Modern optimization techniques are used to design high-performance photodetectors. All the designs created during these optimization studies are then used to train a physics-inspired, two-stage neural network to obtain even better-performing devices.
We present two different ways to calculate RF output power of today's complex photodetectors accurately and efficiently by solving drift-diffusion equations. Numerical results show a very good agreement with measurements.
We calculate the phase noise in a modified uni-traveling carrier photodetector for frequency comb applications. In contrast to a continuous wave, a frequency comb is characterized by a distinct phase noise for each comb line.
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