Comparison of electromagnetic field solvers for the 3D analysis of plasmonic nanoantennas

Hoffmann, Johannes; Hafner, Christian; Leidenberger, Patrick; Hesselbarth, Jan; Burger, Sven

doi:10.1117/12.828036

Cited by 53 publications

(41 citation statements)

References 13 publications

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“…However, such solutions are not available for the models considered here. The finite element solver JCMsuite has been compared to other simulation methods and proved good convergence to exact solutions Hoffmann et al (2009). Therefore we assume that we have reached a quasi-exact solution for a finite element degree of 5, which corresponds to the largest simulation we are able to carry out on a high-performance computer.…”

Section: Compel 334mentioning

confidence: 99%

Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling

Blome

McPeak²,

Burger³

et al. 2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -The purpose of this paper is to find an optimized thin-film amorphous silicon solar cell design by numerically optimizing the light trapping efficiency of a pyramid-structured back-reflector using a frequency-domain finite element Maxwell solver. For this purpose short circuit current densities and absorption spectra within the investigated solar cell model are systematically analyzed. Furthermore, the authors employ a topology simulation method to accurately predict the material layer interfaces within the investigated solar cell model. The method simulates the chemical vapor deposition (CVD) process that is typically used to fabricate thin-film solar cells by combining a ballistic transport and reaction model (BTRM) with a level-set method in an iterative approach. Predicted solar cell models are far more realistic compared to solar cell models created assuming conformal material growth. The purpose of the topology simulation method is to increase the accuracy of thin-film solar cell models in order to facilitate highly accurate simulation results in solar cell design optimizations. Design/methodology/approach -The authors perform numeric optimizations using a frequency domain finite element Maxwell solver. Topology simulations are carried out using a BTRM combined with a level-set method in an iterative fashion. Findings -The simulation results reveal that the employed pyramid structured back-reflectors effectively increase the light path in the absorber mainly by exciting photonic waveguide modes. In using the optimization approach, the authors have identified solar cell models with cell periodicities around 480 nm and pyramid base widths around 450 nm to yield the highest short circuit current densities. Compared to equivalent solar cell models with flat back-reflectors, computed short circuit current densities are significantly increased. Furthermore, the paper finds that the solar cell models computed using the topology simulation approach represent a far more realistic approximation to a real solar cell stack compared to solar cell models computed by a conformal material growth assumption.Research limitations/implications -So far in the topology simulation approach the authors assume CVD as the material deposition process for all material layers. However, during the fabrication process sputtering (i.e. physical vapor deposition) will be employed for the Al:ZnO and ITO layers.The current issue and full text archive of this journal is available atThe research presented here is the result of a multi-disciplinary, collaborative project headed by K.M. McPeak (OMEL, ETH Zü rich). Special thanks go to Larry C. Musson from Sandia National Laboratories for helping with the topology simulations. In addition to the authors of this paper, the project relies on the work and contributions of: T.S. Cale (Process Evolution Ltd.), N. Wyrsch (EPFL, Lausanne) and M. Hojeij, Y. Ekinci (Paul Scherrer Institut). Furthermore the authors acknowledge funding by the DFG Research Center Matheon in the context of project D2...

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Section: Compel 334mentioning

confidence: 99%

Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling

Blome

McPeak²,

Burger³

et al. 2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Self Cite

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“…In [44] Hoffmann et al consider a single plasmonic topology, a pair of Au spheres, and analyze this structure with several electromagnetic field solvers: COMSOL Multiphysics (FEM), JCMsuite (FEM), HFSS (FEM), and CST Microwave Studio (the FEM solver available in the Studio is used, not the flagship FDTD solver). The output parameter considered is the electric field strength in between the two spheres.…”

Section: Benchmarking In Literaturementioning

confidence: 99%

Computational Electromagnetics in Plasmonics

Vandenbosch¹

2012

Plasmonics - Principles and Applications

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“…Levitation forces are computed by Ansoft Maxwell based on Maxwell's equations in differential form [14].…”

Section: The Finite Element Modelsmentioning

confidence: 99%

Levitation force analysis of medium and low speed maglev vehicles

Liu

Yin

2012

J. Mod. Transport.

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Abstract:The rule of levitation force variation with different structure and electromagnetic parameters provides a basis for electromagnet design of electromagnetic suspension (EMS) medium and low speed maglev vehicles. In order to acquire accurate calculation results of levitation force, different calculation methods, including analytical method, 2D FEM (finite element method), and 3D FEM, are applied to investigate the impact of various structural parameters, such as excitation current, air gap, lateral offset, and pole width, on levitation force. The analytical analysis is based on the classic mathematical model of levitation force between electromagnet and rail and performed with MATLAB. In the 2D and 3D FEMs, the numerical calculation of the levitation force is conducted with Ansoft by taking the magnetic saturation into account. In addition, the longitudinal end effect on the levitation force calculation is considered in the 3D FEM. The results show that the 3D FEM is the most accurate among the above three methods for calculating the levitation force, and the analytical method can only work for small current and/or large air gap conditions. A lateraloffset between vehicle and rail will reduce the levitation force; the levitation force descends sharply once the lateral offset exceeds the threshold, i.e., 8% of the pole width for U-shaped electromagnets. The maximum lift-to-weight ratio emerges when the pole width ratio of F type rail to electromagnet is 6:7. This may offer a reference for EMS maglev vehicle design and application.

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Comparison of electromagnetic field solvers for the 3D analysis of plasmonic nanoantennas

Cited by 53 publications

References 13 publications

Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling

Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling

Computational Electromagnetics in Plasmonics

Levitation force analysis of medium and low speed maglev vehicles

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