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Hybrid 2D–CMOS microchips for memristive applications

Author

Listed:
  • Kaichen Zhu

    (King Abdullah University of Science and Technology (KAUST))

  • Sebastian Pazos

    (King Abdullah University of Science and Technology (KAUST))

  • Fernando Aguirre

    (King Abdullah University of Science and Technology (KAUST))

  • Yaqing Shen

    (King Abdullah University of Science and Technology (KAUST))

  • Yue Yuan

    (King Abdullah University of Science and Technology (KAUST))

  • Wenwen Zheng

    (King Abdullah University of Science and Technology (KAUST))

  • Osamah Alharbi

    (King Abdullah University of Science and Technology (KAUST))

  • Marco A. Villena

    (King Abdullah University of Science and Technology (KAUST))

  • Bin Fang

    (King Abdullah University of Science and Technology (KAUST))

  • Xinyi Li

    (Tsinghua University)

  • Alessandro Milozzi

    (Politecnico of Milan)

  • Matteo Farronato

    (Politecnico of Milan)

  • Miguel Muñoz-Rojo

    (University of Twente
    IMN-CNM, CSIC (CEI UAM+CSIC))

  • Tao Wang

    (Soochow University)

  • Ren Li

    (King Abdullah University of Science and Technology)

  • Hossein Fariborzi

    (King Abdullah University of Science and Technology)

  • Juan B. Roldan

    (University of Granada)

  • Guenther Benstetter

    (Deggendorf Institute of Technology)

  • Xixiang Zhang

    (King Abdullah University of Science and Technology (KAUST))

  • Husam N. Alshareef

    (King Abdullah University of Science and Technology (KAUST))

  • Tibor Grasser

    (TU Wien)

  • Huaqiang Wu

    (Tsinghua University)

  • Daniele Ielmini

    (Politecnico of Milan)

  • Mario Lanza

    (King Abdullah University of Science and Technology (KAUST))

Abstract

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry1,2. However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1 µm2) devices on unfunctional SiO2–Si substrates. Some studies have integrated monolayer graphene on silicon microchips as a large-area (more than 500 µm2) interconnection3 and as a channel of large transistors (roughly 16.5 µm2) (refs. 4,5), but in all cases the integration density was low, no computation was demonstrated and manipulating monolayer 2D materials was challenging because native pinholes and cracks during transfer increase variability and reduce yield. Here, we present the fabrication of high-integration-density 2D–CMOS hybrid microchips for memristive applications—CMOS stands for complementary metal–oxide–semiconductor. We transfer a sheet of multilayer hexagonal boron nitride onto the back-end-of-line interconnections of silicon microchips containing CMOS transistors of the 180 nm node, and finalize the circuits by patterning the top electrodes and interconnections. The CMOS transistors provide outstanding control over the currents across the hexagonal boron nitride memristors, which allows us to achieve endurances of roughly 5 million cycles in memristors as small as 0.053 µm2. We demonstrate in-memory computation by constructing logic gates, and measure spike-timing dependent plasticity signals that are suitable for the implementation of spiking neural networks. The high performance and the relatively-high technology readiness level achieved represent a notable advance towards the integration of 2D materials in microelectronic products and memristive applications.

Suggested Citation

  • Kaichen Zhu & Sebastian Pazos & Fernando Aguirre & Yaqing Shen & Yue Yuan & Wenwen Zheng & Osamah Alharbi & Marco A. Villena & Bin Fang & Xinyi Li & Alessandro Milozzi & Matteo Farronato & Miguel Muño, 2023. "Hybrid 2D–CMOS microchips for memristive applications," Nature, Nature, vol. 618(7963), pages 57-62, June.
  • Handle: RePEc:nat:nature:v:618:y:2023:i:7963:d:10.1038_s41586-023-05973-1
    DOI: 10.1038/s41586-023-05973-1
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    Cited by:

    1. S. S. Teja Nibhanupudi & Anupam Roy & Dmitry Veksler & Matthew Coupin & Kevin C. Matthews & Matthew Disiena & Ansh & Jatin V. Singh & Ioana R. Gearba-Dolocan & Jamie Warner & Jaydeep P. Kulkarni & Gen, 2024. "Ultra-fast switching memristors based on two-dimensional materials," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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