Advanced Materials · 2024 · 14 citations · 23 references
Natural SciencesElectrical EngineeringMaterials ScienceElectronic MaterialsNanomaterialsNanotechnologyNanoelectronicsRandom Number GenerationSemiconductor NanomaterialsMetal NanoparticlesMott TransitionNanoelectronic Device PhysicsNanoelectronic DevicesNanoparticlesPower ConsumptionRandom Bit GenerationThreshold Switching Materials
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 VO 2 Mott switches. Among the vertically stacked Pt‐NP‐containing VO 2 threshold switches, those with higher Pt NP density show a considerably wider range of p‐bit operation (e.g., up to ≈300% increase in Δ V probe upon going from (Pt NP/VO 2 ) 0 to (Pt NP/VO 2 ) 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.
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Makoto Matsumoto, Takuji Nishimura · ACM Transactions on Modeling and Computer Simulation · 1998 · 5.7K citations
A novel true random number generator based on a stochastic diffusive memristor
Hao Jiang, Daniel Belkin, Sergey Savel’ev et al. · Nature Communications · 2017 · 440 citations · Full text
Mott Memory and Neuromorphic Devices
You Zhou, Shriram Ramanathan · Proceedings of the IEEE · 2015 · 362 citations
Natural Sciences, Electrical Engineering, Materials Science +17