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20 March 2023 A link between micro-LED simulation and Bayesian reasoning
Nicolas Michit
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Proceedings Volume PC12415, Physics and Simulation of Optoelectronic Devices XXXI; PC1241501 (2023) https://doi.org/10.1117/12.2649912
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
We present an overview of kriging benefits when dealing with optical simulations of non-coherent light emitting µLED. Such device is composed of quantum wells (QW) forming a surface embedded in high index material and connected by metallic electrodes. The traditional way to simulate such object is using FDTD with a discretized QW surface into multiple dipoles. It leads to tremendous computational effort when conducting a parameter space exploration in order to optimize the µLED optical behaviour. To diminish the required number of one-dipole simulations, we propose to build a metamodel using Bayesian inference with Gaussian process iteratively building a non-uniform dipole grid more adapted to the QW surface. Gaussian process inference also enables calculating an estimate of the final result’s error margin to provide a stopping criteria for the simulation : it allows to considerably reduce the number of simulations one theoretically needs to perform.
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Nicolas Michit "A link between micro-LED simulation and Bayesian reasoning", Proc. SPIE PC12415, Physics and Simulation of Optoelectronic Devices XXXI, PC1241501 (20 March 2023); https://doi.org/10.1117/12.2649912
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KEYWORDS
Error analysis
Quantum wells
Computer simulations
Bayesian inference
Electrodes
Finite-difference time-domain method
Optical simulations
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