dc.contributor.author | Olsen, Jógvan Magnus Haugaard | |
dc.contributor.author | Reine, Simen Sommerfelt | |
dc.contributor.author | Vahtras, Olav | |
dc.contributor.author | Kjellgren, Erik | |
dc.contributor.author | Reinholdt, Peter | |
dc.contributor.author | Dundas, Karen O.H | |
dc.contributor.author | Li, Xin | |
dc.contributor.author | Cukras, Janusz | |
dc.contributor.author | Ringholm, Magnus | |
dc.contributor.author | Hedegård, Erik Donovan | |
dc.contributor.author | Di Remigio, Roberto | |
dc.contributor.author | List, Nanna H. | |
dc.contributor.author | Faber, Rasmus | |
dc.contributor.author | Tenorio, Bruno Nunes Cabral | |
dc.contributor.author | Bast, Radovan | |
dc.contributor.author | Pedersen, Thomas Bondo | |
dc.contributor.author | Rinkevicius, Zilvinas | |
dc.contributor.author | Sauer, Stephan P. A. | |
dc.contributor.author | Mikkelsen, Kurt V. | |
dc.contributor.author | Kongsted, Jacob | |
dc.contributor.author | Coriani, Sonia | |
dc.contributor.author | Ruud, Kenneth | |
dc.contributor.author | Helgaker, Trygve | |
dc.contributor.author | Jensen, Hans Jørgen Aa. | |
dc.contributor.author | Norman, Patrick | |
dc.date.accessioned | 2020-06-16T11:30:31Z | |
dc.date.available | 2020-06-16T11:30:31Z | |
dc.date.issued | 2020-06-05 | |
dc.description.abstract | The <i>Dalton Project</i> 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. | en_US |
dc.identifier.citation | Olsen JMH, Reine SS, Vahtras O, Kjellgren, Reinholdt P, Dundas KOH, Li X, Cukras J, Ringholm M, Hedegård ED, Di Remigio RDR, List NH, Faber R, Tenorio, Bast R, Pedersen TB, Rinkevicius Z, Sauer SPA, Mikkelsen KV, Kongsted J, Coriani S, Ruud K, Helgaker T, Jensen HJA, Norman P. Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems. Journal of Chemical Physics. 2020;152(21) | en_US |
dc.identifier.cristinID | FRIDAID 1814185 | |
dc.identifier.doi | 10.1063/1.5144298 | |
dc.identifier.issn | 0021-9606 | |
dc.identifier.issn | 1089-7690 | |
dc.identifier.uri | https://hdl.handle.net/10037/18566 | |
dc.language.iso | eng | en_US |
dc.publisher | AIP Publishing | en_US |
dc.relation.ispartof | Dundas, K.O.H.M. (2021). Vibrational spectroscopy beyond the harmonic approximation with the Polarizable Embedding model. (Doctoral thesis). <a href=https://hdl.handle.net/10037/20569>https://hdl.handle.net/10037/20569</a>. | |
dc.relation.journal | Journal of Chemical Physics | |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/FRINATEK/250743/Norway/New Dimensions in Theoretical Multiphoton Spectroscopy// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/FRINATEK/261873/Norway/Stochastic Methods for Molecular Chiroptical Properties// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/FRINATEK/274918/Norway/Response theory for advanced spectroscopic experiments// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/SFF/262695/Norway/Hylleraas Centre for Quantum Molecular Sciences// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/FRINATEK/231571/Norway/Hydrogen bond strengths for large molecules by local magnetically induced currents// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/745967/EU/Addressing metalloenzymes for clean energy production with advanced embedding schemes and quantum mechanical methods/MetEmbed/ | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/765739/EU/Training network for COmputational Spectroscopy In Natural sciences and Engineering/COSINE/ | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/279619/EU/Theoretical multiphoton spectroscopy for understanding surfaces and interfaces/SURFSPEC/ | en_US |
dc.relation.uri | http://aip.scitation.org/doi/10.1063/1.5144298 | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2020 The Author(s) | en_US |
dc.subject | VDP::Mathematics and natural science: 400::Chemistry: 440::Theoretical chemistry, quantum chemistry: 444 | en_US |
dc.subject | VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Teoretisk kjemi, kvantekjemi: 444 | en_US |
dc.title | Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |