TETRADENTATE CYCLOMETALATED PLATINUM (II) COMPLEX, ELECTRONIC DEVICE AND APPLICATION THEREOF

    公开(公告)号:US20250008760A1

    公开(公告)日:2025-01-02

    申请号:US18590225

    申请日:2024-02-28

    Abstract: The disclosure belongs to the field of organic electroluminescence, and particularly relates to a tetradentate cyclometalated platinum (II) complex, an electronic device and application thereof. In the disclosure, by introducing 2, 6-di (phenyl) tert-butylphenyl into a proper position of a ligand, a dihedral angle with a pyridine unit is increased and packing between molecules is reduced. Meanwhile, distribution of excited charges can be improved, so that the material has more metal-to-pyridine carbene charge transfer states, thus improving service life of devices. The material has chemical stability and thermal stability, and is easy to prepare vapor-deposited OLED devices. Combined with the fluorescent doping material, transmission of holes and electrons can be balanced and energy transfer between a donor material and an acceptor material can be more efficient. The organic light-emitting device made of the compound according to the disclosure has improved current efficiency and service life, and a reduced lighting voltage.

    CATALYTIC COMBUSTION TYPE HYDROGEN SENSOR AND MANUFACTURING METHOD THEREFOR

    公开(公告)号:US20240345013A1

    公开(公告)日:2024-10-17

    申请号:US18752708

    申请日:2024-06-24

    CPC classification number: G01N27/16

    Abstract: Disclosed in the present disclosure are a catalytic combustion type hydrogen sensor and a manufacturing method therefor. The catalytic combustion type hydrogen sensor includes a catalytic combustion element and a compensation element, where both the catalytic combustion element and the compensation element are planar film structures taking mica sheets as substrates, and platinum resistors and aluminum oxide film carriers are sequentially adhered on surfaces of the mica sheets. A layer of palladium nanoparticles are further adhered to a surface of the aluminum oxide film carrier of the catalytic combustion element as a catalyst. According to the present disclosure, the ultra-thin mica sheet is used for replacing a silicon-based material to manufacture the film type catalytic combustion type hydrogen sensor, such that a complicated and high-cost micro-electromechanical system (MEMS) technology is avoided, and the flexible characteristic of the ultra-thin mica sheet endows the sensor with extremely high robustness.

    Shaft-distributed double-acting roller piston pump

    公开(公告)号:US12025113B2

    公开(公告)日:2024-07-02

    申请号:US17964558

    申请日:2022-10-12

    CPC classification number: F04B1/141

    Abstract: A shaft-distributed double-acting roller piston pump includes a front end cover, a pump casing, a rear end cover and a pump core assembly. The pump core assembly includes a guide rail assembly including left and right guide rails arranged back to back. The side surfaces of the left and right guide rails away from each other are space cam curved surfaces. A flow distribution shaft is installed in the center of the guide rail assembly. A cylinder assembly is installed on both sides of the guide rail assembly including left and right cylinders, between which a piston assembly is arranged. The piston assembly forms left and right closed cavities with the left and right cylinders respectively. The piston assembly performs axial reciprocating linear motion under the constraint of the cylinder assembly and the guide rail assembly, and the volumes of the left and right closed cavities change continuously.

    Complex network attack detection method based on cross-host abnormal behavior recognition

    公开(公告)号:US12015628B1

    公开(公告)日:2024-06-18

    申请号:US18545960

    申请日:2023-12-19

    CPC classification number: H04L63/1425 H04L63/1416

    Abstract: The present disclosure discloses a complex network attack detection method based on cross-host abnormal behavior recognition, and the method includes the following steps: 1) firstly collecting kernel log data of a host to construct an intra-host association graph, then employing a graph convolution network (GCN) to extract features, and finally using an autoencoder to detect abnormal nodes in the intra-host association graph; 2) firstly constructing an inter-host interaction graph by using network flow log data, then training a prediction model based on a sequence of the inter-host interaction graph, and finally detecting abnormal edges in the inter-host interaction graph according to prediction differences; and 3) firstly constructing a cross-host exception association graph according to intra-host and inter-host exception detection results, then spreading exception scores by employing a PageRank algorithm, and finally confirming an attacked host based on the exception scores.

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