Tuning silicon-rich nitride microring resonances with graphene capacitors for high-performance computing applications

Abstract

We demonstrate the potential of a graphene capacitor structure on silicon-richnitride micro-ring resonators for multitasking operations within high performance computing.Capacitor structures formed by two graphene sheets separated by a 10 nm insulating siliconnitride layer are considered. Hybrid integrated photonic structures are then designed to exploitthe electro-absorptive operation of the graphene capacitor to tuneably control the transmissionand attenuation of different wavelengths of light. By tuning the capacitor length, a shift in theresonant wavelength is produced giving rise to a broadband multilevel photonic volatile memory.The advantages of using silicon-rich nitride as the waveguiding material in place of the moreconventional silicon nitride (Si3N4) are shown, with a doubling of the device’s operationalbandwidth from 31.2 to 62.41 GHz achieved while also allowing a smaller device footprint.A systematic evaluation of the device’s performance and energy consumption is presented.A difference in the extinction ratio between the ON and OFF states of 16.5 dB and energyconsumptions of<0.3 pJ/bit are obtained. Finally, it has been demonstrated that increasing thepermittivity of the insulator layer in the capacitor structure, the energy consumption per bit canbe reduced even further. Overall, the resonance tuning enabled by the novel graphene capacitormakes it a key component for future multilevel photonic memories and optical routing in highperformance computing.