Abstract: A polyisocyanurate raw material composition containing a polyfunctional isocyanate, a compound (I) represented by general formula (I) shown below, and an epoxy compound. In general formula (I), each of R1 to R5 represents a hydrogen atom, an alkoxy group of 1 to 10 carbon atoms, an alkyl group of 2 to 10 carbon atoms (or an alkyl group of 1 to 10 carbon atoms in the case of R3 to R5), an aryl group of 6 to 12 carbon atoms, an amino group, a monoalkylamino group of 1 to 10 carbon atoms, a dialkylamino group of 2 to 20 carbon atoms, a carboxy group, a cyano group, a fluoroalkyl group of 1 to 10 carbon atoms, or a halogen atom (provide that R1 and R2 are not both hydrogen atoms).

Abstract: The present invention is designed to improve the accuracy of machine learning. The present invention provides: a first classification unit configured to classify data into classifiable data and initially-unclassifiable data based on a first learning model; a first annotation unit configured to annotate the classifiable data with a label; a second classification unit configured to classify the initially-unclassifiable data based on a second learning model; a label acquiring unit configured to acquire a label with which the initially-unclassifiable data is to be annotated; a second annotation unit configured to annotate the initially-unclassifiable data with a label; and a second learning model updating unit configured to update the second learning model based on the initially-unclassifiable data that is annotated with the label based on a result of classification by the second classification unit and the label acquired by the label acquiring unit.

Abstract: To improve a determination accuracy when determining each particle contained in an image of an object. An image analysis apparatus according to an embodiment of the present invention includes: a shape determination unit configured to determine a shape of a particle included in a particle image that is extracted from an image of an object, so that an OK particle image which is a particle image of an OK particle that satisfies a predetermined standard for shape and a provisional NG particle image which is a particle image of a provisional NG particle that does not satisfy the predetermined standard, are obtained; a pseudo image generation unit configured to generate a pseudo image; and a similarity determination unit configured to determine whether the provisional NG image and the pseudo image are similar.

Abstract: A SiC ingot includes a core portion; and a surface layer that is formed on a plane of the core portion in a growing direction, and a coefficient of linear thermal expansion of the surface layer is smaller than a coefficient of linear thermal expansion of the core portion.

Abstract: A crystal growing apparatus includes: a crucible which includes a main body portion, and a first portion having a radiation rate different from that of the main body portion, and is capable of controlling a temperature of a specific region inside during heating to a higher or lower temperature than that of the other regions; and a heating unit which is positioned on the outside of the crucible and is configured to heat the crucible by radiant heat, and the first portion is at a position where the crucible and a line segment connecting a heating center of the heating unit and the specific region intersect with each other.

Abstract: A material design apparatus is provided that can derive an optimal solution of a design condition of a polymer that satisfies desired and required physical properties.

Abstract: A crystal growing apparatus includes: a crucible including a main body portion and a low radiation portion having a radiation rate lower than that of the main body portion; and a heating unit which is positioned on the outside of the crucible and is configured to heat the crucible by radiant heat, and the low radiation portion is provided on an outer surface of a first point which is a heating center, in a case where the crucible does not include the low radiation portion.

Abstract: A material design system includes an expert terminal capable of using a model learning interface for performing machine learning of a model that inputs and outputs a correspondence between a design condition and a material property value of the material to be designed, and a plurality of general-purpose terminals configured to use a material design interface for estimating the material property value based on the design condition or estimating the design condition based on the material property value, by using a learned model that is created by the expert terminal and is for the material to be designed.

Abstract: A document retrieval apparatus includes an input reception unit configured to receive an input of a keyword, a document acquisition unit configured to acquire an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, a keyword acquisition unit configured to reference an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, and acquire an associating keyword of the input keyword, from the input keyword received by the input reception unit and the author's name acquired by the document acquisition unit, a document search unit configured to search the document file acquired by the document acquisition unit, using the input keyword and the acquired associating keyword, and a search result output unit configured to output a

Abstract: Technical knowledge which is difficult for the expert to express in words or numerical form is predicted and reproduced. A technical knowledge prediction apparatus according to one embodiment of the present invention includes a problem setting unit configured to automatically create and set a problem which includes a control factor of a manufacturing step, and a variable of the control factor, an answer acquiring unit configured to acquire an answer with respect to the problem and indicating a decision of the manufacturing step, a query acquiring unit configured to acquire a query, and a prediction output unit configured to predict and output an answer corresponding to the query acquired by the query acquiring unit, based on a corresponding relationship between the problem and the answer.

Abstract: A prediction device for predicting a thermodynamic equilibrium state of a target material, includes a processor, and a memory storing program instructions that cause the processor to generate training data including inputs related to predetermined design conditions and outputs related to the thermodynamic equilibrium state that may occur based on the predetermined design conditions, for a model that outputs target variables related to the thermodynamic equilibrium state based on input explanatory variables related to design conditions of the target material, perform machine learning using the training data so that an input-output relation of the model approaches an input-output relation of the training data, set explanatory variables used to predict the thermodynamic equilibrium state of the target material, and output predictive target variables, being predicted results of the thermodynamic equilibrium state, from the model, based on the explanatory variables input into the model on which the machine learnin

Abstract: A material design device derives the optimal solution for a design condition satisfying a desired material property. A design condition setting unit for setting a specified range of a design condition of a material to be designed. A comprehensive prediction point generation unit generates a plurality of comprehensive prediction points within the specified range set by the design condition setting unit. A design condition-material property table stores data sets in which each point of the comprehensive prediction points is associated with a material property value calculated by inputting the comprehensive prediction points generated by the comprehensive prediction point generation unit, to a learned model. A required property setting unit sets a specified range of a required property of the material. A design condition extraction unit extracts, from the design condition-material property table, a data set satisfying the required property set by the required property setting unit.

