Enhancing Optical Modeling Software for Leading Glass Producer
IQ helped one of North America’s largest glass producer enhance their existing optical modeling software with new capabilities and improved features.
Optical modeling software lets scientists virtually design and test thin film stacks, predicting how light will behave, optimizing layer materials and thicknesses, thus saving time and cost before manufacturing.
The client wanted to expand their existing software with new capabilities to support their scientists with faster, more intuitive workflows and enhanced analytical tools.
Monte Carlo
Simulation
Statistical
Analysis
IQ added the ability to define optimization targets for p-polarized, s-polarized, or unpolarized transmittance and reflectance on a wavelength-by-wavelength basis across the full spectral range. This enables the optimization algorithm to simultaneously optimize coating performance at all specified wavelengths.
We also developed a Monte Carlo simulator that calculates and visualizes the variation in color or other coating properties, accounting for random thickness variations in one or more layers, to illustrate the resulting spread and distribution of coating performance.
Results & Impacts
- Ability to compute accurate thin film interference patterns using matrix methods for s-polarized and p-polarized light at various angles.
- Enabled client’s scientist to efficiently manage complex optical property data for multiple materials.
- Time savings and enhanced collaborations from real-time visualization and optimization of multi-layer stack designs.