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公开(公告)号：US20230170061A1
公开(公告)日：2023-06-01
申请号：US18162731
申请日：2023-02-01
Inventor： TAKEHIRO TANAKA , KENSUKE WAKASUGI , KOJI MORIKAWA
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.
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公开(公告)号：US20180182481A1
公开(公告)日：2018-06-28
申请号：US15839919
申请日：2017-12-13
Inventor： KENSUKE WAKASUGI , KENJI KONDO , KAZUTOYO TAKATA , HIROHIKO KIMURA , TOYOHIKO SAKAI
CPC classification number: G16H30/40 , G06F3/04845 , G06F16/583 , G06K9/2081 , G06K9/3233 , G06K9/342 , G06K9/4628 , G06K9/4642 , G06K9/4676 , G06K9/627 , G06K2209/05 , G06T7/0012 , G06T11/60 , G06T2200/24 , G06T2207/10081 , G06T2207/20076 , G06T2207/20104 , G06T2207/30061 , G06T2207/30096 , G06T2210/41 , G16H40/63 , G16H50/20 , G16H50/70
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.
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公开(公告)号：US20240291027A1
公开(公告)日：2024-08-29
申请号：US18527289
申请日：2023-12-03
Inventor： TOMOYUKI KOMORI , KENSUKE WAKASUGI , TAKEHIRO TANAKA , AKIHIKO SAGARA
IPC: H01M10/0562 , C01F17/36 , H01M10/0525
CPC classification number: H01M10/0562 , C01F17/36 , H01M10/0525 , C01P2002/30 , C01P2002/72 , C01P2006/40 , H01M2300/008
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.
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Patent Agency Ranking
公开(公告)号：US20230163352A1
公开(公告)日：2023-05-25
申请号：US18150689
申请日：2023-01-05
Inventor： TETSUYA ASANO , TAKASHI KUBO , KEITA MIZUNO , AKIHIRO SAKAI , TAKEHIRO TANAKA , KENSUKE WAKASUGI , TOMOYUKI KOMORI , TAKAHIRO HAMADA , MIKIYA FUJII
IPC: H01M10/0562
CPC classification number: H01M10/0562 , H01M2300/008
Abstract: The solid electrolyte material of the present disclosure consists of Li, M1, M2, and X, wherein M1 is at least two selected from the group consisting of Ca, Mg, and Zn; M2 is at least one selected from the group consisting of Y, Gd, and Sm; and X is at least one selected from the group consisting of F, Cl, Br, and I.
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公开(公告)号：US20250029683A1
公开(公告)日：2025-01-23
申请号：US18906211
申请日：2024-10-04
Inventor： KOKI UENO , KENSUKE WAKASUGI , MASATO SHIMABAYASHI , AKIHIRO SAKAI
IPC: G16C20/20 , G01N23/2055 , G16C20/40
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.
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6.发明申请公开(公告)号：US20230034028A1
公开(公告)日：2023-02-02
申请号：US17938530
申请日：2022-10-06
Inventor： KENSUKE WAKASUGI , TAKEHIRO TANAKA , KOJI MORIKAWA
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.
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7.发明申请公开(公告)号：US20210110307A1
公开(公告)日：2021-04-15
申请号：US17128298
申请日：2020-12-21
Inventor： KENSUKE WAKASUGI , KOJI MORIKAWA
IPC: G06N20/00
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.
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公开(公告)号：US20190098034A1
公开(公告)日：2019-03-28
申请号：US16135520
申请日：2018-09-19
Inventor： KENSUKE WAKASUGI , YOSHIKUNI SATO
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.
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