From 4d9d73b05bd20469e9749855faf59d120931e646 Mon Sep 17 00:00:00 2001 From: simsekergun <58180288+simsekergun@users.noreply.github.com> Date: Thu, 27 May 2021 16:13:14 -0400 Subject: [PATCH] Update README.md --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1299f03..7e9ed17 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,9 @@ # photodetectors MUTC Photodetector Dataset -This dataset lists four performance metrics of MUTC photodetectors with 17 layers. +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 -* Columns: * +**Columns** 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) @@ -10,3 +11,6 @@ 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) + +**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)