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dc.date.accessioned2020-08-14T18:13:14Z
dc.date.available2020-08-14T18:13:14Z
dc.date.created2020-06-06T15:50:40Z
dc.date.issued2020
dc.identifier.citationOlsen, Jógvan Magnus Haugaard Reine, Simen Sommerfelt Vahtras, Olav Kjellgren, Erik Reinholdt, Peter Dundas, Karen O.H Li, Xin Cukras, Janusz Ringholm, Magnus Hedegård, Erik Donovan Di Remigio, Roberto List, Nanna H. Faber, Rasmus Tenorio, Bruno Nunes Cabral Bast, Radovan Pedersen, Thomas Bondo Rinkevicius, Zilvinas Sauer, Stephan P. A. Mikkelsen, Kurt V. Kongsted, Jacob Coriani, Sonia Ruud, Kenneth Helgaker, Trygve Jensen, Hans Jørgen Aa. Norman, Patrick . Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems. Journal of Chemical Physics. 2020, 152(21)
dc.identifier.urihttp://hdl.handle.net/10852/78360
dc.description.abstractThe 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.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems
dc.typeJournal article
dc.creator.authorOlsen, Jógvan Magnus Haugaard
dc.creator.authorReine, Simen Sommerfelt
dc.creator.authorVahtras, Olav
dc.creator.authorKjellgren, Erik
dc.creator.authorReinholdt, Peter
dc.creator.authorDundas, Karen O.H
dc.creator.authorLi, Xin
dc.creator.authorCukras, Janusz
dc.creator.authorRingholm, Magnus
dc.creator.authorHedegård, Erik Donovan
dc.creator.authorDi Remigio, Roberto
dc.creator.authorList, Nanna H.
dc.creator.authorFaber, Rasmus
dc.creator.authorTenorio, Bruno Nunes Cabral
dc.creator.authorBast, Radovan
dc.creator.authorPedersen, Thomas Bondo
dc.creator.authorRinkevicius, Zilvinas
dc.creator.authorSauer, Stephan P. A.
dc.creator.authorMikkelsen, Kurt V.
dc.creator.authorKongsted, Jacob
dc.creator.authorCoriani, Sonia
dc.creator.authorRuud, Kenneth
dc.creator.authorHelgaker, Trygve
dc.creator.authorJensen, Hans Jørgen Aa.
dc.creator.authorNorman, Patrick
cristin.unitcode185,15,12,59
cristin.unitnameTeoretisk kjemi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1814185
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Chemical Physics&rft.volume=152&rft.spage=&rft.date=2020
dc.identifier.jtitleJournal of Chemical Physics
dc.identifier.volume152
dc.identifier.issue21
dc.identifier.doihttps://doi.org/10.1063/1.5144298
dc.identifier.urnURN:NBN:no-81474
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0021-9606
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/78360/2/Olsen%2Bet%2Bal.%2B-%2B2020%2B-%2BDalton%2BProject%2BA%2BPython%2Bplatform%2Bfor%2Bmolecular-%2Band%2Belectronic-structure%2Bsimulations%2Bof%2Bcomplex%2Bsystems.pdf
dc.type.versionPublishedVersion
cristin.articleid214115
dc.relation.projectNOTUR/NORSTORE/NN4654K
dc.relation.projectNFR/231571
dc.relation.projectNFR/274918
dc.relation.projectNFR/262695
dc.relation.projectNFR/261873
dc.relation.projectNFR/250743


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