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dc.contributor.authorNakata, Ayako
dc.contributor.authorBaker, Jack S.
dc.contributor.authorMujahed, Shereif Y.
dc.contributor.authorPoulton, Jack T. L.
dc.contributor.authorArapan, Sergiu
dc.contributor.authorLin, Jianbo
dc.contributor.authorRaza, Zamaan
dc.contributor.authorYadav, Sushma
dc.contributor.authorTruflandier, Lionel
dc.contributor.authorMiyazaki, Tsuyoshi
dc.contributor.authorBowler, David R.
dc.date.accessioned2020-06-12T07:41:24Z
dc.date.available2020-06-12T07:41:24Z
dc.date.issued2020
dc.identifier.citationThe Journal of Chemical Physics. 2020, vol. 52, issue 16, art. no. 164112.cs
dc.identifier.issn0021-9606
dc.identifier.issn1089-7690
dc.identifier.urihttp://hdl.handle.net/10084/139519
dc.description.abstractWe survey the underlying theory behind the large-scale and linear scaling density functional theory code, conquest, which shows excellent parallel scaling and can be applied to thousands of atoms with diagonalization and millions of atoms with linear scaling. We give details of the representation of the density matrix and the approach to finding the electronic ground state and discuss the implementation of molecular dynamics with linear scaling. We give an overview of the performance of the code, focusing in particular on the parallel scaling, and provide examples of recent developments and applications.cs
dc.language.isoencs
dc.publisherAmerican Institute of Physicscs
dc.relation.ispartofseriesThe Journal of Chemical Physicscs
dc.relation.urihttp://doi.org/10.1063/5.0005074cs
dc.rightsPublished under license by AIP Publishing.cs
dc.titleLarge scale and linear scaling DFT with the CONQUEST codecs
dc.typearticlecs
dc.identifier.doi10.1063/5.0005074
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume52cs
dc.description.issue16cs
dc.description.firstpageart. no. 164112cs
dc.identifier.wos000530351800005


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