Toyota jidosha kabushiki kaisha (20240159690). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM simplified abstract
Contents
- 1 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Hanae Shiratori of Susono-shi (JP)
Tetsuya Shoji of Susono-shi (JP)
Yasuhiro Toyama of Kariya-shi (JP)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240159690 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing device that predicts a three-dimensional structure of a material using small angle scattering data and supplemental information as input.
- Acquiring section: Acquires small angle scattering data and supplemental information of the material.
- Predicting section: Predicts the three-dimensional structure of the material using a prediction model learned in advance.
Potential Applications
This technology could be applied in the fields of material science, pharmaceuticals, and biotechnology for predicting the structure of various materials.
Problems Solved
This technology solves the problem of accurately predicting the three-dimensional structure of a material using small angle scattering data and supplemental information.
Benefits
- Accurate prediction of material structures - Improved efficiency in material research and development - Enhanced understanding of material properties
Potential Commercial Applications
"Predictive Three-Dimensional Structure Analysis Technology for Materials" could be used in industries such as pharmaceuticals, materials engineering, and nanotechnology for optimizing material design and development processes.
Possible Prior Art
One possible prior art could be the use of small angle scattering data for analyzing material structures, but the integration of supplemental information for predicting three-dimensional structures may be a novel aspect of this technology.
Unanswered Questions
How does the prediction model learn in advance to accurately predict the three-dimensional structure of the material?
The prediction model is likely trained on a dataset of small angle scattering data and supplemental information paired with known three-dimensional structures of materials to learn the patterns and relationships necessary for accurate predictions.
What are the limitations of using small angle scattering data and supplemental information for predicting material structures?
Some limitations may include the accuracy and completeness of the supplemental information, the complexity of the material being analyzed, and the potential for errors in the prediction model.
Original Abstract Submitted
an information processing device includes: an acquiring section acquiring small angle scattering data obtained by measuring a material, and supplemental information that is two-dimensional data of the material; and a predicting section that, by using the small angle scattering data and the supplemental information as input, predicts a three-dimensional structure of the material from output of a prediction model that is learned in advance and that is for predicting the three-dimensional structure of the material.
