| Literature DB >> 32505165 |
Jógvan Magnus Haugaard Olsen1, Simen Reine2, Olav Vahtras3, Erik Kjellgren4, Peter Reinholdt4, Karen Oda Hjorth Dundas1, Xin Li3, Janusz Cukras5, Magnus Ringholm1, Erik D Hedegård6, Roberto Di Remigio1, Nanna H List7, Rasmus Faber8, Bruno Nunes Cabral Tenorio8, Radovan Bast1, Thomas Bondo Pedersen2, Zilvinas Rinkevicius3, Stephan P A Sauer9, Kurt V Mikkelsen9, Jacob Kongsted4, Sonia Coriani8, Kenneth Ruud1, Trygve Helgaker2, Hans Jørgen Aa Jensen4, Patrick Norman3.
Abstract
The Dalton Project provides a uniform platform access to the underlying full-fledged quantum chemistry codes Dalton and LSDalton as well as the PyFraME package for automatized fragmentation and parameterization of complex molecular environments. The platform is written in Python and defines a means for library communication and interaction. Intermediate data such as integrals are exposed to the platform and made accessible to the user in the form of NumPy arrays, and the resulting data are extracted, analyzed, and visualized. Complex computational protocols that may, for instance, arise due to a need for environment fragmentation and configuration-space sampling of biochemical systems are readily assisted by the platform. The platform is designed to host additional software libraries and will serve as a hub for future modular software development efforts in the distributed Dalton community.Year: 2020 PMID: 32505165 DOI: 10.1063/1.5144298
Source DB: PubMed Journal: J Chem Phys ISSN: 0021-9606 Impact factor: 3.488