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Regression model based on OLED data collected

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
.gitignore
.gitignore
 
 
1.0 - OLED features.ipynb
1.0 - OLED features.ipynb
 
 
1.1 - OLED features 2.ipynb
1.1 - OLED features 2.ipynb
 
 
1.2 - OLED features all.ipynb
1.2 - OLED features all.ipynb
 
 
1.3 - features max delta.ipynb
1.3 - features max delta.ipynb
 
 
1.4 - features extend side.ipynb
1.4 - features extend side.ipynb
 
 
1.5 - es_difference.ipynb
1.5 - es_difference.ipynb
 
 
2.0 - Simple linear regression model.ipynb
2.0 - Simple linear regression model.ipynb
 
 
2.1 - Linear regression (new features).ipynb
2.1 - Linear regression (new features).ipynb
 
 
2.2 - Linear Regression - all features.ipynb
2.2 - Linear Regression - all features.ipynb
 
 
2.3 - Linear Regression - all features-new copy.ipynb
2.3 - Linear Regression - all features-new copy.ipynb
 
 
3.0 - Non-linear regression.ipynb
3.0 - Non-linear regression.ipynb
 
 
3.1 - Nonlinear regression (new features).ipynb
3.1 - Nonlinear regression (new features).ipynb
 
 
3.2 - Non-Linear Regression all features.ipynb
3.2 - Non-Linear Regression all features.ipynb
 
 
4.0 - Using MLP regressor.ipynb
4.0 - Using MLP regressor.ipynb
 
 
4.1 - XGBoost.ipynb
4.1 - XGBoost.ipynb
 
 
5.0 - using saved model - pickle.ipynb
5.0 - using saved model - pickle.ipynb
 
 
5.1 - compare algorithm.ipynb
5.1 - compare algorithm.ipynb
 
 
5.2 - Regularized linear model.ipynb
5.2 - Regularized linear model.ipynb
 
 
Phosphorescence OLED model.ipynb
Phosphorescence OLED model.ipynb
 
 
Phosphorescent OLED 2.ipynb
Phosphorescent OLED 2.ipynb
 
 
README.md
README.md
 
 
TADF OLED model.ipynb
TADF OLED model.ipynb
 
 
adaboost_model.sav
adaboost_model.sav
 
 
compare.PNG
compare.PNG
 
 
compare2.PNG
compare2.PNG
 
 
efficiency boxplot.ipynb
efficiency boxplot.ipynb
 
 
energy.jpg
energy.jpg
 
 
knn_compare_model.png
knn_compare_model.png
 
 
pholed_rf_model.sav
pholed_rf_model.sav
 
 
rforest_model.sav
rforest_model.sav
 
 
rforest_newmodel.sav
rforest_newmodel.sav
 
 
tpot_ames_pipeline.py
tpot_ames_pipeline.py
 
 
tpot_pholed.py
tpot_pholed.py
 
 

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OLED-model

regression model based on OLED data collected

Alt text

this is a typical OLED device

Alt text

this is an example of the energy level

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Regression model based on OLED data collected

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