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Combining Embedded Mean-Field Theory with Linear-Scaling Density-Functional Theory.
Prentice, Joseph C A; Charlton, Robert J; Mostofi, Arash A; Haynes, Peter D.
Afiliação
  • Prentice JCA; Department of Materials, Department of Physics, and the Thomas Young Centre for Theory and Simulation of Materials , Imperial College London , London SW7 2AZ , United Kingdom.
  • Charlton RJ; Department of Materials, Department of Physics, and the Thomas Young Centre for Theory and Simulation of Materials , Imperial College London , London SW7 2AZ , United Kingdom.
  • Mostofi AA; Department of Materials, Department of Physics, and the Thomas Young Centre for Theory and Simulation of Materials , Imperial College London , London SW7 2AZ , United Kingdom.
  • Haynes PD; Department of Materials, Department of Physics, and the Thomas Young Centre for Theory and Simulation of Materials , Imperial College London , London SW7 2AZ , United Kingdom.
J Chem Theory Comput ; 16(1): 354-365, 2020 Jan 14.
Article em En | MEDLINE | ID: mdl-31765137
ABSTRACT
We demonstrate the capability of embedded mean-field theory (EMFT) within the linear-scaling density-functional-theory code ONETEP, which enables DFT-in-DFT quantum embedding calculations on systems containing thousands of atoms at a fraction of the cost of a full calculation. We perform simulations on a wide range of systems from molecules to complex nanostructures to demonstrate the performance of our implementation with respect to accuracy and efficiency. This work paves the way for the application of this class of quantum embedding method to large-scale systems that are beyond the reach of existing implementations.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article