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Logic-in-memory based on an atomically thin semiconductor

ORAL

Abstract

Non-von Neumann architectures are now emerging alternatives to traditional processors for specialized applications where energy efficiency becomes a critical parameter. In particular, brain-inspired architectures show promise in efficiently targeting reconfigurable hardware and matrix-vector computations. Although this is a broad area of research that explores co-designing new systems and devices, a solid material platform that suppresses all technology’s needs has not yet been found. In this regard, two-dimensional materials are a promising class of materials due to their excellent electrical and mechanical properties as well as the emergence of new phenomena that could be exploited to create new non-von Neumann architectures. Here we demonstrate the use of MOCVD grown monolayer MoS2 as the semiconductor channel for floating-gate memories. We exploit the fabricated memories as a programmable inverter taking advantage of its precise channel’s conductance control. Next, we demonstrate a programmable NOR gate and we further propose an architecture that can produce a complete set of operations. Our results open a new path towards efficient reconfigurable hardware.

Publication: Migliato Marega, G., Zhao, Y., Avsar, A. et al. Logic-in-memory based on an atomically thin semiconductor. Nature 587, 72–77 (2020). https://doi.org/10.1038/s41586-020-2861-0

Presenters

  • Guilherme Migliato Marega

    Ecole Polytechnique Federale de Lausanne

Authors

  • Guilherme Migliato Marega

    Ecole Polytechnique Federale de Lausanne

  • Yanfei Zhao

    École Polytechnique Fédérale de Lausanne

  • Ahmet Avsar

    Ecole Polytechnique Federale de Lausanne

  • Zhenyu Wang

    École Polytechnique Fédérale de Lausanne

  • Mukesh Tripathi

    École Polytechnique Fédérale de Lausanne

  • Aleksandra Radenovic

    École Polytechnique Fédérale de Lausanne

  • Andras Kis

    Ecole Polytechnique Federale de Lausanne