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simulation tool based on the rigorous coupled-wave analysis (rcwa) method diffractmod  (Rsoft Inc)

 
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    Rsoft Inc simulation tool based on the rigorous coupled-wave analysis (rcwa) method diffractmod
    Simulation Tool Based On The Rigorous Coupled Wave Analysis (Rcwa) Method Diffractmod, supplied by Rsoft Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rcwa+simulation+tool/full+wave+simulation+tool/pm27295572-56-6-18
    Average 90 stars, based on 1 article reviews
    simulation tool based on the rigorous coupled-wave analysis (rcwa) method diffractmod - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: Photonic Crystal Enhancement of a Homogeneous Fluorescent Assay using Submicron Fluid Channels Fabricated by E-jet Patterning
    Article Snippet: A commercially available simulation tool for RCWA (DIFFRACTMOD, RSoft) was used to characterize the device response to an incident transverse magnetic (TM) illumination source at λ=637nm.

    Article Title: Photonic crystal enhancement of a homogeneous fluorescent assay using submicron fluid channels fabricated by E-jet patterning.
    Article Snippet: A commercially available simulation tool for RCWA (DIFFRACTMOD, RSoft) was used to characterize the device response to an incident transverse magnetic (TM) illumination source at l 1⁄4 637 nm.

    Article Title: Enhanced Extraction of Silicon-Vacancy Centers Light Emission Using Bottom-Up Engineered Polycrystalline Diamond Photonic Crystal Slabs.
    Article Snippet: Silicon vacancy (SiV) centers are optically active defects in diamond.. The SiV centers, in contrast to nitrogen vacancy (NV) centers, possess narrow and e cient luminescence spectrum (centered at ≈ 738 nm) even at room temperature, which can be utilized for quantum photonics and sensing applications.. However, most of light generated in diamond is trapped in the material due to the phenomenon of total internal re ection.

    Software:

    Article Title: Tunable resonance-domain diffraction gratings based on electrostrictive polymers
    Article Snippet: Critical combination of high diffraction efficiency and large diffraction angles can be delivered by resonancedomain diffractive optics with high aspect ratio and wavelength-scale grating periods.. To advance from static to electrically tunable resonance-domain diffraction grating, we resorted to its replication onto 2–5 μm thick P(VDF-TrFE-CFE) electrostrictive ter-polymer membranes.. Electromechanical and optical computer simulations provided higher than 90% diffraction efficiency, a large continuous deflection range exceeding 20°, and capabilities for adiabatic spatial modulation of the grating period and slant.

    Article Title: Optical absorption enhancement of hybrid-plasmonic-based metal-semiconductor-metal photodetector incorporating metal nanogratings and embedded metal nanoparticles
    Article Snippet: 21, No. 2 / OPTICS EXPRESS 1720 dioxide (SiO2), germanium (Ge) and amorphous silicon (a-Si). .. These simulation results were obtained using Rsoft (RCWA simulation) software [22,27]. ..

    Article Title: Grating-Based Surface Plasmon Resonance Sensor for Visible Light Employing a Metal/Semiconductor Junction for Electrical Readout
    Article Snippet: In this study, we proposed an electrical readout surface plasmon resonance (SPR) chemical sensor coupled with visible light to avoid significant light absorption of water.. A gold (Au) diffraction grating with a submicrometer pitch, designed using the rigorous coupled-wave analysis (RCWA) method to have a submicrometer pitch and 30-nm-tall Au grating, was fabricated on an n-type silicon (n-Si) substrate by nanofabrication/microfabrication.. The hot electrons generated by SPR on the grating are converted to photocurrent at the Schottky barrier at the Au/n-Si interface.



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    Principle of the coupled modeling approach (CMA). RCWA is applied to the parts of the structure where nanotextures are present to produce scattering matrices. These matrices are an input for the RT and TMM part of the simulator. By applying iterative coupling, the optical situation in the region of nanostructures, microstructures, thin and thick layers can be simulated in an effective and accurate way.

    Journal: Beilstein Journal of Nanotechnology

    Article Title: Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

    doi: 10.3762/bjnano.9.216

    Figure Lengend Snippet: Principle of the coupled modeling approach (CMA). RCWA is applied to the parts of the structure where nanotextures are present to produce scattering matrices. These matrices are an input for the RT and TMM part of the simulator. By applying iterative coupling, the optical situation in the region of nanostructures, microstructures, thin and thick layers can be simulated in an effective and accurate way.

    Article Snippet: For the purpose of further integration and adaptation, we developed and verified our own RCWA simulation tool in MATLAB, following the physics described above.

