Nature Communications · 2025 · 12 citations · 47 references
EngineeringMaterials EngineeringMaterials SciencePhotonicsSemiconductor DevicesSemiconductor MaterialsIntegrated OpticsIntegrated PhotonicsMicrostructure ControlOptical SwitchingPhase ChangePhotonic Integrated CircuitsNucleation DynamicsNucleation KineticsPhase-change MaterialsPhotonic SwitchesSilicon-on-insulator ProcessingSilicon-on-insulator TechnologyThermal Effects In Photonic DevicesThermo-optic Switching
Nonvolatile photonic integrated circuits employing phase change materials have relied either on optical switching with precise multi-level control but poor scalability or electrical switching with seamless integration and scalability but mostly limited to a binary response. The main limitation of the latter is relying on stochastic nucleation, since its random nature hinders the repeatability of multi-level states. Here, we show engineered waveguide-integrated microheaters to achieve precise spatial control of the temperature profile (i.e., hotspot) and, thus, switch deterministic areas of an embedded phase change material. We experimentally demonstrate this concept using a variety of foundry-processed doped-silicon microheaters on a silicon-on-insulator platform featuring Sb2Se3 or Ge2Sb2Se4Te and achieve 27 cycles with 7 repeatable levels each. We further characterize the microheaters’ response using Transient Thermoreflectance Imaging. Our microstructure engineering concept demonstrates the evasive repeatable multi-levels employing a single microheater device, which is necessary for robust and energy-efficient reprogrammable phase change photonics in analog processing and computing. Stochastic nucleation prevents the repeatable multi-level response of phase change materials in integrated photonics. Here the authors circumvent this issue with a method using deterministic amorphization via spatially controlled microheater hotspots.
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Phase-change materials for rewriteable data storage
Matthias Wuttig, Noboru Yamada · Nature Materials · 2007 · 3.6K citations
Parallel convolutional processing using an integrated photonic tensor core
Integrated all-photonic non-volatile multi-level memory
Matthias Stegmaier, Peiman Hosseini, Di Wang et al. · Nature Photonics · 2015 · 1.3K citations
Engineering, Computer Engineering, Electrical Engineering +12