Meep

By Jing Ouyang1; Xufeng Wang1; Minghao Qi1

1. Purdue University

Finite-Difference Time-Domain Dimulations

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Archive Version 1.3
Published on 08 Feb 2011 All versions

doi:10.4231/D3ZK55M16 cite this

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Abstract

Meep implements the finite-difference time-domain (FDTD) method for computational electromagnetism. This is a widely used technique in which space is divided into a discrete grid and then the fields are evolved in time using discrete time steps. As the grid and the time steps are made finer and finer, this becomes a closer and closer approximation for the true continuous equations, and one can simulate many practical problems essentially exactly. Though many quantities can be calculated, major applications include transmission and reflection spectra, resonant modes and frequencies, and field pattern.

For detailed description and tutorials, please refer to: http://ab-initio.mit.edu/wiki/index.php/Meep

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References

Ardavan Farjadpour, David Roundy, Alejandro Rodriguez, Mihai Ibanescu, Peter Bermel, J. D. Joannopoulos, Steven G. Johnson, and Geoffrey Burr, "Improving accuracy by subpixel smoothing in FDTD (http://ol.osa.org/abstract.cfm?id=111338)," Optics Letters 31 (20), 2972–2974 (2006).

Cite this work

Researchers should cite this work as follows:

  • Jing Ouyang, Xufeng Wang, Minghao Qi (2016), "Meep," https://nanohub.org/resources/meep. (DOI: 10.4231/D3ZK55M16).

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