journal article·2022-08

Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heaters

Zhuoran Fang, Rui Chen, Jiajiu Zheng, Asir Intisar Khan, Kathryn M. Neilson, Sarah J. Geiger, Dennis M. Callahan, Michael G. Moebius, Abhi Saxena, Michelle E. Chen, Carlos Rios, Juejun Hu, Eric Pop, Arka Majumdar

Nature Nanotechnology· Volume 17· Issue 8
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Abstract

Silicon photonics is evolving from laboratory research to real-world applications with the potential to transform many technologies, including optical neural networks and quantum information processing. A key element for these applications is a reconfigurable switch operating at ultra-low programming energy-a challenging proposition for traditional thermo-optic or free carrier switches. Recent advances in non-volatile programmable silicon photonics based on phase-change materials (PCMs) provide an attractive solution to energy-efficient photonic switches with zero static power, but the programming energy density remains high (hundreds of attojoules per cubic nanometre). Here we demonstrate a non-volatile electrically reconfigurable silicon photonic platform leveraging a monolayer graphene heater with high energy efficiency and endurance. In particular, we show a broadband switch based on the technologically mature PCM Ge2Sb2Te5 and a phase shifter employing the emerging low-loss PCM Sb2Se3. The graphene-assisted photonic switches exhibited an endurance of over 1,000 cycles and a programming energy density of 8.7 ± 1.4 aJ nm-3, that is, within an order of magnitude of the PCM thermodynamic switching energy limit (~1.2 aJ nm-3) and at least a 20-fold reduction in switching energy compared with the state of the art. Our work shows that graphene is a reliable and energy-efficient heater compatible with dielectric platforms, including Si3N4, for technologically relevant non-volatile programmable silicon photonics.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Neural Networks and Reservoir Computing · Photonic and Optical Devices · Phase-change materials and chalcogenides

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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