Property Display Device for Compound Composition Visualization
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Solution Overview
Problem
Existing technologies for displaying material properties of compounds struggle to provide an overall picture when composition changes, as they often rely on localized data and limited search variables.
Innovation Solution
A property display device and method that acquires search variables and data, sets priorities, and generates a single image by assigning high-priority variables to color map axes and lower-priority variables to array map axes, allowing for a comprehensive visualization of material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If localized data display methods are used (ternary plots, pie charts, matrix forms), then the display method is simple, but it is difficult to recognize an overall picture of compound properties when composition changes
Solution Approach 1:
The patent transitions from traditional 2D display methods (ternary plots, pie charts) to a 4D array map that incorporates four dimensions: two color map axes for primary composition variables, and two array direction axes for additional composition variables. This dimensional expansion enables comprehensive visualization of compound properties across multiple composition variables simultaneously, resolving the information loss problem while maintaining systematic organization.
Solution Approach 2:
The patent segments the display into distinct functional components: color maps for visualizing property values with gradient coloring, array directions for organizing multiple composition variables, and hierarchical axes (color map axes vs. array direction axes). This segmentation allows each component to handle specific aspects of the data, collectively providing a complete overall picture without overwhelming complexity.
2Adaptability or versatility
If multiple search variables are used to determine composition, then the search comprehensiveness is improved, but the difficulty of recognizing overall property changes increases
Solution Approach 1:
The patent applies local quality by assigning different visual encoding strategies to different variables based on their priority and type. High-priority variables are mapped to color map axes with gradient color encoding for intuitive property value visualization, while lower-priority variables are assigned to array direction axes for systematic organization. This differentiated approach makes it easy to detect property changes for each variable while maintaining comprehensive coverage.
Solution Approach 2:
The patent utilizes color changes in the color maps to represent property value variations across the composition space. Gradient coloring provides immediate visual feedback on property trends, enabling researchers to quickly identify regions of interest and understand property changes without analyzing numerical data for multiple variables. This visual encoding significantly reduces the difficulty of detecting property changes.
Data Source
AI summary
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.