Resistive switching (RS) memory devices with incorporated capabilities of data sensing, storing and processing are promising for artificial intelligence applications. In this respect, controlling resistance not only by electrical but also optical stimulations provides attractive opportunities for the development of novel neuromorphic sensing and computing systems. Here, we demonstrate the RS of Cu/parylene-PbTe/ITO memristive devices and the dependence of RS on optical excitation for efficient neuromorphic computing with high classification accuracy.
View Article and Find Full Text PDFThere is now an urgent need to develop reliable, rapid, and cost-effective methods for bacterial detection, particularly for point-of-care applications. This study explores the unique properties of silicon nanowire (SiNW) arrays as a resistive sensing platform for detecting Listeria innocua. Vertically aligned SiNWs, fabricated via metal-assisted chemical etching, exhibited high sensitivity to bacterial adsorption.
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