View source for 18498825. INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM simplified abstract (Toyota Jidosha Kabushiki Kaisha)

=INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM=


==Organization Name==

[[:Category:Toyota Jidosha Kabushiki Kaisha|Toyota Jidosha Kabushiki Kaisha]]


[[Category:Toyota Jidosha Kabushiki Kaisha]]

==Inventor(s)==

[[:Category:Hanae Shiratori of Susono-shi (JP)|Hanae Shiratori of Susono-shi (JP)]][[Category:Hanae Shiratori of Susono-shi (JP)]]

[[:Category:Masao Yano of Susono-shi (JP)|Masao Yano of Susono-shi (JP)]][[Category:Masao Yano of Susono-shi (JP)]]

[[:Category:Tetsuya Shoji of Susono-shi (JP)|Tetsuya Shoji of Susono-shi (JP)]][[Category:Tetsuya Shoji of Susono-shi (JP)]]

[[:Category:Yasuhiro Toyama of Kariya-shi (JP)|Yasuhiro Toyama of Kariya-shi (JP)]][[Category: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 18498825 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

==Simplified Explanation==

The patent application describes an information processing device that can predict a three-dimensional structure of a material using small angle scattering data and supplemental information.

* Acquiring section acquires small angle scattering data and supplemental information of the material.
* Predicting section uses the acquired data as input to predict the three-dimensional structure of the material using a pre-learned prediction model.

== Potential Applications ==
This technology could be applied in various fields such as material science, pharmaceuticals, and biotechnology for predicting the structure of complex 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 ==
The benefits of this technology include improved accuracy in predicting material structures, which can lead to advancements in research and development processes.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the development of new drugs where predicting the structure of molecules accurately is crucial for drug design.

== Possible Prior Art ==
Prior art in this field may include similar methods used in computational chemistry and material science for predicting molecular structures based on various data inputs.

=== What are the limitations of this technology in predicting material structures accurately?
This technology may have limitations in predicting highly complex material structures accurately due to the complexity of the data inputs and the prediction model used.

=== How does this technology compare to existing methods for predicting material structures?
This technology may offer improved accuracy and efficiency compared to existing methods by utilizing small angle scattering data and supplemental information in the prediction process.


==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.



[[Category:G01N23/04]]