AI Article Synopsis
- Adjoint optimization is a powerful technique for designing nanophotonic devices, helping to shape their properties effectively.
- The proposed method employs level-set techniques with b-spline surfaces to manage the minimum feature sizes during the design process.
- This approach has been successfully applied to create a wavelength demultiplexer and a nanophotonic device for artificial neural computing, demonstrating easy control over feature sizes.
Article Abstract
Adjoint optimization is an effective method in the inverse design of nanophotonic devices. In order to ensure the manufacturability, one would like to have control over the minimal feature sizes. Here we propose utilizing a level-set method based on b-spline surfaces in order to control the feature sizes. This approach is first used to design a wavelength demultiplexer. It is also used to implement a nanophotonic structure for artificial neural computing. In both cases, we show that the minimal feature sizes can be easily parameterized and controlled.
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| http://dx.doi.org/10.1364/OE.384438 | DOI Listing |
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