TY - JOUR

T1 - Capabilities of ADDA code for nanophotonics

AU - Yurkin, M. A.

AU - Smunev, D. A.

AU - Akhmetyanova, A. E.

AU - Glukhova, S. A.

PY - 2020/4/23

Y1 - 2020/4/23

N2 - The open-source code ADDA is based on the discrete dipole approximation (DDA) - a numerically exact method derived from the frequency-domain volume-integral Maxwell equation. It can simulate interaction of electromagnetic fields (scattering and absorption) with finite 3D objects of arbitrary shape and composition. Besides standard sequential execution on CPU or GPU, ADDA can run on a multiprocessor distributed-memory system, parallelizing a single DDA calculation. This together with almost linear scaling of computational complexity with number of dipoles (discretization voxels) allows large system sizes and/or fine discretization levels. ADDA is written in C99 and is highly portable. It provides full control over the scattering geometry (particle morphology and orientation, incident beam) and allows one to calculate a wide variety of integral and angle-resolved quantities, including those related to point-dipole excitation. Moreover, ADDA can rigorously and efficiently account for plane homogeneous substrate near the particle, and employ rectangular-cuboid voxels. It also incorporates a range of state-of-the-art DDA improvements, increasing both the accuracy and computational speed of the method. At the conference we will describe the main features of current version of ADDA with special emphasis on nanoparticles and present several simulation examples.

AB - The open-source code ADDA is based on the discrete dipole approximation (DDA) - a numerically exact method derived from the frequency-domain volume-integral Maxwell equation. It can simulate interaction of electromagnetic fields (scattering and absorption) with finite 3D objects of arbitrary shape and composition. Besides standard sequential execution on CPU or GPU, ADDA can run on a multiprocessor distributed-memory system, parallelizing a single DDA calculation. This together with almost linear scaling of computational complexity with number of dipoles (discretization voxels) allows large system sizes and/or fine discretization levels. ADDA is written in C99 and is highly portable. It provides full control over the scattering geometry (particle morphology and orientation, incident beam) and allows one to calculate a wide variety of integral and angle-resolved quantities, including those related to point-dipole excitation. Moreover, ADDA can rigorously and efficiently account for plane homogeneous substrate near the particle, and employ rectangular-cuboid voxels. It also incorporates a range of state-of-the-art DDA improvements, increasing both the accuracy and computational speed of the method. At the conference we will describe the main features of current version of ADDA with special emphasis on nanoparticles and present several simulation examples.

KW - DISCRETE DIPOLE APPROXIMATION

KW - CONVERGENCE

KW - SCATTERING

KW - LIGHT

UR - http://www.scopus.com/inward/record.url?scp=85084126455&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1461/1/012197

DO - 10.1088/1742-6596/1461/1/012197

M3 - Conference article

AN - SCOPUS:85084126455

VL - 1461

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012197

T2 - 4th International Conference on Metamaterials and Nanophotonics, METANANO 2019

Y2 - 15 July 2019 through 19 July 2019

ER -