Kirk A Peterson8, Iakov Polyak2, Guntram Rauhut1, Marat Sibaev2.   

Abstract

Molpro is a general purpose quantum chemistry software package with a long development history. It was originally focused on accurate wavefunction calculations for small molecules but now has many additional distinctive capabilities that include, inter alia, local correlation approximations combined with explicit correlation, highly efficient implementations of single-reference correlation methods, robust and efficient multireference methods for large molecules, projection embedding, and anharmonic vibrational spectra. In addition to conventional input-file specification of calculations, Molpro calculations can now be specified and analyzed via a new graphical user interface and through a Python framework.

Year:  2020        PMID: 32295355     DOI: 10.1063/5.0005081

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


  34 in total

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

Authors:  Daniel G A Smith; Annabelle T Lolinco; Zachary L Glick; Jiyoung Lee; Asem Alenaizan; Taylor A Barnes; Carlos H Borca; Roberto Di Remigio; David L Dotson; Sebastian Ehlert; Alexander G Heide; Michael F Herbst; Jan Hermann; Colton B Hicks; Joshua T Horton; Adrian G Hurtado; Peter Kraus; Holger Kruse; Sebastian J R Lee; Jonathon P Misiewicz; Levi N Naden; Farhad Ramezanghorbani; Maximilian Scheurer; Jeffrey B Schriber; Andrew C Simmonett; Johannes Steinmetzer; Jeffrey R Wagner; Logan Ward; Matthew Welborn; Doaa Altarawy; Jamshed Anwar; John D Chodera; Andreas Dreuw; Heather J Kulik; Fang Liu; Todd J Martínez; Devin A Matthews; Henry F Schaefer; Jiří Šponer; Justin M Turney; Lee-Ping Wang; Nuwan De Silva; Rollin A King; John F Stanton; Mark S Gordon; Theresa L Windus; C David Sherrill; Lori A Burns
Journal:  J Chem Phys       Date:  2021-11-28       Impact factor: 3.488

Review 2.  NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes.

Authors:  Vsevolod D Dergachev; Mitra Rooein; Ilya D Dergachev; Aleksandr O Lykhin; Robert C Mauban; Sergey A Varganov
Journal:  Top Curr Chem (Cham)       Date:  2022-02-24

3.  MP2-F12 Basis Set Convergence near the Complete Basis Set Limit: Are h Functions Sufficient?

Authors:  Nisha Mehta; Jan M L Martin
Journal:  J Phys Chem A       Date:  2022-06-10       Impact factor: 2.944

4.  FCIQMC-Tailored Distinguishable Cluster Approach: Open-Shell Systems.

Authors:  Eugenio Vitale; Giovanni Li Manni; Ali Alavi; Daniel Kats
Journal:  J Chem Theory Comput       Date:  2022-05-06       Impact factor: 6.578

5.  Role of Dynamical Electron Correlation in the Differences in Bonding between CaAlH3 and MgAlH3.

Authors:  Fabio E Penotti; David L Cooper; Peter B Karadakov
Journal:  J Phys Chem A       Date:  2021-05-04       Impact factor: 2.944

6.  High-Level Rovibrational Calculations on Ketenimine.

Authors:  Martin Tschöpe; Benjamin Schröder; Sebastian Erfort; Guntram Rauhut
Journal:  Front Chem       Date:  2021-01-06       Impact factor: 5.221

7.  Photodissociation of dicarbon: How nature breaks an unusual multiple bond.

Authors:  Jasmin Borsovszky; Klaas Nauta; Jun Jiang; Christopher S Hansen; Laura K McKemmish; Robert W Field; John F Stanton; Scott H Kable; Timothy W Schmidt
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-28       Impact factor: 11.205

8.  Determining the hydration free energies of selected small molecules with MP2 and local MP2 through adaptive force matching.

Authors:  Dong Zheng; Ying Yuan; Feng Wang
Journal:  J Chem Phys       Date:  2021-03-14       Impact factor: 3.488

9.  Parametrizing the Spatial Dependence of 1H NMR Chemical Shifts in π-Stacked Molecular Fragments.

Authors:  Jiří Czernek; Jiří Brus
Journal:  Int J Mol Sci       Date:  2020-10-24       Impact factor: 5.923

10.  Canonical and DLPNO-Based Composite Wavefunction Methods Parametrized against Large and Chemically Diverse Training Sets. 2: Correlation-Consistent Basis Sets, Core-Valence Correlation, and F12 Alternatives.

Authors:  Emmanouil Semidalas; Jan M L Martin
Journal:  J Chem Theory Comput       Date:  2020-11-17       Impact factor: 6.006

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