Database, material data processing system, and method of creating database

US11803522B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11803522-B2
Application numberUS-202217879067-A
CountryUS
Kind codeB2
Filing dateAug 2, 2022
Priority dateAug 5, 2021
Publication dateOct 31, 2023
Grant dateOct 31, 2023

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A database storing data associated with an identifier unique to each sample, the data including first data representative of at least one of composition data, processing data, and property data for the each sample, and second data representative of microstructure data for the each sample. The microstructure data includes a feature determined based on a temperature dependence of magnetization for the each sample.

First claim

Opening claim text (preview).

What is claimed is: 1. A material data processing system, comprising: at least one database configured to store data associated with an identifier unique to each sample, the data including: first data representative of at least one of composition data, processing data, and property data for each sample, and second data representative of microstructure data for each sample, and the microstructure data including a feature determined based on a temperature dependence of magnetization for each sample; and a data processing device capable of accessing the database to retrieve the data therefrom, wherein the data processing device receives an input of a variable of a microstructure, which includes a feature determined based on a temperature dependence of magnetization of a material, and outputs a variable that defines a property of the material, a variable that defines a composition of the material, and/or a variable that defines processing of the material. 2. The material data processing system of claim 1 , wherein the data processing device calculates an output value of an objective variable from an input value of an explanatory variable based on a mathematical model that is based on the data stored in the database, and the mathematical model includes the feature determined based on the temperature dependence of magnetization as an explanatory variable that defines the microstructure and includes at least one of the composition, processing, and property as an objective variable. 3. The material data processing system of claim 1 , wherein the data processing device calculates an output value of an explanatory variable from an input value of an objective variable based on a mathematical model that is based on the data stored in the database, and the mathematical model includes the feature determined based on the temperature dependence of magnetization as an explanatory variable that defines the microstructure and includes at least one of the composition, processing, and property as an objective variable. 4. The material data processing system of claim 1 , wherein the feature determined based on the temperature dependence of magnetization is a feature regarding a magnetic phase transition. 5. The material data processing system of claim 4 , wherein the feature regarding the magnetic phase transition includes at least one of a Curie temperature and a Neel temperature. 6. The material data processing system of claim 1 , wherein the first data includes, as the composition data, a type of elements contained in each sample and a composition ratio of the elements, and the first data includes, as the processing data, a parameter that defines a condition of a heat treatment performed in a step of producing each sample. 7. The material data processing system of claim 1 , wherein the first data includes, as the property data, at least one of a residual magnetic flux density, coercivity, saturation magnetization, and magnetic permeability of each sample. 8. The material data processing system of claim 1 , wherein the second data includes, as the microstructure data, a parameter that defines a crystal structure of a primary phase contained in each sample. 9. A material data processing system for predicting properties, compositions, and/or processes of materials, comprising: a database configured to store: first data representative of at least one of composition data, processing data, and property data for each sample, and second data representative of microstructure data for each sample, the microstructure data including a feature determined based on a temperature dependence of magnetization for each sample; and a data processing device configured to receive an input of a variable of a microstructure, which includes a feature determined based on a temperature dependence of magnetization of a material, and to output a variable that defines a property of the material, a variable that defines a composition of the material, and/or a variable that defines processing of the material. 10. A material data processing system, comprising: at least one database configured to store data associated with an identifier unique to each sample, the data including: first data representative of at least one of composition data, processing data, and property data for each sample, and second data representative of microstructure data for each sample, and the microstructure data including a feature determined based on a temperature dependence of magnetization for each sample; and a data processing device capable of accessing the database to retrieve the data therefrom, wherein the data processing device includes: a processor; a memory connected with the processor, the memory storing a program that defines an operation of the processor; and a mathematical model configurator capable of constructing a mathematical model based on a first variable and a second variable, the first variable being defined by at least one of the composition data, the processing data, and the property data of the first data, which is an objective variable, the second variable being defined by the microstructure data including a feature determined based on the temperature dependence of magnetization of the second data, which is an explanatory variable, and the processor executes an arithmetic operation based on the mathematical model according to the program to determine an output value, which is at least one variable that defines a composition, processing, property, and microstructure of the material, from an input value, which is at least one variable that defines the composition, processing, property, and microstructure of the material. 11. A material data processing system for predicting properties, compositions, and/or processes of materials, comprising: a database configured to store: first data representative of at least one of composition data, processing data, and property data for each sample, and second data representative of microstructure data for each sample, the microstructure data including a feature determined based on a temperature dependence of magnetization for each sample; and a mathematical model configurator capable of constructing a mathematical model based on a first variable and a second variable, the first variable being defined by at least one of the composition data, the processing data, and the property data of the first data, which is an objective variable, and the second variable being defined by the microstructure data including a feature determined based on the temperature dependence of magnetization of the second data, which is an explanatory variable, and a data processing device configured to determine an output value, which is at least one variable that defines a composition, processing, property, and microstructure of the material, from an input value, which is at least one variable that defines the composition, processing, property, and microstructure of the material, in accordance with the mathematical model constructed by the mathematical model configurator.

Assignees

Inventors

Classifications

  • G06F16/211Primary

    Schema design and management · CPC title

  • User-Defined Types; Storage management thereof · CPC title

  • Relational databases · CPC title

  • G06F16/21Primary

    Design, administration or maintenance of databases · CPC title

  • G16C60/00Primary

    Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US11803522B2 cover?
A database storing data associated with an identifier unique to each sample, the data including first data representative of at least one of composition data, processing data, and property data for the each sample, and second data representative of microstructure data for the each sample. The microstructure data includes a feature determined based on a temperature dependence of magnetization fo…
Who is the assignee on this patent?
Proterial Ltd
What technology area does this patent fall under?
Primary CPC classification G06F16/211. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 31 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).