The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films
We theoretically designed the Kretschmann configuration coupled plasmon-waveguide resonance (CPWR) sensors, composed of thin films of metal nitrides. The thicknesses of the layers of the CPWR sensors were optimized using a genetic algorithm. The optimized CPWR sensors were applied to simultaneously...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/9/5/332 |
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| author | Jaturong Junrear Panarit Sakunasinha Surasak Chiangga |
| author_facet | Jaturong Junrear Panarit Sakunasinha Surasak Chiangga |
| author_sort | Jaturong Junrear |
| collection | DOAJ |
| description | We theoretically designed the Kretschmann configuration coupled plasmon-waveguide resonance (CPWR) sensors, composed of thin films of metal nitrides. The thicknesses of the layers of the CPWR sensors were optimized using a genetic algorithm. The optimized CPWR sensors were applied to simultaneously measure the thickness and refractive index (RI) of diamond-like carbon (DLC) films. The field profiles and the sensitivity of the CPWR sensors in response to thin DLC films were studied using the finite-different time-domain technique and the transfer matrix method. The genetic algorithm method predicted that the two-mode CPWR sensors could simultaneously analyze the thickness and RI of the DLC films as thin as 1.0 nm at a wavelength of 1550 nm. The simulations showed that the angular sensitivity toward the refractive index changes of the DLC films of the optimized CPWR sensors was comparable to that of traditional CPWR sensors. |
| first_indexed | 2024-03-10T03:03:43Z |
| format | Article |
| id | doaj.art-6c8fbd23c4824befa8b90b8d96906d4a |
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| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-10T03:03:43Z |
| publishDate | 2022-05-01 |
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| series | Photonics |
| spelling | doaj.art-6c8fbd23c4824befa8b90b8d96906d4a2023-11-23T12:40:54ZengMDPI AGPhotonics2304-67322022-05-019533210.3390/photonics9050332The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin FilmsJaturong Junrear0Panarit Sakunasinha1Surasak Chiangga2Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandDepartment of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandDepartment of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandWe theoretically designed the Kretschmann configuration coupled plasmon-waveguide resonance (CPWR) sensors, composed of thin films of metal nitrides. The thicknesses of the layers of the CPWR sensors were optimized using a genetic algorithm. The optimized CPWR sensors were applied to simultaneously measure the thickness and refractive index (RI) of diamond-like carbon (DLC) films. The field profiles and the sensitivity of the CPWR sensors in response to thin DLC films were studied using the finite-different time-domain technique and the transfer matrix method. The genetic algorithm method predicted that the two-mode CPWR sensors could simultaneously analyze the thickness and RI of the DLC films as thin as 1.0 nm at a wavelength of 1550 nm. The simulations showed that the angular sensitivity toward the refractive index changes of the DLC films of the optimized CPWR sensors was comparable to that of traditional CPWR sensors.https://www.mdpi.com/2304-6732/9/5/332metal nitridessurface plasmon resonancethin filmscoupled plasmon waveguide resonancesensorgenetic algorithm |
| spellingShingle | Jaturong Junrear Panarit Sakunasinha Surasak Chiangga The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films Photonics metal nitrides surface plasmon resonance thin films coupled plasmon waveguide resonance sensor genetic algorithm |
| title | The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films |
| title_full | The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films |
| title_fullStr | The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films |
| title_full_unstemmed | The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films |
| title_short | The Optimization of Metal Nitride Coupled Plasmon Waveguide Resonance Sensors Using a Genetic Algorithm for Sensing the Thickness and Refractive Index of Diamond-like Carbon Thin Films |
| title_sort | optimization of metal nitride coupled plasmon waveguide resonance sensors using a genetic algorithm for sensing the thickness and refractive index of diamond like carbon thin films |
| topic | metal nitrides surface plasmon resonance thin films coupled plasmon waveguide resonance sensor genetic algorithm |
| url | https://www.mdpi.com/2304-6732/9/5/332 |
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