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Promotion of Probabilistic Bit Generation in Mott Devices by Embedded Metal Nanoparticles

  • Yewon Seo
  • , Yunkyu Park
  • , Pyeongkang Hur
  • , Minguk Jo
  • , Jaeyeong Heo
  • , Byung Joon Choi
  • , Junwoo Son
  • Seoul National University
  • Pohang University of Science and Technology
  • Chonnam National University

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Considerable attention has been drawn to the use of volatile two-terminal devices relying on the Mott transition for the stochastic generation of probabilistic bits (p-bits) in emerging probabilistic computing. To improve randomness and endurance of bit streams provided by these devices, delicate control of the transient evolution of switchable domains is required to enhance stochastic p-bit generation. Herein, it is demonstrated that the randomness of p-bit streams generated via the consecutive pulse inputs of pump–probe protocols can be increased by the deliberate incorporation of metal nanoparticles (NPs), which influence the transient dynamics of the nanoscale metallic phase in VO2 Mott switches. Among the vertically stacked Pt-NP-containing VO2 threshold switches, those with higher Pt NP density show a considerably wider range of p-bit operation (e.g., up to ≈300% increase in ΔVprobe upon going from (Pt NP/VO2)0 to (Pt NP/VO2)11) and can therefore be operated under the conditions of high speed (400 kbit s−1), low power consumption (14 nJ per bit), and high stability (>105 200 bits) for p-bit generation. Thus, the study presents a novel strategy that exploits nanoscale phase control to maximize the generation of nondeterministic information sources for energy-efficient probabilistic computing hardware.

Original languageEnglish
Article number2402490
JournalAdvanced Materials
Volume36
Issue number31
DOIs
StatePublished - 1 Aug 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • domain switching
  • metal-insulator transition
  • nanoscale phase
  • probabilistic computing
  • semiconductor

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