Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5716
Title: Electrically writable silicon nanophotonic resistive memory with inherent stochasticity
Authors: Singh, Lalit
Jain, Sourabh P.
Kumar, Mukesh
Keywords: Gold;Nanophotonics;Plasmonics;Silica;Silicon;Stochastic systems;Electrical hysteresis;Extinction ratios;Low propagation loss;Nanophotonic structures;Optical confinement;Optical readout;Resistive memory;Stochastic properties;Silicon oxides
Issue Date: 2019
Publisher: OSA - The Optical Society
Citation: Singh, L., Jain, S., & Kumar, M. (2019). Electrically writable silicon nanophotonic resistive memory with inherent stochasticity. Optics Letters, 44(16), 4020-4023. doi:10.1364/OL.44.004020
Abstract: An electrically writable resistive memory with optical readout based on silicon nanophotonic structure is proposed. Hybridization of optical and surface plasmonic modes in the device enables nanoscale optical confinement to efficiently detect the resistive memory effect in a 13 nm thick SiO2 layer sandwiched between p-type silicon and gold. Electrical write and optical readout capabilities of the proposed device are experimentally demonstrated with well-defined optical and electrical hysteresis curves at a wavelength of 1550 nm. The p-type silicon carries multifold benefits—it provides low propagation loss and a defect-free interface resulting from thermally (locally) grown oxide; the combination of p-silicon, SiO2, and gold results in a self-rectifying operation to enable the realization of a memory stack. An on–off extinction ratio of 10 dB is demonstrated for a 5 mm long device. The proposed device shows an inherent stochastic property where the set (writing) voltage reduces in each set–reset cycle, which can be used for optical readout of synaptic weight for neuromorphic computations. © 2019 Optical Society of America
URI: https://doi.org/10.1364/OL.44.004020
https://dspace.iiti.ac.in/handle/123456789/5716
ISSN: 0146-9592
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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