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Memristor Array Based on Wafer-Scale 2D HfS<sub>2</sub> for Dual-Mode Physically Unclonable Functions

Haofei Zheng, Lingqi Li, Yu‐Chieh Chien, Jie Yang, Sifan Li, Samarth Jain, Heng Xiang, Mingxi Chen, Jianwei Chai, Yinfeng Long, Mei Er Pam, Lin Wang, Dongzhi Chi, Kah‐Wee Ang

2024ACS Applied Materials & Interfaces15 citationsDOI

Abstract

Conventional Si-based physically unclonable functions (PUFs) take advantage of the unique variations in the fabrication processes. However, these PUFs are hindered by limited entropy sources and susceptibility to noise interference. Here we present a memristive device based on wafer-scale (2-in.) two-dimensional (2D) hafnium disulfide (HfS 2 ) grown by molecular beam epitaxy (MBE). The polycrystalline HfS 2 thin film can offer enhanced entropy sources for PUF applications, such as lattice defects, which can facilitate the random formation of conductive filaments and result in significant device-to-device (D2D) variations. Our proposed PUF design seamlessly integrates two distinct operating modes within a single circuit module. First, a reconfigurable and highly secure mode 1, and second, an ultrareliable mode 2, both with near-ideal Entropy (∼1.0), normalized Hamming distance (∼0.5) and correlation coefficient (∼0.0). Additionally, a predictive Fourier regression model further confirms the unpredictable nature of our dual-mode PUF, with an average prediction accuracy of ∼50%.

Topics & Concepts

Materials scienceDual modeMemristorWaferDual (grammatical number)Scale (ratio)Physical unclonable functionMode (computer interface)OptoelectronicsNanotechnologyElectronic engineeringKey (lock)Computer sciencePhysicsEngineeringComputer securityOperating systemArtLiteratureQuantum mechanicsPhysical Unclonable Functions (PUFs) and Hardware SecurityAdvanced Memory and Neural ComputingNeuroscience and Neural Engineering