Abstract: A document search device includes a document search unit configured to search for an input keyword in a document database in which document information including text data is stored, the text data being extracted, by using a character recognition process, from document image data generated by imaging a paper document, a similar keyword selecting unit configured to select a similar keyword in accordance with a degree of similarity to the input keyword, from a group of wildcard strings generated from the input keyword, and cause the document search unit to search for the similar keyword in the document database, and an output unit configured to output a search result obtained by searching for the input keyword in the document database and a search result obtained by searching for the similar keyword in the document database.

Abstract: Efficiency of a material search is improved. An apparatus according to one embodiment of the present invention includes a composition obtaining unit configured to obtain a candidate composition, a thermodynamic calculation unit configured to perform thermodynamic calculation on the candidate composition, a manufacturing determining unit configured to determine whether the candidate composition is a manufacturable material based on a correspondence relation between a result of the thermodynamic calculation performed on a predetermined composition and manufacturability indicating whether a material having the predetermined composition is manufacturable, and an output unit configured to output a composition that is determined to be the manufacturable material.

Abstract: A polyisocyanurate raw material composition containing a polyfunctional isocyanate, a compound (I) represented by general formula (I) shown below, and an epoxy compound. In general formula (I), each of R1 to R5 represents a hydrogen atom, an alkoxy group of 1 to 10 carbon atoms, an alkyl group of 2 to 10 carbon atoms (or an alkyl group of 1 to 10 carbon atoms in the case of R3 to R5), an aryl group of 6 to 12 carbon atoms, an amino group, a monoalkylamino group of 1 to 10 carbon atoms, a dialkylamino group of 2 to 20 carbon atoms, a carboxy group, a cyano group, a fluoroalkyl group of 1 to 10 carbon atoms, or a halogen atom (provide that R1 and R2 are not both hydrogen atoms).

Abstract: A polymer design device according to an embodiment of the present disclosure receives a requirement for a target physical property of a desired polymer, and acquires structural information of polymers. For each polymer corresponding to the acquired structural information, the polymer design device estimates physical property information of the polymer including a mean value and a standard deviation, based on the structural information of the polymer and a regression model, and calculates a score of the polymer based on the requirement for the target physical property and based on the mean value and the standard deviation. From among the acquired structural information of the polymers, the polymer design device selects at least one polymer as the desired polymer, based on the score of each of the polymers, and outputs information of the selected at least one polymer.

Abstract: A SiC single crystal growth apparatus of an embodiment includes a seed crystal installation part in which a seed crystal is installable at a position thereof which faces a raw material; a guide member which extends from a periphery of the seed crystal installation part toward the raw material and guides crystal growth performed inside the guide member; and a heat-insulating material which is movable along an extension direction of the guide member on the outside of the guide member.

Abstract: A curing accelerator can exhibit good curing acceleration performance and is excellent in storage stability, while maintaining sufficient pot life in a curing reaction of radical-polymerizable resins, and a radical-polymerizable resin composition uses the curing accelerator. The curing accelerator for radical-polymerizable resins includes a metal-containing compound (A), a thiol compound (B) and an aprotic solvent (C) having a dielectric constant of 10 or less, wherein the metal-containing compound (A) is one or more compounds selected from a metal soap (A1) and a ?-diketone skeleton-having metal complex (A2), the thiol compound (B) is one or more compounds selected from a mono-functional primary thiol compound (B1), a secondary thiol compound (B2) and a tertiary thiol compound (B3), and the content of the aprotic solvent (C) is 10 to 1,000 parts by mass relative to 100 parts by mass of the total of the metal-containing compound (A) and the thiol compound (B).

Abstract: A silver nanowire ink capable of obtaining a transparent electroconductive pattern having a preferable conductivity and a superior migration resistance, and capable of being produced by smaller steps, as well as a transparent electroconductive film using the silver nanowire ink. A silver nanowire ink including a low molecular weight urea compound having a urea bond in a molecule and having a molecular weight of 60 to 250, a silver nanowire, a binder resin, and a dispersion medium, and a transparent electroconductive film obtained by coating the silver nanowire ink on a transparent substrate and drying the same.

Abstract: A polymer physical property prediction device includes a processor, and a memory storing program instructions that cause the processor to read a structural unit from a storage unit and use the structural unit to calculate numbers each indicating how many substructures are in a polymer, the polymer being formed of repetition of the structural unit, calculate a number indicating how many atoms are in the structural unit, calculate number densities of the substructures from the numbers of substructures and the number of atoms in the structural unit, construct a regression model that predicts a physical property value by using an experimental value of a physical property of the polymer and the number densities of the substructures, input a polymer structure of which the physical property value is to be predicted, and predict the physical property value corresponding to the input polymer structure by using the regression model.