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Machine learning investigation to predict the relationship between photoluminescence and crystalline properties of Blue Phosphor Ba0.9-xSrxMgAl10o17:Eu2+
Kim, Tae-Guan; Jurakuziev, Dadajon Boykuzi Ugli; Akhtar, M.Shaheer; Yang, O-Bong;
Graduate School of Integrated Energy-AI, Jeonbuk National University, Korea, 54896
Corresponding author: Akhtar, M.Shaheer ([email protected]); Yang, O-Bong ([email protected])
1. Purpose
To predict the relationship between photoluminescence and crystalline properties of blue phosphor Ba0.9-xSrxMgAl10O17:Eu2+ using machine learning.
2. Data availability
Derived data supporting the findings of this study are available from the corresponding author on request.
3. System requirements
The source code is tested of the following 64-bit systems:
- Ubuntu 18.04 LTS
- Windows 10
- Python 3.7.13
Install required packages
pip install -r requirements.txt4. Notebook contents
Import libraries
import pandas as pd
import matplotlib.pyplot as plt
from pandas_profiling import ProfileReport
from pycaret.regression import *
import seaborn as snsData preparation
df = pd.read_csv('./datasets/dataset.csv', encoding="UTF-8")
print(df.head())
print(df.columns)Pearson Correlation Analysis
sns.set(font_scale=1.1)
plt.figure(figsize=(9,8))
corr= df.corr()
sns.heatmap(corr, annot=True, square=False, vmin=-1.0, vmax=1.0, cmap="BuGn",annot_kws={"size": 20}); #annot parameter fills the cells with the relative correlation coefficient, which ranges from -1 to 1
plt.savefig("test.png")Feature Engineering
from pycaret.regression import *
MachineLearning_Model = setup(data = df, target = 'Wavelength', session_id=123, train_size = 0.8,
log_experiment = True, experiment_name = 'Crystal_Structure_PL-Prediction')Modeling
top5 = compare_models(sort='R2', n_select=5)Blend top5 models into an ensemble Voting Regressor model
blender_top5 = blend_models(estimator_list=top5)Predicting
final_model_1 = finalize_model(blender_top5)
prediction = predict_model(final_model_1)License
This project is licensed under the terms of the GNU General Public License v3.0
Citations: tobe defined later
@inproceedings{???,
title = {Machine learning investigation to predict the relationship between photoluminescence and crystalline properties of Blue Phosphor Ba0.9-xSrxMgAl10o17:Eu2+},
author = {Kim, Tae-Guan; Jurakuziev, Dadajon Boykuzi Ugli; Akhtar, M.Shaheer; Yang, O-Bong;},
year = {2022}
}
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