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Journal Articles INTERNATIONAL JOURNAL OF NUMERICAL MODELLING: ELECTRONIC NETWORKS, DEVICES AND FIELDS Year : 2016

GPU-based solution of nonlinear Maxwell’s equations for inhomogeneous dispersive media

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Anton Rudenko
Tatiana Itina

Abstract

A new approach is developed for fast solution of complex dynamic problems in nonlinear optics. The model is based on the nonlinear Maxwell’s equations coupled with time-dependent electron density equation. The approach is based on the Finite-Difference Time-Domain (FDTD) and the auxiliary differential equation (ADE) methods for frequency-dependent Drude media with a time-dependent carrier density, changing due to Kerr, photoionization, avalanche and recombination effects. The system of nonlinear Maxwell-Ampere equations is solved by an iterative fixed-point procedure. The proposed approach is shown to remain stable even for complex nonlinear media and strong gradient fields. Graphics-processing-units (GPU) technique is implemented by using an efficient algorithm enabling solution of massively three-dimensional problems within reasonable computation time.
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Dates and versions

ujm-01378828 , version 1 (10-10-2016)

Identifiers

  • HAL Id : ujm-01378828 , version 1

Cite

Anton Rudenko, Jean-Philippe Colombier, Tatiana Itina. GPU-based solution of nonlinear Maxwell’s equations for inhomogeneous dispersive media. INTERNATIONAL JOURNAL OF NUMERICAL MODELLING: ELECTRONIC NETWORKS, DEVICES AND FIELDS, 2016. ⟨ujm-01378828⟩
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