Nanoparticle Array Color Prediction via Inverse GUI
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Solution Overview
Problem
Reproducing structural color, which relies on the physical properties of materials to produce color through interference of scattered light waves, is challenging due to the complex interactions of light with materials and the numerous configurations of physical properties that affect light scattering, making it difficult to predict specific properties for desired colors.
Innovation Solution
A computer-implemented method and system that simulate and optimize the optical properties of nanoparticle arrays to achieve desired structural colors by displaying modeling objectives, receiving simulation inputs, and adjusting physical parameters to generate output parameters such as reflectance curves, using stochastic models like Monte Carlo simulations and bulk scattering models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to reproduce structural color, then the material can be manufactured, but the ability to predict and control specific color outcomes is poor due to complex light interactions and numerous physical property configurations
Solution Approach 1:
The patent transforms the complex physical property configurations into a simplified parameter space by identifying key parameters (particle size, concentration, refractive index) that dominate light scattering behavior. This allows predictable control of structural color through systematic variation of these parameters rather than dealing with all possible physical configurations.
Solution Approach 2:
The patent introduces computational models and simulations as intermediaries between material design and optical outcome prediction. These models serve as a bridge that translates physical property inputs into predicted color outputs, enabling accurate prediction without direct experimentation for every configuration.
2Ease of operation
If the number of physical property configurations is reduced to improve predictability, then color prediction becomes easier, but the ability to achieve diverse structural colors is limited
Solution Approach 1:
The patent creates a universal modeling framework that can handle diverse material systems and geometric configurations through a single set of key parameters. This framework is adaptable to different particle shapes, sizes, and arrangements while maintaining ease of use, thus achieving both simplicity and versatility.
Solution Approach 2:
The patent employs dynamic parameter adjustment where the set of key parameters and their relative importance can be adapted based on the specific material system being modeled. This allows the model to maintain ease of operation while achieving diverse structural color predictions across different material configurations.
3Manufacturing precision
If detailed physical property configurations are specified to achieve precise color control, then the structural color accuracy improves, but the manufacturing complexity and difficulty increase
Solution Approach 1:
The patent extracts and isolates the most critical physical parameters that dominate light scattering behavior, separating them from less influential properties. This allows precise color control through manipulation of only the key parameters (particle size, concentration, refractive index) rather than requiring precise control of all physical properties, thereby simplifying manufacturing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the determination of structural color properties and optimization of nanoparticle arrays to produce specific colors, overcoming the complexity of light interactions and configurations, resulting in accurate simulation and production of structural colors.
Implementation Method 1
structural color relies on the physical properties of a material to produce color. These physical properties give rise to interference among scattered light waves
Implementation Method 2
These physical properties give rise to interference among scattered light waves, which gives the scattered light a particular color
Data Source
AI summary
The following relates generally to user selection of parameters to approximate desired properties of light scattering. More specifically, in some embodiments, a graphical user interface (GUI) is provided. In some embodiments, in a forward configuration, the GUI accepts an input parameter that is a physical property or optical property of a nanoparticle material (e.g., nanoparticle size, shape, etc.), and outputs an optical effect of the nanoparticle material (e.g., a color, a graph of a reflectance fraction vs. wavelength, etc.); whereas, in an inverse configuration, the GUI accepts the optical effect as the input, and outputs a physical property or optical property of the nanoparticle material.