Abstract: A method for producing an additively manufactured, graded composite transition joint (AM-GCTJ) includes preparing a grating or lattice pattern from a first alloy A; the grating or lattice pattern includes pores in the grating or lattice patterns. The grating pattern is built from a first end to a second end being denser on the first end than on second end, and gradually reduces density by increasing the pore size and/or reducing density of the grating or lattice pattern; adding a second alloy B powder to the second end of grating or lattice pattern. The second alloy B powder is filled towards the first end. A composite is formed of first alloy A and second alloy B powder in the AM-GCTJ. The composite is subjected to hot isostatic pressing (HIP) to densify the composite. The second alloy B is graduated from the first end to the second end O of AM-GCTJ.

Abstract: A method and system for rapid retrieval of target images based on artificial intelligence, obtaining a template image and a plurality of known labels corresponding to the template image; extracting an image to be detected from a target image database; inputting both the image to be detected and the template image into a trained convolutional neural network, and outputting a hash code of the image to be detected and a hash code of the template image; obtaining a similarity between the images based on a Hamming distance between the hash codes, then selecting one or more images to be detected with the similarity higher than a set threshold as a retrieval result to output. Accordingly, the method and system is able to better cope with the retrieval of items in complex scenarios.

Abstract: A multiple scenario-oriented item retrieval method and system. The method includes the steps of extracting, by Hashing learning, image features from an image training set to train a pre-built item retrieval model; when an image is in a scenario of hard samples, introducing an adaptive similarity matrix, optimizing the similarity matrix by an image transfer matrix, constructing an adaptive similarity matrix objective function in combination with an image category label; constructing a loss quantization objective function between the image and a Hash code according to the image transfer matrix; when the image is in a scenario of zero samples, introducing an asymmetric similarity matrix, constructing an objective function by taking the image category label as supervisory information in combination with equilibrium and decorrelation constraints of the Hash code; and training the item retrieval model based on the above objective function to obtain a retrieved result of a target item image.

Abstract: The present disclosure provides a multi-task deep Hash learning-based retrieval method for massive logistics product images. According to the idea of multi-tasking, Hash codes of a plurality of lengths can be learned simultaneously as high-level image representation. Compared with single-tasking in the prior art, the method overcomes shortcomings such as waste of hardware resources and high time cost caused by model retraining under single-tasking. Compared with the traditional idea of learning a single Hash code as an image representation and using it for retrieval, information association among Hash codes of a plurality of lengths is mined, and the mutual information loss is designed to improve the representational capacity of the Hash codes, which addresses the poor representational capacity of a single Hash code, and thus improves the retrieval performance of Hash codes.

Abstract: Various examples are provided related to electrodes for high temperature electrochemical corrosion sensing. In one example, a high temperature sensor electrode includes a quartz tube; a copper chloride and sodium chloride mixture sealed in the quartz tube; and an electrode wire in the mixture, the electrode wire including an electrode connection extending through a seal of the quartz tube. In another example, a method for electrochemical testing includes immersing electrodes of a high temperature electrochemical sensor in a corrosive medium, the electrodes comprising a high temperature sensor electrode; and obtaining one or more electrochemical measurement via the electrodes immersed in the corrosive medium. The electrodes can also include a working electrode and/or a counter electrode.

Abstract: In one aspect, the disclosure relates to conformal coating scaffold electrodes having a sintered porous perovskite scaffold and a continuous, uniform catalyst coating covering the scaffold. In one aspect the perovskite can have the formula BaZrxCeyYzYb(1?x?y?z)O3??, wherein 0.1?x?0.8, wherein 0?y?0.8, and wherein 0?z?0.3, while the catalyst can have the formula Pr2?xBaxNiO4+?, wherein 0?x?0.4 (PBNO). The disclosed electrodes exhibit improved long-term operational stability compared to current technology and are sustainable, scalable, and inexpensive to produce. Also disclosed are methods for making the coating, electrochemical cells comprising the electrodes, and devices incorporating the electrochemical cells. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: A method for producing an additively manufactured, graded composite transition joint (AM-GCTJ) includes preparing a grating or lattice pattern from a first alloy A; the grating or lattice pattern includes pores in the grating or lattice patterns. The grating pattern is built from a first end to a second end being denser on the first end than on second end, and gradually reduces density by increasing the pore size and/or reducing density of the grating or lattice pattern; adding a second alloy B powder to the second end of grating or lattice pattern. The second alloy B powder is filled towards the first end. A composite is formed of first alloy A and second alloy B powder in the AM-GCTJ. The composite is subjected to hot isotropic pressing (HIP) to densify the composite. The second alloy B is graduated from the first end to the second end O of AM-GCTJ.

