Finite-difference time-domain simulations

Drezek, R., Dunn, A., and Richards-Kortum, R., Light scattering from cells finite-difference time-domain simulations and goniometric measurements, Appl. Opt., 38, 1999, 3651-3661. 

Fujita, M. and Baba, T., 2001, Proposal and finite-difference time-domain simulation of WG mode microgear cavity, IEEE J. Quantum Electron. 37(10) 1253-1258. 

Finite Different Time Domain Simulations (FDTD)... 

F. L. Teixeira, W. C. Chew, M. Straka, M. L. Oristaglio, and T. Wang, Finite-difference time-domain simulation of ground penetrating radar on dispersive, inhomogeneous, and conductive soils, IEEE Trans. Geosci. Remote Sens., vol. 36, no. 6, pp. 1928—1937, Nov. 1998.doi 10.1109/36.729364... 

A. Dunn, C. Smithpeter, A. J. Welch and R. Richards-Kortum, Finite-difference time-domain simulation of light scattering from sta c [Pg.76]

R. Drezek, A. Dunn, and R. Richards-Kortum, Light Scattering from Cells Finite-Difference Time-Domain Simulations and Goniometric Measurements, Appl. Opt., vol. 38, no. 16, 1999, pp. 3651-3661. 

Ala, G., P. L. Buccheri, P. Romano, and F. Viola. 2008. Finite difference time domain simulation of earth electrodes soil ionisation under lightning surge condition. lETSci. Meas. Technol. 2(3) 134-145. 

Titus, C. M., P. J. Bos, J. R. Kelly, and E. C. Gartland. 1999. Comparison of analytical calculations to finite-difference time-domain simulations of one-dimensional spatially varying anisotropic liquid crystal structures. Jpn. J. Appl Phys., Part 1. 38 1488. 

Key words sUicon-on-insulator (SOI), sub-wavelength waveguide grating, grating mirror, finite-difference time-domain (FDTD), numerical simulations, CMOS... 

Krug, J.T., E.J. Sanchez, and X.S. Xie. 2002. Design of near-field optical probes with optimal field enhancement by finite difference time domain electromagnetic simulation. 7. Chem. Phys. 116 10895-10901. 

From preprint servers 319 Ward, D. W. Nelson, K. A. Finite Difference Time Domain (FDTD) Simulations of Electromagnetic Wave Propagation Using a Spreadsheet. 2004,arXiv physics/0402096.arXiv.org e-Print archive, http //arxiv.org/abs/physics/0402096 (accessed Oct 13,2004). 

Figure 1. Current Nanoscale Optofluidic Sensor Arrays, (a) 3D rendering of the NOSA device, (b) 3D rendering after association of the corresponding antibody to the antigen immobilized resonator, (c) Experimental data illustrating the successful detection of 45 pg/ml of anti-streptavidin antibody. The blue trace shows the initial baseline spectrum corresponding to Fig. la where the first resonator is immobilized with streptavidin. The red trace shows the test spectra after the association of anti-streptavidin. (d) Finite difference time domain (FDTD) simulation of the steady state electric field distribution within the 1-D photonic crystal resonator at the resonant wavelength, (e) SEM image demonstrating the two-dimensional multiplexing capability of the NOSA architecture.

To further the quantitative understanding of the interplay between quenching and spontaneous emission modification and their respective distance dependence, Bian, Dunn, Xie and Leung ran numerical simulations of the experiments [25]. They employed a finite-difference time-domain (FDTD) model on a 2-D lattice, represented in Fig. 16. Results are displayed in Fig. 17 for horizontally and vertically oriented dipoles and for probe-sample gaps of 6 and 24 nm. The computed results show the reversal of lifetime behavior in going from small to large gaps for horizontal dipoles. 

Figure 16. Schematic for finite-difference, time-domain (FDTD) calculations of fluorescent molecule behavior in near-field microscopy. The aperture diameter is 96 nm. The calculation is performed on a two-dimensional 300 x 300 grid of 1.2 nm square cells. The arrangement of f,-, and H points are shown in the zoom-in inset. A horizontal point dipole is placed at the center of the cell with the four surrounding H. points driven sinusoidally in the simulation. Molecular emission characteristics are evaluated as a function of the lateral displacement d and the tip molecule gap h. Adapted from Ref. 25.

To verify this quadrupole-dipole transform mechanism brought about by shape-engineered nanostructures, we numerically calculated the surface charge distributions induced in the nanostructures and their associated far-field radiation based on a finite-difference time-domain (FDTD) electromagnetic simulator (Poyntingfor Optics, a product of Fujitsu, Japan). Figure 2.4a schematically represents the design... 

The Mie theory [1] and the T-matrix method [4] are very efficient for (multilayered) spheres and axisymmetric particles (with moderate aspect ratios), respectively. Several methods, applicable to particles of arbitrary shapes, have been used in plasmonic simulations the boundary element method (BEM) [5, 6], the DDA [7-9], the finite-difference time-domain method (FDTD) [10, 11], the finite element method (FEM] [12,13], the finite integration technique (FIT) [14] and the null-field method with discrete sources (NFM-DS) [15,16]. There is also quasi-static approximation for spheroids [12], but it is not discussed here. 

Insight into the mechanism for the fluorescence enhancement from these arrays comes from comparison of the measured dependence on spatial period with that of the square of the local field. Guo et al. [24] carried out simulations of the latter using the finite-difference time domain (FDTD) method, illustrated in Fig. 7.6. 

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