pyGDM swMATH ID: 38667 Software Authors: Peter R. Wiecha, Clément Majorel, Arnaud Arbouet, Adelin Patoux, Yoann Brûlé, Gérard Colas des Francs, Christian Girard Description: pyGDM is an open source python toolkit for electro-dynamical simulations. It is written in pure python and implements the Green dyadic method (GDM), a volume discretization technique, suited for single particle nano-optics simulations. pyGDM is based on simulation codes and theoretical models developed over the past 20 years by Christian Girard at CEMES (see e.g. Ch. Girard 2005 Rep. Prog. Phys. 68 1883), with contributions from G. Colas des Francs, A. Arbouet, R. Marty, P.R. Wiecha and C. Majorel. In contrast to most other coupled-dipole codes, pyGDM uses a generalized propagator, which allows to cost-efficiently treat large monochromatic problems such as angle-of-incidence scans or raster-scan simulations. pyGDM includes tools to easily derive several physical quantities such as extinction, scattering and absorption cross-sections, far-field patterns, the electric and magnetic near-field or the the decay-rate / LDOS inside and in the vicinity of a structure, or the heat dissipated by a nanoparticle. pyGDM furthermore offers a toolkit for evolutionary optimization of nanoparticle geometries: The EO module allows to automatically design nanostructures which optimize optical properties such as a certain resonance wavelength, strong field enhancement or the direction of scattering. Homepage: https://wiechapeter.gitlab.io/pyGDM2-doc/ Source Code: https://gitlab.com/wiechapeter/pyGDM2 Dependencies: Python Keywords: pyGDM; python; Physics; arXiv_physics.comp-ph; arXiv_cond-mat.mes-hall; Optics; arXiv_physics.optics; electrodynamical simulations; green dyadic method; coupled dipoles approximation; nano-optics; photonic nanostructures; nano plasmonics Related Software: Numba; MNPBEM; MEEP; Python Cited in: 1 Document Standard Articles 1 Publication describing the Software Year pyGDM - new functionalities and major improvements to the python toolkit for nano-optics full-field simulations Peter R. Wiecha, Clément Majorel, Arnaud Arbouet, Adelin Patoux, Yoann Brûlé, Gérard Colas des Francs, Christian Girard 2021 Cited by 1 Author 1 Wiecha, Peter R. Cited in 1 Serial 1 Computer Physics Communications Cited in 2 Fields 1 Optics, electromagnetic theory (78-XX) 1 Statistical mechanics, structure of matter (82-XX) Citations by Year