Most laser diode applications use thermoelectric (TE) coolers to maintain a constant temperature. TE coolers rely on the Peltier Effect, whereby driving current through p- and n-type semiconductor materials will cause them to transfer heat. In this paper, a machine learning-based temperature controller for high-power LDs is reported. Peltier observed that, by passing an electric current through a junction of dissimilar metals, heat could be created or absorbed at. To assess the quality, performance, and characteristics of laser diodes, manufacturers often perform exhaustive testing which requires electro-optical, spectral and spatial characterization of the laser output. These cooling methods are significant to make laser diode in compact size, light weight with. Temperature controllers are designed to regulate temperature and remove heat for temperature-sensitive elements such as laser diodes.
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