Abstract: An information processing method is an information processing method to be executed by a computer. The information processing method includes acquiring experimental spectrum information indicating an experimental spectrum obtained by actually measuring a material to be searched for; acquiring material information regarding a composition of the material; generating, based on the material information, pieces of candidate structure information regarding candidate structures that are candidates for a crystal structure of the material, and acquiring computational spectrum information indicating computational spectra each corresponding to a corresponding one of the candidate structures; generating structure information regarding the crystal structure, based on a correlation between the experimental spectrum information and the computational spectrum information; and outputting the generated structure information.

Abstract: The solid electrolyte material of the present disclosure comprises Li, M, Y, Gd, and I. M is at least one selected from the group consisting of Mg, Sr, Ba, and Zn. The battery of the present disclosure comprises a positive electrode, a negative electrode, and an electrolyte layer provided between the positive electrode and the negative electrode. At least one selected from the group consisting of the positive electrode, the negative electrode, and the electrolyte layer comprises the solid electrolyte material of the present disclosure.

Abstract: A property display method includes obtaining variables and pieces of option data, determining compositions of compounds by selecting one of the pieces of option data for each of the variables, obtaining predicted property values corresponding to the compositions, obtaining experimental property values corresponding to the compositions, generating a map indicating the predicted property values at positions corresponding to the compositions, generating a first image in which the experimental property values are superimposed upon the map, outputting the first image to a display unit, obtaining a piece of compound identification information corresponding to a selected one of the experimental property values on the map, obtaining a piece of compound information data relating to the experimental property value, generating a second image including a compound data image indicating the compound information data and the first image, and outputting the second image to the display unit.

Abstract: A property display device includes: a search content acquirer that acquires search variables and search data; a property value acquirer that acquires property values of a compound corresponding to the search data; a priority setter that sets a priority of the search variables; a display format determiner that determines a display format of the property of the compound by assigning search variables of high priority to coordinate axes A1 and A2 of color maps Ma and assigning search variables of lower priority than the search variables of high priority to array direction axes A3 and A4 of a first array map Mb1; and an image processor that generates at least one first array map Mb1 as a single image on the basis of the search data, the property values, and the display format.

Abstract: An electron density estimation method includes calculating a first electron density by inputting first input data to an electron density estimator, performing a numerical simulation using the first input data and the first electron density to calculate a second electron density, the numerical simulation being processing in which the first input data and the first electron density are set as initial values and in which electron density update processing using a density functional method is performed one or more times, the second electron density being not a convergence value obtained by the density functional method, performing learning for the estimator by calculating a parameter for the estimator, the parameter minimizing a difference between the first and second electron densities, obtaining, from a database, and inputting second input data to the estimator, in which the parameter is set, to estimate a third electron density, and outputting the third electron density.

Abstract: An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.

Abstract: If a lesion included in a specification target image is a texture lesion, a probability image calculation unit calculates a probability value indicating a probability that each of a plurality of pixels of the specification target image is included in a lesion area. An output unit calculates, as a candidate area, an area including pixels whose probability values are equal to or larger than a first threshold in a probability image obtained from the probability image calculation unit and, as a modification area, an area including pixels whose probability values are within a certain probability range including the first threshold. An input unit detects an input from a user on a pixel in the modification area. A lesion area specification unit specifies a lesion area on the basis of the probability image, the candidate area, the modification area, and user operation information.

Abstract: A mapping method includes: acquiring first map information created in advance, including information about a surrounding area of a mobile robot; acquiring second map information including information about the surrounding area by a sensor of the mobile robot; receiving third map information including information about the surrounding area from an environmental sensor node; (i) in the third map information, if a place exists in which an amount of change over time is equal to or greater than a certain threshold value, removing information about the place in each of the first and the second map information corresponding to that place, or alternatively, increasing the variance of information about the place in each of the first and the second map information corresponding to that place; and (ii) creating map information using the first and the second map information subjected to the removal or the variance increase.

Abstract: There is provided a map production method to be performed by a mobile robot which moves in a first region and includes a first sensor and a second sensor. The map production method includes acquiring first information from the first sensor, acquiring second information from the second sensor, acquiring third information from a third sensor provided in the first region, acquiring fourth information indicating a detection region of the second sensor calculated from the first information and the second information, acquiring fifth information indicating a detection region of the third sensor calculated from the third information, and updating map information of the first region for a third region, including a first object, if a the second region overlaps with the third region is judged to be present from the fourth information and the fifth information.