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      Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems

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          Abstract

          We explore how strategies to simulate various phenomena of electronic systems have been implemented in the Octopus code, using the versatility and performance of real-space grids.

          Abstract

          Real-space grids are a powerful alternative for the simulation of electronic systems. One of the main advantages of the approach is the flexibility and simplicity of working directly in real space where the different fields are discretized on a grid, combined with competitive numerical performance and great potential for parallelization. These properties constitute a great advantage at the time of implementing and testing new physical models. Based on our experience with the Octopus code, in this article we discuss how the real-space approach has allowed for the recent development of new ideas for the simulation of electronic systems. Among these applications are approaches to calculate response properties, modeling of photoemission, optimal control of quantum systems, simulation of plasmonic systems, and the exact solution of the Schrödinger equation for low-dimensionality systems.

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          Efficient iterative schemes forab initiototal-energy calculations using a plane-wave basis set

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            Sur une courbe, qui remplit toute une aire plane

            G Peano (1890)
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              Author and article information

              Journal
              PPCPFQ
              Physical Chemistry Chemical Physics
              Phys. Chem. Chem. Phys.
              Royal Society of Chemistry (RSC)
              1463-9076
              1463-9084
              2015
              2015
              : 17
              : 47
              : 31371-31396
              Affiliations
              [1 ]Lawrence Livermore National Laboratory
              [2 ]Livermore
              [3 ]USA
              [4 ]Department of Chemistry and Chemical Biology
              [5 ]Harvard University
              [6 ]Department of Materials Science and Engineering
              [7 ]Massachusetts Institute of Technology
              [8 ]Cambridge
              [9 ]Nano-Bio Spectroscopy Group and European Theoretical Spectroscopy Facility (ETSF)
              [10 ]Universidad del País Vasco CFM CSIC-UPV/EHU-MPC & DIPC
              [11 ]20018 Donostia-San Sebastián
              [12 ]Spain
              [13 ]Unité Nanomat
              [14 ]Département de Physique
              [15 ]Université de Liège
              [16 ]B-4000 Liège
              [17 ]Belgium
              [18 ]Dept. of Computer Architecture and Technology
              [19 ]Peter-Grünberg Institut and Institute for Advanced Simulation
              [20 ]Forschungszentrum Jülich
              [21 ]D-52425 Jülich
              [22 ]Germany
              [23 ]Atomistic Simulation Centre
              [24 ]School of Mathematics and Physics
              [25 ]Queen's University Belfast
              [26 ]Belfast BT7 1NN
              [27 ]UK
              [28 ]Center for Computational Physics
              [29 ]University of Coimbra
              [30 ]3004-516 Coimbra
              [31 ]Portugal
              [32 ]Institute for Biocomputation and Physics of Complex Systems (BIFI) and Zaragoza Center for Advanced Modeling (ZCAM)
              [33 ]University of Zaragoza
              [34 ]E-50009 Zaragoza
              [35 ]ARAID Foundation
              [36 ]Institut für Physik
              [37 ]Martin-Luther-Universität Halle-Wittenberg
              [38 ]06120 Halle (Saale)
              [39 ]Max Planck Institute for the Structure and Dynamics of Matter
              Article
              10.1039/C5CP00351B
              25721500
              599f4fff-41af-48f5-9a34-3babcc5e6d13
              © 2015
              History

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