The discrete dipole approximation: an overview and recent developments

By Maxim A. Yurkin, Alfons G. Hoekstra. 2007

874 citations recorded by the source corpus.

We present a review of the discrete dipole approximation (DDA), which is a general method to simulate light scattering by arbitrarily shaped particles. We put the method in historical context and discuss recent developments, taking the viewpoint of a general framework based on the integral equations for the electric field. We review both the theory of the DDA and its numerical aspects, the latter being of critical importance for any practical application of the method. Finally, the position of the DDA among other methods of light scattering simulation is shown and possible future developments are discussed.

View Paper: https://www.semanticscholar.org/paper/5c005edd79e315a343a77ba4b321a7673a82e15f

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Citations in the corpus

Optical tweezers and their applications (2018, methodology): “In the DDA method, a particle is split into a series of dipoles, each of which interacts with the incident electromagnetic wave and with the electromagnetic waves re-radiated by all the other dipoles [60, 61].”
The discrete dipole approximation for simulation of light scattering by particles much larger than the wavelength (2007, background): “5 10 < The usual formulation of DDA can be written as [2,3]:”
On the radiative properties of ice clouds: Light scattering, remote sensing, and radiation parameterization (2014, methodology): “For example, the optical properties of a sphere with a size parameter of 320 and a refractive index of 1.05 have been obtained by using the DDA with 512 processors and 698 Gb memory (Yurkin and Hoekstra, 2011).”
The discrete-dipole-approximation code ADDA: Capabilities and known limitations (2011, unknown): “A few formulations for the interaction term are known [1].”
Aerosol light absorption and its measurement: A review (2009, methodology): “The DDA is a volume-based method for homogeneous and inhomogeneous particles that was introduced by Purcell and Pennypacker [171] and has recently been reviewed by Draine and Flatau [158] and by Yurkin and Hoekstra [172].”
Fast 3-D Tomographic Microwave Imaging for Breast Cancer Detection (2012, background): “The discretization of scatterers such as biological tissues into dipoles [30]–[32] is well suited for modeling heterogeneous structures and is ideal for our configuration since each dipole, with its polarizability, represents a pixel in our images.”