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The continuous growth in data volume has sparked interest insilicon-organic-hybrid (SOH) nanophotonic devices integrated into siliconphotonic integrated circuits (PICs). SOH devices offer improved speed andenergy efficiency. However, a comprehensive and accurate modeling methodologyfor SOH devices, with corroborating experimental results, is lacking. While afew preliminary modeling approaches for SOH devices exist, their dependence ontheoretical and numerical methodologies, along with a lack of compatibilitywith electronic design automation (EDA), hinders their seamless, rapid, andcost-effective integration with silicon photonic integrated circuits (PICs).Here, we develop a phenomenological, building-block-based SOH PICs simulationmethodology, from physics to system level, offering high accuracy,comprehensiveness, and EDA-style compatibility. Our model is also readilyintegrable and scalable, lending itself to the design of large-scale siliconPICs. Our modeling methodology is agnostic and compatible with anyphotonics-electronics co-simulation software. We validate our methodology bycomparing the experimentally demonstrated SOH microring modulators (MRMs) andMach Zehnder modulators (MZMs) with simulation results, also showing itsability to model various modulator topologies. We demonstrate our methodology'sease, speed, and low computational cost in modeling large-scale systems thoughdesign and simulation of a 3-channel SOH MRM-based wavelength-division(de)multiplexer (WDM) as a showcase example. WDM is a widely used component invarious applications, including neuromorphic computing, data centerinterconnects, and sensing. Our modeling approach is compatible with othermaterials exhibiting the Pockels and Kerr effects. To our knowledge, thisrepresents the first comprehensive physics-to-system-level EDA-compatiblesimulation methodology for SOH modulators.

Design Methodology for Silicon Organic Hybrid Modulators: From Physics to System-level Modeling