Abstract: An information processing device acquires an image captured by a transmission electron microscope. The information processing device, for each partial region in the image, executes a two-dimensional Fourier transform on an image of the partial region. The information processing device, based on results obtained by executing the two-dimensional Fourier transform on each of the partial regions, performs clustering of frequency strengths obtained from the results of the two-dimensional Fourier transform. The information processing device determines regions of different crystallinity in the image, based on results of the clustering.

Abstract: An information processing device acquires an image captured by a transmission electron microscope. The information processing device, for each partial region in the image, calculates a variation in pixel values of pixels included in the partial region. The information processing device, for each partial region in the image, determines a degree of crystallinity of the partial region based on the calculated variation in the pixel values of the partial region.

Abstract: The present disclosure provides an information processing system and an information processing method that, in a material analyzing service that is provided via a network, can appropriately manage data of a high degree of confidentiality. The system and method involve a user terminal that provides a data ID to a combination of first data that relates to a material, and second data that is data obtained by measuring the material and is data whose degree of confidentiality is lower than the first data. The user terminal stores the first data and data ID and transmits the second data and data ID to an information processing device. The information processing device carries out material analysis corresponding to the second data and transmits analysis results data to the user terminal. Accordingly, data having a high degree of confidentiality can be managed appropriately in a material analyzing service over a network.

Abstract: A surface performance evaluation device including memory and a processor coupled to the memory. The processor being configured to: acquire a captured image, which is a moving image of a test object on which a liquid is dispersed, and which is captured by a camera; quantify, based on the captured image that is acquired by the processor, a degree of diffusion of the liquid that is dispersed on the test object and diffuses; and evaluate a surface performance of the test object based on an index quantified by the processor.

Abstract: An information processing device acquires a material formation image representing a formation of a material, the material formation image being obtained by imaging the material. The information processing device generates a Fourier transform result representing a power spectrum by applying a Fourier transform to the acquired material formation image. The information processing device, on the basis of the Fourier transform result of the material formation image, employs an expectation-maximization algorithm to generate a size distribution of structures forming the material.

Abstract: An information processing device receives material data related to a material, from a user terminal. The information processing device performs analysis on the material data using a predetermined first analysis method and generates first analysis result data that is an analysis result from the first analysis method. The information processing device performs analysis on the received material data using a second analysis method and generates second analysis result data that is an analysis result expressing a relationship between the received material data and data different from the received material data. The information processing device transmits the first analysis result data and the generated second analysis result data to the user terminal.

Abstract: The motor control unit reduces the drive braking torque for applying the braking force to the drive wheel by the reverse rotation timing predicted by the reverse rotation prediction unit at the latest, and the friction braking unit increases a friction braking force applied to the drive wheel by the friction braking device so that the friction braking force exceeds the braking force provided by the drive braking torque by the reverse rotation timing predicted by the reverse rotation prediction unit at the latest.

Abstract: Automated analysis of particle beam measurement results is facilitated by a device that calculates a spatial parameter distribution representing spatial structure of a sample based on a scattering pattern corresponding to projection of the spatial structure of the sample to wavenumber space, the projection being obtained by detecting scattering of a particle beam which enters the sample and intersects with the sample.

Abstract: An information processing device acquires an image captured by a transmission electron microscope. The information processing device, for each partial region in the image, calculates a variation in pixel values of pixels included in the partial region. The information processing device, for each partial region in the image, determines a degree of crystallinity of the partial region based on the calculated variation in the pixel values of the partial region.

Abstract: An information processing device acquires an image captured by a transmission electron microscope. The information processing device, for each partial region in the image, executes a two-dimensional Fourier transform on an image of the partial region. The information processing device, based on results obtained by executing the two-dimensional Fourier transform on each of the partial regions, performs clustering of frequency strengths obtained from the results of the two-dimensional Fourier transform. The information processing device determines regions of different crystallinity in the image, based on results of the clustering.

Abstract: An information processing device acquires a material formation image representing a formation of a material, the material formation image being obtained by imaging the material. The information processing device generates a Fourier transform result representing a power spectrum by applying a Fourier transform to the acquired material formation image. The information processing device, on the basis of the Fourier transform result of the material formation image, employs an expectation-maximization algorithm to generate a size distribution of structures forming the material.

Abstract: A user terminal provides a data ID to a combination of first data that relates to a material, and second data that is data obtained by measuring the material and is data having a degree of confidentiality that is lower than the first data. The user terminal stores a pair consisting of the first data and the data ID in a terminal storage section. The user terminal transmits a pair consisting of the second data and the data ID to a server. The server receives the pair consisting of the second data and the data ID transmitted from the user terminal. The server stores the pair of the second data and the data ID in a data storage section. The server carries out material analysis corresponding to the second data, and generates analysis results data corresponding to the second data, and transmits the analysis results data to the user terminal.

Abstract: An information processing device receives material data, relating to a material, that have been sent from a user terminal. The information processing device performs analysis in accordance with one or more analysis techniques with respect to the material data to thereby acquire analysis result data representing analysis results. The information processing device sends the analysis result data to the user terminal.

