Abstract
This work presents a computationally efficient Transmission Matrix Model (TMM) for designing silicon nitride grating couplers in integrated flow cytometers. The TMM achieves a four to five orders-of-magnitude speed increase over Finite Difference Time Domain (FDTD) simulations, enabling fast, large-scale optimization. Incorporated into a Bayesian Optimization scheme, the TMM allows for optimization of transient Peak-to-Baseline (P2B) by the tuning of uniform and apodized grating configurations. A P2B transmission of 0.1389 is achieved for an optimized uniform grating and 0.2210 for a linearly apodized grating. Related Research Topics
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