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)