Physically unclonable functions (PUFs) enable hardware-rooted identities by converting fabrication randomness into challenge-response pairs (CRPs). However, conventional PUFs generally expose only one dominant entropy feature per cell, so fingerprint capacity commonly scales with array size. Here, a fingerprint-expan...
Jueun Lee, T. Ohm, Youngmin Han et al.· ACS Nano· 0 citations
ABSTRACT We propose a novel dual‐randomness framework that integrates physically unclonable functions (PUFs) and true random number generators (TRNGs) within a single nanomaterial platform. In contrast to conventional approaches that treat PUFs and TRNGs as separate entities, our platform integrates both entropy source...
Seung-Me Kang, Wang-Kug Choi, Jueun Lee et al.· Advancement of science· 0 citations
The fundamental energy and latency limitations of the von Neumann architecture have necessitated a paradigm shift toward neuromorphic systems. This approach addresses the “memory wall” bottleneck by emulating the brain's event‐driven and massively parallel processing capabilities. However, the physical realization of...
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard et al.· Advanced Functional Material...· 0 citations
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