/ Inverse design of photonic integrated components for biosensing

Inverse design of photonic integrated components for biosensing

Leuven | More than two weeks ago

Computational design of integrated photonic components for medical applications

Photonic integrated biosensors have proven to be excellent sensors, promising advantages in size, cost, and speed for miniaturized next-generation medical devices. These waveguide-based biosensors harness the interaction of light with proteins, DNA or cells and detect changes in refractive index, absorption spectrum, scattering and fluorescence. To realize highly sensitive photonic biosensors, it is necessary that individual photonic components are optimally designed for their functionally. Currently, nanophotonic components are mainly designed and optimized by tuning a small number of parameters (e.g., waveguide widths and gaps, hole sizes etc.) around an analytical solution. Recently, fully automated methods for photonic integrated component design were introduced. In these so-called “inverse design” methods, the desired input/output parameters and geometrical boundaries are used as an input to algorithms such as gradient descent optimization. At the end of the optimization process, the geometry of desired device is computed, which may yield smaller footprint, broader bandwidth, optimized transmission, and sharper filters.

In the scope of this thesis, the student will apply inverse design methods to design and simulate photonic integrated components operating in the visible range. These components will be fluorescence filters, splitters, waveguide crossings and grating couplers. During the design process, the student will deepen his/her photonic integrated circuit design knowledge and master the widely used integrated photonics design package Lumerical. The work will also include some Matlab and Python scripting.

 

Integrated

 

Type of project: Thesis

Duration: 9 months

Required degree: Master of Engineering Technology, Master of Science

Required background: Nanoscience & Nanotechnology, Physics, Electrotechnics/Electrical Engineering

Supervising scientist(s): For further information or for application, please contact: Gunay Yurtsever (Gunay.Yurtsever@imec.be)

Only for self-supporting students.