Abstract: A property prediction device includes a processor; and a memory storing program instructions that cause the processor to: create a prediction model by using a training dataset of a composite material including raw materials in first and second categories to perform machine learning of a correspondence relationship between a property of the composite material, which is an objective variable, versus a mixing amount of the raw material in the first category and a weighted feature of the raw material in the second category, which are explanatory variables; and input, as explanatory variables, a mixing amount of a raw material in the first category and a weighted feature of a raw material in the second category, created based on prediction data of a composite material whose property is to be predicted, into the prediction model so as to predict the property of the composite material corresponding to the prediction data.

Abstract: A rotor includes a rotor core, a shaft which is disposed inside the rotor core and extends in an axial direction, and a plurality of permanent magnets which are provided in the rotor core, in which the rotor core is provided with a lightening hole, and a number of the lightening hole is different from a number of pole pairs of the plurality of permanent magnets.

Abstract: To improve accuracy in a document search for a document that includes a typographical error. A document retrieval device according to one embodiment of the present invention includes a misidentification table storing a correctly identified character string and a misidentified character string. The document retrieval device includes a document searcher. The document searcher obtains a search character string, and retrieves the search character string from both a document and a character string that is obtained by changing the misidentified character string included in the document to the correctly identified character string.

Abstract: A physical property prediction device for predicting a physical property of a compound including: a generation unit configured to generate a first stage trained model, by using, as training data, first stage synthesis information and synthesis result information; a generation unit configured to generate second stage through last stage trained models, by using, as training data, n-th stage (n?2) synthesis information, n-th stage synthesis result information, and n?1-th stage synthesis result information; a reception unit configured to receive a synthesis information setting for the compound for which the physical property is predicted; a prediction unit configured to predict a physical property value of a product synthesized by the first stage chemical reaction of the compound; a prediction unit configured to repeat, from a second stage chemical reaction to a last stage chemical reaction of the compound, a process of predicting a physical property value of a product synthesized by the n-th stage chemical react

Abstract: To improve accuracy in a document search for a document that includes a typographical error. A document retrieval device according to one embodiment of the present invention includes a misidentification table storing a correctly identified character string and a misidentified character string. The document retrieval device includes a document searcher. The document searcher obtains a search character string, and retrieves the search character string from both a document and a character string that is obtained by changing the misidentified character string included in the document to the correctly identified character string.

Abstract: An information processing device includes an analyzing unit configured to analyze text data representing claims included in patent document data to identify constituent components of an invention for each claim included in the claims, and a display control unit configured to cause a display device to display texts indicating each claim in the claims, in a form in which the texts indicating each claim are partitioned into the constituent components.