The global performance of RGB OLED displays depends on different factors, such as the emissive properties of the pixels, the illumination conditions, and human perception. In this paper, we present a new automated optical simulation workflow to couple the photonic simulation of the nano- and micro-structure of the pixels with the photometric simulation of the macroscopic display in an illumination scene. We then show a multi-objective optimization for simultaneously achieving high performance across competing metrics at the pixel nanoscale then simulate the display with a Human Vision model to understand the trade-offs at macro scale.
The optical performance of displays benefit from wave-optics phenomena. For example, microgrooves are added to enhance emission efficiency and anisotropic materials can be used for antireflection coatings. Although commercial display simulation tools capture wave-optics behavior of antireflection films, the properties of microgrooves cannot be fully captured. On the other hand, wave-optics simulation methods such as finite-difference time-domain (FDTD) can model microgrooves but hard to simulate antireflection films due to large thicknesses. This article presents a workflow considering both antireflection coatings and microgrooves in one systematic simulation. It’s then straightforward to apply ray-tracing simulations, such as photometric and human perception analysis.
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