Abstract: A multiple scenario-oriented item retrieval method and system. The method includes the steps of extracting, by Hashing learning, image features from an image training set to train a pre-built item retrieval model; when an image is in a scenario of hard samples, introducing an adaptive similarity matrix, optimizing the similarity matrix by an image transfer matrix, constructing an adaptive similarity matrix objective function in combination with an image category label; constructing a loss quantization objective function between the image and a Hash code according to the image transfer matrix; when the image is in a scenario of zero samples, introducing an asymmetric similarity matrix, constructing an objective function by taking the image category label as supervisory information in combination with equilibrium and decorrelation constraints of the Hash code; and training the item retrieval model based on the above objective function to obtain a retrieved result of a target item image.

Abstract: A method and system for rapid retrieval of target images based on artificial intelligence, obtaining a template image and a plurality of known labels corresponding to the template image; extracting an image to be detected from a target image database; inputting both the image to be detected and the template image into a trained convolutional neural network, and outputting a hash code of the image to be detected and a hash code of the template image; obtaining a similarity between the images based on a Hamming distance between the hash codes, then selecting one or more images to be detected with the similarity higher than a set threshold as a retrieval result to output. Accordingly, the method and system is able to better cope with the retrieval of items in complex scenarios.

Abstract: The present disclosure provides a multi-task deep Hash learning-based retrieval method for massive logistics product images. According to the idea of multi-tasking, Hash codes of a plurality of lengths can be learned simultaneously as high-level image representation. Compared with single-tasking in the prior art, the method overcomes shortcomings such as waste of hardware resources and high time cost caused by model retraining under single-tasking. Compared with the traditional idea of learning a single Hash code as an image representation and using it for retrieval, information association among Hash codes of a plurality of lengths is mined, and the mutual information loss is designed to improve the representational capacity of the Hash codes, which addresses the poor representational capacity of a single Hash code, and thus improves the retrieval performance of Hash codes.

Abstract: A high temperature corrosion sensor is provided having (i) a housing having an external wall and an internal wall, the internal wall of the housing forming a chamber of the housing, (ii) a stainless steel tube inserted into the chamber, (iii) a ceramic tube wherein at least a portion of the ceramic tube is inserted into the stainless steel tube, (iv) an airflow tube that extends through the chamber, and (v) a sensor probe having a first working electrode, a second working electrode, a reference electrode, a positive electrical resistance, a negative electrical resistance, and a thermocouple, wherein at least a portion of each are encapsulated into a ceramic casting that is located at one end of the housing. Methods of measuring corrosion within a power plant environment are provided.

Abstract: A high temperature carbon monoxide sensor for in-situ combustion monitoring is provided having a yttrium-stabilized zirconia interface based emf-measuring electrochemical sensor and a nickel oxide (NiO) first sensing electrode for targeting carbon monoxide gas at a temperature range from between about 1000 degrees Centigrade to about 1200 degrees Centigrade. A method of measuring carbon monoxide using this sensor is provided.

Abstract: A high temperature corrosion sensor is provided having (i) a housing having an external wall and an internal wall, the internal wall of the housing forming a chamber of the housing, (ii) a stainless steel tube inserted into the chamber, (iii) a ceramic tube wherein at least a portion of the ceramic tube is inserted into the stainless steel tube, (iv) an airflow tube that extends through the chamber, and (v) a sensor probe having a first working electrode, a second working electrode, a reference electrode, a positive electrical resistance, a negative electrical resistance, and a thermocouple, wherein at least a portion of each are encapsulated into a ceramic casting that is located at one end of the housing. Methods of measuring corrosion within a power plant environment are provided.

