Abstract: A sulfide solid electrolyte, which is able to adjust the morphology unavailable traditionally, or is readily adjusted so as to have a desired morphology, the sulfide solid electrolyte having a volume-based average particle diameter measured by laser diffraction particle size distribution measurement of 3 ?m or more and a specific surface area measured by the BET method of 20 m2/g or more; and a method of treating a sulfide solid electrolyte including the sulfide solid electrolyte being subjected to at least one mechanical treatment selected from disintegration and granulation.

Abstract: A non-transitory computer-readable storage medium storing an equivalent circuit analysis program that causes at least one computer to execute a process, the process includes specifying a surface pattern included in first circuit information; generating second circuit information in which the surface pattern is changed to a line pattern based on a wire of a layer adjacent to the surface pattern; and executing an equivalent circuit analysis based on the second circuit information.

Abstract: A non-transitory computer-readable storage medium storing an electromagnetic field analysis program that causes at least one computer to execute a process, the process includes specifying a dimension of a width of wiring included in first circuit information and a dimension of a thickness of the wiring; generating second circuit information obtained by changing value of one selected from the dimension of the width and the dimension of the thickness to zero based on a ratio between the dimension of the width and the dimension of the thickness; and executing an electromagnetic field analysis based on the second circuit information.

Abstract: An integrated viewer for multiple measurements according to a first aspect includes: a storage unit that stores, for each of a plurality of types of analyzers, a type of a feature amount obtained from a measurement result of the analyzer; a display control unit that displays types of feature amounts stored in the storage unit on a display screen in a selectable manner; and a registration unit that names and registers a set of types of feature amounts selected by an operator among the types of the feature amounts. The display control unit displays, side by side on the display screen, a first display region in which the type of the feature amount is displayed in a tab for each type of the analyzers and a second display region in which the set of types of the feature amounts selected by the operator is displayed.

Abstract: A viewer for analysis includes: a communication unit for receiving analysis results for each of a plurality of samples, the analysis results being different in type from each other and outputted from a plurality of types of analyzers; a display unit for displaying the analysis results received by the communication unit; a control unit for controlling the display unit; and a first selection means for selecting at least two or more display target samples from the plurality of samples. The display unit includes a display area for displaying the analysis results by the plurality of types of analyzers for each of the at least two or more display target samples; and a list display area for displaying at least two or more display areas in a list, the at least two or more display areas corresponding to the at least two or more display target samples.

Abstract: Provided is a method of producing a solid electrolyte having high ionic conductivity using a liquid phase method, including a first step of mixing two or more compounds satisfying (1) and a complexing agent 1 satisfying (2), and a second step of further mixing in a complexing agent 2 satisfying (3) after the first step. (1) A compound containing one or more selected from a group consisting of a lithium element, a sulfur element, a phosphorus element and a halogen element. (2) A complexing agent capable of forming a complex containing Li3PS4 and a halogen element. (3) A complexing agent other than the complexing agent 1, capable of forming a complex containing Li3PS4.

Abstract: For each of one or a plurality of types of samples, a database is constructed in which a sample identification tag and data belonging to at least two types of categories out of Categories (1), (2), and (3) are stored in association with each other. Data to be used as training data in supervised learning is selected from the database. At this time, one or a plurality of types of data is selected as an explanatory variable from one of the categories. Further, one or a plurality of types of data is selected as an objective variable from the other category. Then, training data is generated in which data corresponding to the selected explanatory variable is served as input and data corresponding to the selected objective variable is served as ground truth output.

Abstract: An information processing apparatus calculates a value based on the lengths of wires included in inner layers selecting the inner layers other than outermost layers and layers adjacent to the outermost layers from among a plurality of layers included in circuit data. The information processing apparatus generates training data including first layer data corresponding to the patterns of the outermost layers, second layer data corresponding to the patterns of the layers adjacent to the outermost layers, and the value based on the lengths of the wires. The information processing apparatus trains a machine learning model by using the training data.

Abstract: A non-transitory computer-readable storage medium storing an agent model building program that causes at least one computer to execute a process, the process includes selecting a pair of samples among samples included in a data set, each of the pair of samples having a value other than stimulus variables related to an input to an agent; acquiring a first output result of the data set by inputting the data set to a neural network; acquiring a first penalty based on whether the value conform to a sensitivity function; and adjusting a parameter of the neural network until a training error based on the first output result and the first penalty satisfy a certain condition.

Abstract: A sulfide solid electrolyte, which is able to adjust the morphology unavailable traditionally, or is readily adjusted so as to have a desired morphology, the sulfide solid electrolyte having a volume-based average particle diameter measured by laser diffraction particle size distribution measurement of 3 ?m or more and a specific surface area measured by the BET method of 20 m2/g or more; and a method of treating a sulfide solid electrolyte including the sulfide solid electrolyte being subjected to at least one mechanical treatment selected from disintegration and granulation.

