Publications by authors named "Gwang Sik Jeon"

Article Synopsis
  • - The study focuses on creating Sn-doped GeSe (SnGS2) films via atomic layer deposition (ALD) for arsenic-free Ovonic threshold switch (OTS) devices that have low off-current and a desirable threshold voltage.
  • - Undoped GeSe films display high performance and endurance but suffer from a large mobility gap; doping with Sn improves these properties by transforming pre-deposited SnN into SnSe through a special process involving NH and Se precursors.
  • - The resulting SnGS2 films, with about 9.6% Sn concentration, allow for the fabrication of both planar and vertical OTS devices, showing impressive switching performance with a low threshold voltage of around 3.5 V and enduring
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Bayesian networks and Bayesian inference, which forecast uncertain causal relationships within a stochastic framework, are used in various artificial intelligence applications. However, implementing hardware circuits for the Bayesian inference has shortcomings regarding device performance and circuit complexity. This work proposed a Bayesian network and inference circuit using a CuTe/HfO/Pt volatile memristor, a probabilistic bit neuron that can control the probability of being 'true' or 'false.

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Background: The interest in vascular substitutes has recently increased. We evaluated the feasibility of using a homologous parietal peritoneum as a vascular substitute for venous reconstruction during abdominal surgery.

Methods: The inferior vena cava was replaced with a homologous parietal peritoneum after cross-linking with glutaraldehyde in 36 rabbits.

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