MUTC Photodetector Dataset
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# photodetectors
MUTC Photodetector Dataset
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This dataset lists four performance metrics of 1755 MUTC photodetectors with 17 layers.
The semiconductor types of these layers are fixed and they can be found in https://doi.org/10.1364/OE.27.003717
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**Columns**
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phasenoise : true phasenoise of the photodetector (Unit: dBc/Hz)
phasenoise_15mA : hypothetical phasenoise of the photodetector if the output current was equal to 15 mA (Unit: dBc/Hz)
current : average current of the photodetector (Unit: mA)
IR_max : maximum value of the impulse response of the photodetector
decay_time: the time it takes for the impulse response to decay from its maximum value to 1% of that maximum value (Unit: ns)
t1 ... t17 : thickness each layer (Unit: nm)
d1 ... d17 : doping concentration of each layer (Unit: cm^-3)
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**Forward Problem:** Predicting Performance Metric From Design Parameters
The four machine learning algorithms, linear regression, k-nearest neighbor, random forest, and an artificial neural network, are used to predict performance metrics (phasenoise, current, IR_Max, and decay_time) from the design parameters (thicknesses and doping concentrations)