pyGDM -- a Python toolkit for full-field electro-dynamical simulations and evolutionary optimization of nanostructures

DOI10.1016/j.cpc.2018.06.017arXiv1802.04071OpenAlexW2786894959WikidataQ123029423 ScholiaQ123029423MaRDI QIDQ6155425

Peter R. Wiecha

Publication date: 12 June 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1802.04071

zbMATH Keywords

nano-opticscoupled dipoles approximationelectrodynamical simulationsGreen dyadic methodnano plasmonicsphotonic nanostructures

Mathematics Subject Classification ID

Optics, electromagnetic theory (78-XX) Statistical mechanics, structure of matter (82-XX)

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Cites Work

• \texttt{MEEP}: a flexible free-software package for electromagnetic simulations by the FDTD method
• Complex conjugate gradient methods
• A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting
• An overview of SuperLU
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