SALMON (Scalable Ab-initio Light-Matter simulator for Optics and Nanoscience)

Suggested citations

If you publish a paper in which SALMON makes an important contribution, we suggest you to cite the following articles.

  • If you use SALMON for electron dynamics calculations of a large-size system, the following paper that discusses massively parallel implementation utilizing spatial divisions will be appropriate:
    M. Noda et.al, Massively-parallel electron dynamics calculations in real-time and real-space: toward applications to nanostructures of more than ten-nanometers in size, J. Compute. Phys., 2014, 265, 145-155.
  • if you use SALMON to calculate electron dynamics in a unit cell of crystalline solid, the following paper discussing formalism and numerical implementation will be appropriate:
    G.F. Bertsch et.al, Real-space, real-time method for the dielectric function, Phys. Rev. B62, 7998 (2000).
  • The following paper is one of the first implementations of the real-time time-dependent density functional calculation, in particular, instantaneous kick for the linear response calculations:
    K. Yabana et.al, Phys. Rev. B54, 4484 (1996).
  • If you use multiscale calculation coupling Maxwell equations for the electromagnetic fields of light and electron dynamics, the following paper discussing the formalism and the numerical implementation will be appropriate:
    K. Yabana et.al, Time-dependent density functional theory for strong electromagnetic fields in crystalline solids, Phys. Rev. B85, 045134 (2012).
  • The following paper describes parallelization method for the coupled Maxwell - TDDFT calculations:
    S.A. Sato et.al, Maxwell + TDDFT multi-scale simulation for laser-matter interaction, J. Adv. Simulat. Sci. Eng. 1, 98 (2014).
  • The following paper describes computational aspects of electron dynamics calculations for periodic systems in many-core processors:
    Y. Hirokawa et.al, Electron dynamics simulation with time-dependent density functional theory on large scale symmetric mode Xeon Phi Cluster, IEEE IPDPS Workshop PDSEC'16 (2016).