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: 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: A vulcanized rubber composition assuring a well-balanced improvement of abrasion resistance, fuel efficiency and breaking resistance and a tire using a tread made of the vulcanized rubber composition are provided. The vulcanized rubber composition comprises a phase (SBR phase) comprising a styrene butadiene rubber being incompatible with a butadiene rubber and silica, and a phase (BR phase) comprising a butadiene rubber and silica, wherein the SBR phase and the BR phase are incompatible with each other, an abundance ratio ? of silica in the SBR phase after vulcanization satisfies 0.3???0.7 (Relation 1), and a proportion ? of the styrene butadiene rubber being incompatible with the butadiene rubber satisfies 0.4???0.8 (Relation 2), and the tire has a tread composed of the vulcanized rubber composition.

Abstract: A vulcanized rubber composition assuring a well-balanced improvement of abrasion resistance, fuel efficiency and breaking resistance and a tire using a tread made of the vulcanized rubber composition are provided. The vulcanized rubber composition comprises a phase (SBR phase) comprising a styrene butadiene rubber being incompatible with a butadiene rubber and silica, and a phase (BR phase) comprising a butadiene rubber and silica, wherein the SBR phase and the BR phase are incompatible with each other, an abundance ratio ? of silica in the SBR phase after vulcanization satisfies 0.3???0.7 (Relation 1), and a proportion ? of the styrene butadiene rubber being incompatible with the butadiene rubber satisfies 0.4???0.8 (Relation 2), and the tire has a tread composed of the vulcanized rubber composition.

Abstract: To highly accurately represent behaviors of a polymer material when largely deformed. [Solution] A simulation method for a polymer material according to the present invention includes an imaging step S1 for acquiring electron beam transmission images of the polymer material 2, a step S2 for constructing a three-dimensional image 21 of the polymer material, a model defining step S3 for defining a polymer material model 26, and a step S4 for carrying out a deformation simulation based on the polymer material model 26.

Abstract: A method for simulating deformation of rubber compound including silica particles and an interfacial coupling agent therefor is disclosed. Using a scanning transmission electron microscope (STEM), data of STEM images of the rubber compound are acquired. Based on the STEM image data, a dataset of a 3D structure of the rubber compound is reconstructed. Based on the dataset, a model of the rubber compound is generated. Using the model on which conditions are defined, a deformation calculation is made and a physical quantity is acquired. The rubber compound model comprises a rubber component model, silica particle models and interface models surrounding the silica particle models and defined as being harder than the rubber component model.

Abstract: A method for simulating deformation of rubber compound including silica particles and an interfacial coupling agent therefor is disclosed. Using a scanning transmission electron microscope (STEM), data of STEM images of the rubber compound are acquired. Based on the STEM image data, a dataset of a 3D structure of the rubber compound is reconstructed. Based on the dataset, a model of the rubber compound is generated. Using the model on which conditions are defined, a deformation calculation is made and a physical quantity is acquired. The rubber compound model comprises a rubber component model, silica particle models and interface models surrounding the silica particle models and defined as being harder than the rubber component model.

Abstract: A method for simulating deformation of rubber compound with filler particles, comprises the following steps: by the use of a scanning transmission electron microscope (STEM), data of STEM images of the rubber compound are acquired; based on the data of the STEM images, a dataset of a three-dimensional structure of the rubber compound is reconstructed; based on the dataset of the three-dimensional structure of the rubber compound, a finite element model of the rubber compound is generated so that the model comprises a domain of a rubber component divided into a finite number of elements, and domains of the filler particles each divided into a finite number of elements; on the elements of the rubber component, the stress dependence on strain rate of the rubber component is defined; and based on the finite element model, a simulation of deformation of the rubber compound is carried out.

Abstract: A method for analyzing rubber compound including a rubber component and filler particles, comprises: a STEM image acquiring step in which, by the use of a scanning transmission electron microscope (STEM), data of STEM images of the rubber compound are acquired; and a researching step for researching the STEM images or secondary information based on the originally data of STEM images; wherein in the STEM image acquiring step, the focal point of the scanning transmission electron microscope is set in a thickness center region of a specimen of the rubber compound.