UV-ABSORBING TRANSPARENT PEROVSKITE
    25.
    发明公开

    公开(公告)号:US20240006129A1

    公开(公告)日:2024-01-04

    申请号:US18031405

    申请日:2021-10-11

    CPC classification number: H01G9/20 H01L31/0264 H01L31/03928

    Abstract: Transparent UV-absorbing solar cells are promising for the applications of powering electrochromic windows that regulate the transmission of visible and near-infrared photons for natural lighting and heating purposes, respectively. Current technologies focus on using organic solar cells for the application due to their narrow excitonic absorption and tunable bandgaps. However, transparent organic solar cells have drawbacks including the stability issue and thickness-induced problems, such as low yield rate and limited power conversion efficiency. Disclosed herein is the co-deposition of two or more materials by thermal evaporation to make visibly transparent inorganic perovskite films. By tuning the halide compositions, the inorganic perovskite films show absorption range in UV and near-UV region, which is well-suited to the application. Its high conductivity and absorbance enable it to be around 400 nm thick for devices, which is critical to improve the yield rate and efficiency. The solar cells based on the inorganic perovskite active layers show higher power conversion efficiency and higher transparency than state-of-art UV absorbing solar cells. The disclosed approach is not limited to the exemplary embodiment employing inorganic perovskite, and can employ, e.g., inorganic, organic and hybrid perovskite.

    SYSTEM AND METHOD FOR MACHINE LEARNING ASSISTED SECURITY ANALYSIS OF 5G NETWORK CONNECTED SYSTEMS

    公开(公告)号:US20230422039A1

    公开(公告)日:2023-12-28

    申请号:US18035847

    申请日:2021-11-08

    CPC classification number: H04W12/122 H04L63/1433 G06N7/01

    Abstract: According to various embodiments, a method for detecting security vulnerabilities in a fifth generation core network (5GCN) is disclosed. The method includes constructing an attack graph from a plurality of regular expressions. Each regular expression corresponds to a sequence of system level operations for a known 5GCN attack. The method further includes performing a linear search on the attack graph to determine unexploited 5GCN attack vectors where path in the attack graph that does not represent a known 5GCN attack vector represents an unexploited 5GCN attack vector. The method also includes applying a trained machine learning module to the attack graph to predict new 5GCN attacks. The trained machine learning module is configured to determine a feasibility of linking unconnected nodes in the attack graph to create a new branch representing a new 5GCN vulnerability exploit.

    APPARATUS AND METHOD FOR MEASURING THE ELASTICITY OF MICROFIBERS AT HIGH THROUGHPUT

    公开(公告)号:US20230417640A1

    公开(公告)日:2023-12-28

    申请号:US18336266

    申请日:2023-06-16

    CPC classification number: G01N3/068 G01N3/08 G01N2203/0075

    Abstract: The subject invention pertains to a new method for measuring the elastic properties of microfibers by rope-coiling. Rope-coiling refers to the buckling of a slender elastic fiber caused by axial compression. A continuous flow microfluidic method enables the high-throughput measurement of the elasticity of microfibers by rope-coiling, where sample loading and unloading are not needed between consecutive measurements. In certain embodiments the coiling radius can be directly proportional to the elastic modulus of the fiber, facilitating calibration to measure fiber elasticity for high-throughput applications. Throughput can be thousands of times higher than that of a tensile tester, making possible an in situ, on-line measurement in a microfluidic production line, which couples the making of microfibers and the measurement of elasticity on the same line. The new method can also measure certain fibers with local variations in elasticity.

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