Abstract: An information processing apparatus specifies a first pattern indicating a first layer included in first circuit data. The information processing apparatus generates, based on first wiring included in a second pattern indicating a second layer that is adjacent to the first layer and a slit included in the first pattern, second circuit data by changing the first pattern to a third pattern including second wiring corresponding to the first wiring. The information processing apparatus generates, based on the second circuit data, training data for machine learning.

Abstract: A method of production of a solid electrolyte, which comprises: a step of obtaining a mixture comprising a sulfide solid electrolyte and a tertiary alcohol including 9 or less carbon atoms, and a step of removing the tertiary alcohol from the mixture.

Abstract: The present disclosure provides a chemical bond evaluation method capable of directly evaluating the presence or absence of a chemical bond between silica and a silane coupling agent. Included is a chemical bond evaluation method including evaluating the presence or absence of a chemical bond between silica and a silane coupling agent in a rubber composition containing a rubber component, the silica, and the silane coupling agent.

Abstract: The present invention provides a rubber composition for tires which provides improved abrasion resistance, and a pneumatic tire containing the rubber composition. The present invention relates to a rubber composition for tires containing a rubber component including at least 80% by mass in total of at least one of an isoprene-based rubber, a polybutadiene rubber, or a styrene-butadiene rubber, the rubber composition containing, per 100 parts by mass of the rubber component, 3 to 250 parts by mass of a reinforcing filler and 0.2 to 10 parts by mass of a specific tetrazine compound.

Abstract: A recording medium records a simulation program for causing a computer to execute a process including: arranging an agent, which has cognitive information and behaves in a virtual space based on the cognitive information, in the virtual space in which a plurality of guidance displays is set; when, with respect to each of the plurality of guidance displays, the agent enters within a first range of the respective guidance displays, and first guidance information corresponding to the first range is related with a destination of the agent, changing cognitive information up to the destination of the agent; and when, with respect to each of the plurality of guidance displays, the agent enters within a second range different from the first range, and second guidance information corresponding to the second range is related with the destination of the agent, changing cognitive information not directly related with the destination of the agent.

Abstract: A non-transitory computer-readable storage medium storing a n EMI calculation program that causes at least one computer to execute a process, the process includes inputting circuit information of a first circuit to a machine learning model; acquiring an EMI value at a certain frequency of the first circuit; selecting, based on an impedance characteristic of the first circuit and the EMI value at the certain frequency, first EMI information from a plurality of pieces of EMI information in each of which an impedance characteristic of each of a plurality of circuits is associated with EMI values at a plurality of frequencies of each of the plurality of circuits; and acquiring an EMI value at another frequency different from the certain frequency of the first circuit based on the EMI value at the certain frequency and the first EMI information.

Abstract: The present invention provides a production method of a solid electrolyte containing a lithium element, a sulfur element, a phosphorous element, and a halogen element, wherein the solid electrolyte has a high ionic conductivity and capable of suppressing hydrogen sulfide by adopting a liquid-phase method, wherein the method includes mixing a complexing agent having an ester group and also having at least one branch with a solid electrolyte raw material. The present invention also relates to an electrolyte precursor.

Abstract: A non-transitory computer-readable recording medium stores a machine learning program for causing a computer to execute processing including: acquiring a first parameter that represents an environment and a second parameter that represents a movement attribute of each of a plurality of moving bodies in the environment; classifying the plurality of moving bodies into a plurality of groups on the basis of the second parameter; generating a third parameter that indicates the number of moving bodies classified into each of the plurality of groups; and inputting the first parameter and the third parameter to a machine learning model to generate estimation information regarding movement of the plurality of moving bodies in the environment.

Abstract: An information processing apparatus specifies a first pattern indicating a first layer included in first circuit data. The information processing apparatus generates, based on first wiring included in a second pattern indicating a second layer that is adjacent to the first layer and a slit included in the first pattern, second circuit data by changing the first pattern to a third pattern including second wiring corresponding to the first wiring. The information processing apparatus generates, based on the second circuit data, training data for machine learning.

Abstract: An information processing apparatus calculates a value based on the lengths of wires included in inner layers selecting the inner layers other than outermost layers and layers adjacent to the outermost layers from among a plurality of layers included in circuit data. The information processing apparatus generates training data including first layer data corresponding to the patterns of the outermost layers, second layer data corresponding to the patterns of the layers adjacent to the outermost layers, and the value based on the lengths of the wires. The information processing apparatus trains a machine learning model by using the training data.