Paper 13109-83
Paper 13109-83
Topology inverse design of integrated biosensors
22 August 2024 • 11:50 AM - 12:05 PM PDT | Conv. Ctr. Room 6C
Abstract
In this work, and inspired by the multimode fiber refractive index sensors, we propose and design a refractive index sensor in a silicon-on-insulator (SOI) semiconductor structure using a complex multimode resonator. The resonator is optimized with an adjoint-based inverse design topology optimization technique using the commercial software Lumerical. We model the structure in a two-dimensional platform and the device's effective refractive index is calculated based on a suitable figure of merit. The sensor is tailored to operate within the telecommunication band, making it suitable for applications such as wearable devices for patient monitoring or detection of pathogens or toxins in environmental monitoring. The biosensor's design is optimized for maximum sensitivity to changes in the surrounding refractive index within the 1450 nm to 1650 nm wavelength range. It is also compatible with standard fabrication processes and the minimum manufacturable feature size, which is crucial for practical implementation.
Presenter
Nasim Mohammadi Estakhri
Chapman Univ. (United States)
Nasim Mohammadi Estakhri is an assistant professor of Electrical Engineering in the Fowler School of Engineering at Chapman University, with affiliation in the Physics program. Her prior academic appointments include postdoctoral researcher at Univ. of Pennsylvania and PhD researcher at Univ. of Texas at Austin. Her research broadly focuses on nanophotonic metamaterials and applied electromagnetics, with recent emphasis on computational metamaterials and machine learning for novel flat optical components. She is an associate editor for the IEEE Transactions on Antennas and Propagation and is part of the editorial advisory boards of APL Photonics and AIP Journal of Applied Physics. She has received several recognitions and funding for her research, including the ‘rising star in EECS’ by Stanford University (2017), and MIT (2018), Caltech’s EAS Young Investigator Lecturer (2019), and NSF-ERI grant.