Abstract: An inorganic solid electrolyte glass phase composite is provided comprising a substance of the general formula La2/3-xLi3xTiO3 wherein x ranges from about 0.04 to about 0.17, and a glass material. The glass material is one or more compounds selected from Li2O, Li2S, Li2SO4, Li3PO4, P2O5, P2O3, Al2O3, SiO2, CaO, MgO, BaO, TiO2, GeO2, SiS2, Sb2O3, SnS, TaS2, P2S5, B2S3, and a combination of two or more thereof. A lithium-ion conducting solid electrolyte composite is disclosed comprising a lithium-ion conductive substance of the general formula La2/3-xLi3xTiO3—Z wherein x ranges form about 0.04 to 0.17, and wherein “Z” is the glass material identified above. A battery is disclosed having at least one cathode and anode and an inorganic solid electrolyte glass phase composite as described above disposed on or between at least one of the cathode and the anode.

Abstract: A multilayered cathode for a lithium sulfur battery comprising at least one current collector working electrode having a surface comprising a carbon containing layer, two or more sulfur containing layers wherein at least one of the sulfur layers is located in juxtaposition to and in communication with the carbon containing layer, and at least one outermost layer comprising a positively charged polymer for forming interconnected layers of the sulfur containing layer, the carbon containing layer, and the polymer. Preferably, the cathode has layers that are alternatively arranged of two or more different sulfur containing layers. A lithium sulfur battery is provided and a method of making a multilayered cathode for a lithium sulfur battery is disclosed.

Abstract: The present invention provides a composite anode for a battery comprising a copper current collector working electrode, at least one anode material comprising at least one of a carbon, a silicon, a conductive agent, and combinations thereof, wherein at least one anode material is deposited on a surface of the copper current collector working electrode to form the composite anode for a battery. An electrophoretic method for making this anode is provided. A lithium-ion battery having the composite anode is disclosed.

Abstract: The present invention provides a composite anode for a battery comprising a copper current collector working electrode, at least one anode material comprising at least one of a carbon, a silicon, a conductive agent, and combinations thereof, wherein at least one anode material is deposited on a surface of the copper current collector working electrode to form the composite anode for a battery. An electrophoretic method for making this anode is provided. A lithium-ion battery having the composite anode is disclosed.

Abstract: A multilayered cathode for a lithium sulfur battery comprising at least one current collector working electrode having a surface comprising a carbon containing layer, two or more sulfur containing layers wherein at least one of the sulfur layers is located in juxtaposition to and in communication with the carbon containing layer, and at least one outermost layer comprising a positively charged polymer for forming interconnected layers of the sulfur containing layer, the carbon containing layer, and the polymer. Preferably, the cathode has layers that are alternatively arranged of two or more different sulfur containing layers. A lithium sulfur battery is provided and a method of making a multilayered cathode for a lithium sulfur battery is disclosed.

Abstract: A solid electrolyte composite is provided comprising a NaSICON framework of the formula NaxAyBzP3?zOw wherein A is one or more metal ions, B is one or more ions having a pentavalence, and x is a number ranging from 1 to 12, y is a number ranging from 1 to 2, z is a number ranging from 0 to 3, and w is a number ranging from 4 to 12, wherein B is present or absent, and a glass material. A battery is disclosed having at least one cathode and anode and the solid electrolyte glass phase composite described above disposed between at least one of the anode and cathode. A method for making the solid electrolyte composite is set forth.

Abstract: An inorganic solid electrolyte glass phase composite is provided comprising a substance of the general formula La2/3-xLi3xTiO3 wherein x ranges from about 0.04 to about 0.17, and a glass material. The glass material is one or more compounds selected from Li2O, Li2S, Li2SO4, Li3PO4, P2O5, P2O3, Al2O3, SiO2, CaO, MgO, BaO, TiO2, GeO2, SiS2, Sb2O3, SnS, TaS2, P2S5, B253, and a combination of two or more thereof. A lithium-ion conducting solid electrolyte composite is disclosed comprising a lithium-ion conductive substance of the general formula La2/3-xLi3xTiO3—Z wherein x ranges form about 0.04 to 0.17, and wherein “Z” is the glass material identified above. A battery is disclosed having at least one cathode and anode and an inorganic solid electrolyte glass phase composite as described above disposed on or between at least one of the cathode and the anode.