    Techniques:

    The top and cross-sectional views of the simulated partial structures, applied to the front part of the solar cell. (a, b) simulated top views of inverted pyramid and random pyramid textures. (c, d) Corresponding cross-sectional views, including thin layers as present in the front part of the analyzed solar cell (not seen in (d)). The pixilation observable in the thin layers in c) is a result of sublayer discretization in RCWA (100 equivalently thick sublayers for the texture are shown). In a), the area of the pyramid is marked with red square, while area of the unit cell is marked with a green square. The PF factor, defined by the ratio of these two areas, is 0.7.

    Journal: Beilstein Journal of Nanotechnology

    Article Title: Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

    doi: 10.3762/bjnano.9.216

    Figure Lengend Snippet: The top and cross-sectional views of the simulated partial structures, applied to the front part of the solar cell. (a, b) simulated top views of inverted pyramid and random pyramid textures. (c, d) Corresponding cross-sectional views, including thin layers as present in the front part of the analyzed solar cell (not seen in (d)). The pixilation observable in the thin layers in c) is a result of sublayer discretization in RCWA (100 equivalently thick sublayers for the texture are shown). In a), the area of the pyramid is marked with red square, while area of the unit cell is marked with a green square. The PF factor, defined by the ratio of these two areas, is 0.7.

    Article Snippet: For the purpose of further integration and adaptation, we developed and verified our own RCWA simulation tool in MATLAB, following the physics described above.

    Techniques:

    Analysis of the RCWA convergence for the nanoscale textures. All graphs on the left hand side correspond to the results of the variation in the number of sublayers with a fixed number of modes (ten modes) whereas the right hand side graphs represent the results of the variation in the number of mode with a fixed number of sublayers (300 sublayers). The top two graphs (a, b) correspond to an incident angle of 0° whereas the middle two (c, d) are for the incident angle of 45°. The bottom two graphs (e, f) quantify deviations between RCWA results using the |Δ J SC | measure.

    Journal: Beilstein Journal of Nanotechnology

    Article Title: Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

    doi: 10.3762/bjnano.9.216

    Figure Lengend Snippet: Analysis of the RCWA convergence for the nanoscale textures. All graphs on the left hand side correspond to the results of the variation in the number of sublayers with a fixed number of modes (ten modes) whereas the right hand side graphs represent the results of the variation in the number of mode with a fixed number of sublayers (300 sublayers). The top two graphs (a, b) correspond to an incident angle of 0° whereas the middle two (c, d) are for the incident angle of 45°. The bottom two graphs (e, f) quantify deviations between RCWA results using the |Δ J SC | measure.

    Article Snippet: For the purpose of further integration and adaptation, we developed and verified our own RCWA simulation tool in MATLAB, following the physics described above.

    Techniques:

    Analysis of RCWA convergence for micrometer-sized textures. Left hand side graphs correspond to the results of variation of the number of sublayers with a fixed number of modes, while the right hand side graphs correspond to the results of variation of the number of modes with a fixed number of sublayers. The top two graphs (a, b) show visual pyramidal texture convergence with number of sublayers and modes. Graphs (c) and (d) quantify the difference between the RCWA results using the |Δ J SC | measure.

    Journal: Beilstein Journal of Nanotechnology

    Article Title: Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

    doi: 10.3762/bjnano.9.216

    Figure Lengend Snippet: Analysis of RCWA convergence for micrometer-sized textures. Left hand side graphs correspond to the results of variation of the number of sublayers with a fixed number of modes, while the right hand side graphs correspond to the results of variation of the number of modes with a fixed number of sublayers. The top two graphs (a, b) show visual pyramidal texture convergence with number of sublayers and modes. Graphs (c) and (d) quantify the difference between the RCWA results using the |Δ J SC | measure.

    Article Snippet: For the purpose of further integration and adaptation, we developed and verified our own RCWA simulation tool in MATLAB, following the physics described above.

    Techniques:

    Simulated absorptances in the c-Si layer of the HJ Si solar cell using RCWA, RT/TMM (CROWM simulator) and CMA. Comparison between RCWA and RT/TMM is shown in (a). (b) RT/TMM and CMA simulations of the solar cell with a nanotexture with PF 1. Corresponding J SC values calculated from the absorptance curves are listed in .

    Journal: Beilstein Journal of Nanotechnology

    Article Title: Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

    doi: 10.3762/bjnano.9.216

    Figure Lengend Snippet: Simulated absorptances in the c-Si layer of the HJ Si solar cell using RCWA, RT/TMM (CROWM simulator) and CMA. Comparison between RCWA and RT/TMM is shown in (a). (b) RT/TMM and CMA simulations of the solar cell with a nanotexture with PF 1. Corresponding J SC values calculated from the absorptance curves are listed in .

    Article Snippet: For the purpose of further integration and adaptation, we developed and verified our own RCWA simulation tool in MATLAB, following the physics described above.

    Techniques: Comparison