Abstract: A method for producing a rare earth magnet, including preparing a melt of a first alloy having a composition represented by (R1vR2wR3x)yTzBsM1t (wherein R1 is a light rare earth element, R2 is an intermediate rare earth element, R3 is a heavy rare earth element, T is an iron group element, and M1 is an impurity element, etc.), cooling the melt of the first alloy at a rate of from 100 to 102 K/sec to obtain a first alloy ingot, pulverizing the first alloy ingot to obtain a first alloy powder having a particle diameter of 1 to 20 ?m, preparing a melt of a second alloy having a composition represented by (R4pR5q)100-uM2u (wherein R4 is a light rare earth element, R5 is an intermediate or heavy rare earth element, M2 is an alloy element, etc.), and putting the first alloy powder into contact with the melt of the second alloy.

Abstract: A data analysis system comprising a measurement data acquisition part acquiring measurement data received through the communication part and analyzing a material, a data analysis part using a trained machine learning model to process the measurement data and outputting the results of analysis of the measurement data, a storage processing part storing in an analysis result database of the storage device a data set including the measurement data and the results of processing obtained by processing the measurement data as the analysis result data set, a learning-use data set acquisition part acquiring a learning-use data set including results of evaluation of the results of processing of the measurement data performed at the outside based on the analysis result data set received through the communication part, and a learning part retraining the machine learning model based on the learning-use data set.

Abstract: A magnetic compound represented by the formula (R1(1-x)R2x)a(Fe(1-y)Coy)bTcMd wherein R1 is one or more elements selected from the group consisting of Sm, Pm, Er, Tm and Yb, R2 is one or more elements selected from the group consisting of Zr, La, Ce, Pr, Nd, Eu, Gd, Tb, Dy, Ho and Lu, T is one or more elements selected from the group consisting of Ti, V, Mo, Si and W, M is one or more elements selected from the group consisting of unavoidable impurity elements, Al, Cr, Cu, Ga, Ag and Au, 0?x?0.7, 0?y?0.7, 4?a?20, b=100-a-c-d, 0<c<7.7, and 0?d?3, the magnetic compound having a ThMn12-type crystal structure, wherein the volume fraction of ?-(Fe, Co) phase is less than 12.3%.

Abstract: To provide a motor control method ensuring that dragging loss at the time of high rotation can be reduced. A motor control method, wherein a composite permanent magnet has a core part and a shell part, the Curie temperature of one of the core part and the shell part is Tc1 K, and the Curie temperature of another is Tc2 K, and wherein when the magnitude of the reluctance torque is equal to or greater than the magnitude of the magnet torque, the temperature of the composite permanent magnet is set at Ts K that is (Tc1?100) K or higher and lower than Tc2 K and when the magnitude of the reluctance torque is less than the magnitude of the magnetic torque, the temperature of the composite permanent magnet is set at lower than the temperature Ts K or Tc1 K, whichever is lower.

Abstract: A rare earth magnet includes a main phase, a grain boundary phase present around the main phase and an intermediate phase interposed between the main phase and the grain boundary phase, and has an overall composition that is represented by the formula ((Ce(1-x)Lax)(1-y)R1y)pT(100-p-q-r)BqM1r?(R21-zM2z)s (where, R1 and R2 are rare earth elements other than Ce and La, T is at least one selected from among Fe, Ni, and Co, M1 is an element having a small amount that does not influence magnetic characteristics, and M2 is an alloy element for which a melting point of R21-zM2z is lower than a melting point of R2). A total concentration of Ce and La is higher in the main phase than in the intermediate phase, and a concentration of R2 is higher in the intermediate phase than in the main phase.

Abstract: To provide a rare earth magnet ensuring excellent magnetic anisotropy while reducing the amount of Nd, etc., and a manufacturing method thereof. A rare earth magnet comprising a crystal grain having an overall composition of (R2(1-x)R1x)yFe100-y-w-z-vCowBzTMv (wherein R2 is at least one of Nd, Pr, Dy and Tb, R1 is an alloy of at least one or two or more of Ce, La, Gd, Y and Sc, TM is at least one of Ga, Al, Cu, Au, Ag, Zn, In and Mn, 0<x<1, y=12 to 20, z=5.6 to 6.5, w=0 to 8, and v=0 to 2), wherein the average grain size of the crystal grain is 1,000 nm or less, the crystal grain consists of a core and an outer shell, the core has a composition of R1 that is richer than R2, and the outer shell has a composition of R2 that is richer than R1.

Abstract: To provide a motor control method ensuring that dragging loss at the time of high rotation can be reduced. A motor control method, wherein a composite permanent magnet has a core part and a shell part, the Curie temperature of one of the core part and the shell part is Tc1 K, and the Curie temperature of another is Tc2 K, and wherein when the magnitude of the reluctance torque is equal to or greater than the magnitude of the magnet torque, the temperature of the composite permanent magnet is set at Ts K that is (Tc1?100) K or higher and lower than Tc2 K and when the magnitude of the reluctance torque is less than the magnitude of the magnetic torque, the temperature of the composite permanent magnet is set at lower than the temperature Ts K or Tc1 K, whichever is lower.